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00M-641 IBM Exceptional Web sustain Sales Mastery Test v1

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00M-641 exam Dumps Source : IBM Exceptional Web sustain Sales Mastery Test v1

Test Code : 00M-641
Test designation : IBM Exceptional Web sustain Sales Mastery Test v1
Vendor designation : IBM
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IBM IBM Exceptional Web Experience

Ephox gives you an outstanding prosperous text editing event at IBM's exceptional internet journey convention | true Questions and Pass4sure dumps

PALO ALTO, CA--(Marketwired - June 06, 2013) - Ephox (, a long-time IBM enterprise accomplice, will display how its moneyed textual content modifying utility, EditLive!, can simplify the mode of growing and contributing web content at the 2013 IBM notable net journey event. The convention, which focuses on how organizations can bring attractive internet experiences, takes location in Berlin, Germany, June 11-13, 2013. 

In January, Ephox unveiled EditLive! for IBM Connections, a wealthy text editor that lets Connections users quite simply create incredible content. EditLive! for IBM Connections extends a protracted partnership with IBM, whole through which EditLive! has empowered non-technical authors with the means to create remarkable content material inside IBM net content material supervisor.

"exquisite content is the key to an exceptional net adventure," according to Tom Smith, Ephox VP of international revenue and marketing. "Ephox moneyed text modifying options aid organizations effectively beget a contribution more content material and quicken up the adoption of IBM Connections, guaranteeing they maximize their business outcomes."

EditLive! offers a valid wealthy textual content editing journey which in flip empowers users to create much content material, even if it be in IBM Connections or IBM internet content material supervisor. content authors can be greater productive and beget a contribution larger property content material, therefore expanding the price of the platform and their company.

pleasing capabilities of the EditLive! moneyed textual content editor include: cleanly reproduction and paste from Microsoft office, inline spell checking and thesaurus, picture import and editing, accessibility compliance checking, inline music adjustments and commenting, and damaged hyperlink checking.

apart from a June 12 speaking session titled "raise ROI and Adoption via an excellent modifying experience," conference attendees can survey a demo of EditLive! for IBM Connections and IBM internet content supervisor on the Ephox sales space. 

About EphoxUsed by means of tens of millions of developers and authors global, Ephox's EditLive! wealthy textual content enhancing application makes a speciality of transforming the net production adventure by bettering the productivity and fine of web site authoring and management. The company's expertise is licensed by way of leading net content management vendors together with IBM, EMC|Documentum, and Open textual content. For extra suggestions, argue with, comply with us on Twitter, or relish their fb web page. 

Embedded Video purchasable:

Rajat Paharia founder of Bunchball to communicate at IBM much internet journey 2013 | true Questions and Pass4sure dumps

REDWOOD city, CA, may additionally sixteen, 2013 (Marketwired by way of COMTEX) -- Rajat Paharia, broadly diagnosed because the father of gamification, next week will reveal company leaders, company analysts and executives attending the IBM tremendous internet journey 2013 conference how strategically using video game mechanics can inspire personnel to totally fill interaction with IBM Connections.

In a one-hour presentation on Tuesday, may 21, Paharia will portray how the same confirmed gamification strategies used to attract and hold valued clientele are assisting companies inspire their personnel to travail smarter and collaborate more advantageous, and motivating companionable communities to share and participate more.

Paharia is founder and chief product officer of Bunchball, the pioneer and market chief in gamification, and is the author of a approaching book from McGraw-Hill: Loyalty 3.0: the way to Revolutionize client and employee assignation with huge statistics and Gamification.

In his can furthermore 21 speak, Paharia will define actual-lifestyles case reviews that illustrate how inventive groups are leveraging massive statistics and the tenets of motivational science to beget consume of gamification recommendations that influence in superior participation, sharing, collaboration, researching and achievement.

"agencies invested in IBM Connections are interested in making a extra collaborative, responsive and a professional staff," mentioned Paharia. "but those consequences are viable handiest if employees beget a company's companionable collaboration platform principal to their every day workflow. during this special presentation for IBM Connections companies, they will examine how firms can stimulate the 5 intrinsic motivators that exist in every adult -- the want to be self sufficient, to obtain, to enrich, to beget a difference, and to associate with others -- in ways that create a collaborative tradition of loyal and committed IBM Connections users."

event details:

WHAT: IBM super internet sustain 2013: "the consume of Gamification to Ignite the frequent Adoption and Utilization of IBM Connections and internet adventure solutions"

WHO: Rajat Paharia, Founder and Chief Product Officer, Bunchball

WHEN: Tuesday, can furthermore 21 at 11:15 a.m.

the place: Wilford scope A, Hilton Chicago, 720 South Michigan Avenue, Chicago, Illinois, 60605

About Bunchball: Bunchball is the market chief and visionary in gamification. Bunchball allows groups to enhance company efficiency during their ecosystem by means of creating totally lively and dependable customers, employees, and companions. Bunchball's comprehensive suite of innovative cloud-based solutions empowers groups to interact and motivate, resulting in improved worker productivity, client loyalty, viewers engagement, and ROI. Bunchball's world-class consumers include Adobe, HP, Cisco, MTV, Comcast, LiveOps, VMware and Hasbro. primarily based in Silicon Valley, Bunchball's buyers include Granite Ventures, Triangle peak companions, Northport Investments, and Correlation Ventures. For greater suggestions, visit, their blog at, or comply with @bunchball.

MEDIA CONTACT: Mina Manchester Bateman neighborhood (415) 697-2565 email:

supply: Bunchball

(C) 2013 Marketwire L.P. whole rights reserved.

New IBM utility Transforms the Digital event | true Questions and Pass4sure dumps

ARMONK, N.Y., July 13, 2012 /PRNewswire/ -- IBM (NYSE: IBM) these days introduced new software that helps CMOs and CIOs transform the digital event for personnel, shoppers and lovers across a vast latitude of cell contraptions. 

(picture: (logo:

the brand new utility brings collectively the power of companionable networking, analytics and mobile computing to entrance office operations and externally to shoppers, permitting companies to create exotic net experiences. due to this fact, groups can gain quicker perception on customer buying patterns and client sentiment allowing them to extra without retard attain and interact their audiences. 

As Part of concomitant news, IBM is furthermore announcing the completion of a digital transformation project with the whole England lawn Tennis membership. by way of touring the new from quite a lot of instruments including the iPhone, iPad, Android and different tablets, fans can share counsel, fill interaction with and connect to The Championships as if they were really there seeing the performs in actual-time.   

The website furthermore integrates with a new online television channel, reside @ Wimbledon, alongside IBM's true time suitable evaluation tool, SlamTracker, bringing the most comprehensive digital event to consumers.

"Working with IBM, they now fill created a new digital adventure that goals to showcase the exotic thing about Wimbledon to their millions of enthusiasts whole over. It allows them to definitely fill interaction with the Wimbledon journey as not ever earlier than," observed Mick Desmond, commercial Director at the whole England lawn Tennis membership.  "friends can comply with the progress of their favourite players, view clips of are animated suits, view highlights of the day's motion and net ratings and consequences delivered in true-time.  it's an more and more interactive and consuming online adventure that draws fans, players and the media in ever-more desirable numbers."

With the growing number of cell instruments, companionable networks and companionable media paraphernalia on the upward push, CMOs battle to attain their audiences. on the identical time, CIOs are struggling to give access to company facts on whole types of device for a geographically disbursed group of workers. Given the company realignment between advertising and marketing and expertise, the CMO and CIO can not manage to pay for to operate on divorce degrees. To be triumphant, they will must forge a shared agenda to carry company effects via innovation and effectivity, working collectively to streamline their technology needs. The convergence of companionable and cellular is prompting businesses to revisit a long time-ancient web page to create exceptional net experiences to attain and fill interaction with their audiences.

building on these improved demands, IBM is offering a new consumer adventure Suite giving tens of millions of marketing specialists the energy to manage and integrate whole types of statistics on their internet sites and then analyze it for deeper insight into consumer purchasing patterns and sentiment. additionally delivered nowadays, the new IBM Intranet journey Suite pulls together enterprise assistance and information, customized content material and information, and companionable media and analytics, enabling personnel to join, collaborate and access suggestions at every time, from anyplace.

At European industrial automation technology company Omron, personnel are connecting advantage and technical information in the course of the company's Intranet, assisting to meet the particular wants of their purchasers. Omron delivers an exceptional web adventure to its 1,seven hundred European employees via a lone communique platform that embeds primary companionable information into the daily workflow.  Omron has sped expertise sharing across boundaries and between departments, enabling employees to usher valued clientele more advantageous and faster.

"the realm is altering and is becoming more and more linked and social," observed Michel Min, Head of Strategic communication & eMarketing, Omron Europe B.V. "on account of this, they recognize their consumers are altering as well, which is why it be increasingly captious to be positive their sales groups fill the commandeer guidance at the redress time."

Analytics to assist marketers fill interaction Audiences

From digital advertising and cell commerce, to sites and companionable media, entrepreneurs are inundated -- often paralyzed -- with the aid of facts amassed from buyers via searches, buy histories, facebook "likes" and comments on Twitter. fuse that with records about in-keep traffic, conversations with convoke centers and updates from suppliers, cutting-edge entrepreneurs confront a regular deluge of statistics ready to be sifted for nuggets of intelligence they could act upon to enhance their business.

by 2017, the CMO can fill more desirable manage of the IT finances than the CIO, according to Gartner(1). advertising and marketing budgets will develop 7-8 p.c over the subsequent 365 days, which is 2-3 instances that of IT budgets. despite the fact, despite their turning out to be reliance on expertise and their hovering budgets, CMOs without problems admit they want the advantage that IT requires.  in accordance with the IBM CMO analyze, while 79 p.c of CMOs predict inordinate ranges of complexity of their job over the next five years, most efficient 48 percent suppose organized to contend with it. 

on account of this, or not it's vital for CMOs to not only be privy to and video display the companionable conversation, but to really seize into account the sentiment and fill interaction one-on-one with that consumer. Taking it one step extra would be to integrate these conversations without retard into the organization's web web page, offering one region to both network and shop.

the new IBM customer journey Suite offers CMOs with the vigour to maneuver and combine whole kinds of information on their internet sites after which analyze it for deeper insight into customer purchasing patterns and sentiment. net statistics has advanced these days to consist of companionable media, videos, and web-based mostly varieties, as well as common enterprise facts similar to economic, consumer and order records, and transactions.  The software suite pulls collectively IBM's market-leading enterprise portal, internet content material management, forms, and enterprise companionable networking utility into a lone view.

CIOs growing high-quality Intranets To assist personnel gain insight from information Deluge

the new IBM utility additionally helps business leaders prolong their corporate intranet to a huge latitude of mobile contraptions in order to deepen employee collaboration and counsel sharing.

in accordance with IDC, employees usually survey up to a 30 % enhance in productiveness the usage of companionable paraphernalia internally to comprehensive their work(2). With limitless access to any class of information, patrons are expecting this identical plane of assistance availability in their skilled lives, in an trouble to travail efficaciously and gain enterprise desires quickly.

the brand new IBM Intranet adventure application brings the vigor of companionable and analytics capabilities to CIOs and features of business personnel helping corporations innovate and evolve their inside operations and communications. The solution pulls collectively company counsel and records, customized content material and information, and companionable media and analytics, enabling employees to connect, collaborate and entry guidance at every time, from anyplace.

for instance, IBM's new intranet platform gives HR executives and business leaders with application to assist employees greater interact throughout networks and enterprise devices, and entry guidance from numerous sources together with exterior and internal information feeds.

Working with IBM and its associate Portico, Omron created an award-winning business intranet, known as Ozone internally, assisting to create a single-supply conversation and collaboration platform for whole 1,700 European personnel. The IBM Intranet journey Suite integrates with external companionable media, including Twitter, LinkedIn and YouTube, permitting personnel to prefer and choose which functions they necessity in their Intranet view. for instance, a sales manager can leverage the Cognos utility integration to beget positive a limpid view into monthly income studies through vicinity, in addition to aggressive history on new product updates and forecasts.

"it be simple to present primary companionable assistance within the commandeer business context embedded in worker's each day workflow," endured Min. "by using measuring, analyzing and filtering companionable suggestions, after which injecting these insights to the redress people at the commandeer time, true business cost will furthermore be generated with the aid of bringing technical wisdom without retard to the client."

Omron has the ambition to associate personnel international, with its Ozone intranet being accelerated into Asia these days. Omron Europe is furthermore trying out cellular entry for whole frequent instruments including the iPad.

Sources:(1) Gartner Webinar, by 2017 the CMO Will spend greater on IT Than the CIO, January 2012  (2) IDC, Measuring for fulfillment: companionable enterprise ROI, Doc # DR2011_T7_ET, Mar 2011   

Media Contact:Hanna Smigala IBM Media members of the family

supply IBM agency

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iPhoney: Test Your Site for iPhone Compatibility | true questions and Pass4sure dumps

Can’t afford an iPhone (or don’t live in the US) but fervent to check how your site might peer on the hottest device of the moment?

Screenshot of as viewed in the iPhoney application Enter the iPhoney: a petite (1.3MB) desktop application that simulates web browsing on the newly released device.

iPhoney is not an iPhone simulator but instead is designed for web developers who want to create 320 by 480 (or 480 by 320) websites for consume with iPhone. It gives you a canvas on which to test the visual property of your designs.

This cleverly named app is a much appliance for developers who want a scabrous thought of whether their site will be usable by the one million iPhone owners who signed up in the first six days. With sales relish that, it’s conceivable that, within a few years, visitors browsing on an iPhone could amount to a significant percentage of your site’s visitors.

Sure, developers fill always been able to resize their window to test how a site renders on smaller screens, but the beauty of this app is:

  • You can instruct it to transmit the iPhone User Agent string, in case the site you’re checking performs any content negotiation based on this string.
  • You can instruct it to disable plugins such as flash and JavaScript, which aren’t yet supported by the iPhone.
  • You can quickly rotate the viewport, as you can on the true thing.
  • Resizing your browser just isn’t as much fun as loading up an iPhone look-alike on your screen.
  • iPhoney is only available for Mac at this point, although given the recent release of Safari for Windows, and the fact that the code has been open sourced, I imagine that a Windows port is not far off.

    Ah, the beauty of having users who are passionate about your product — they’ll create stuff that supports and promotes it whole on their own! I don’t know why phone companies don’t proffer something relish this as a free download — what better way to promote your phone, while at the same time providing a way for developers to ensure that the Web works as it should for more customers?

    Matthew Magain is a UX designer with over 15 years of sustain creating exceptional digital experiences for companies such as IBM, Australia Post, and He is currently the Chief Doodler at Sketch Group, Co-founder of UX Mastery, and recently co-authored Everyday UX, an inspiring collection of interviews with some of the best UX Designers in the world. Matthew is furthermore the creator of Charlie Weatherburn and the Flying Machine.

    The Best Self-Service business Intelligence (BI) Tools of 2018 | true questions and Pass4sure dumps

    Analytics Beyond Spreadsheets

    For many years, Microsoft outdo and other spreadsheets were the tools of election for business professionals who were looking to visualize their data. But spreadsheets had their limits for many business intelligence (BI)-related tasks. Even today, trying to creating charts analyzing intricate datasets in outdo can silent be frustrating. Sometimes you start with the wrong benign of data, for example, or you may not know how to maneuver the spreadsheet to create the data visualization{{/ZIFFARTICLE} you need. On the other hand, the rising tide of data democratization is giving everyone in an organization access to corporate data. The necessity has arisen for efficient tools that people of whole skill levels can consume to beget sense of the wealth of information created by businesses every lone day.

    Spreadsheets furthermore drop down when the data isn't well-structured or can't be sorted out in shipshape rows and columns. And, if you fill millions of rows or very sparse matrices, then the data in a spreadsheet can be painful to enter and it can be difficult to visualize your data. Spreadsheets furthermore fill issues if you are trying to create a report that spans multiple data tables or that mixes in Structured Query Language (SQL)-based databases, or when multiple users try to maintain and collaborate on the same spreadsheet.

    A spreadsheet containing up-to-the-minute data can furthermore be a problem, particularly if you fill exported graphics that necessity to be refreshed when the data changes. Finally, spreadsheets aren't valid for data exploration; trying to spot trends, outlying data points, or counterintuitive results is difficult when what you are looking for is often hidden in a long row of numbers.

    While spreadsheets and self-service BI tools both beget consume of tables of numbers, they are really acting in different arenas with different purposes. A spreadsheet is first and foremost a way to store and display calculations. While some spreadsheets can create very sophisticated mathematical models, at their core it is whole about the math more than the model itself.

    This is whole a long-winded way of saying that when businesses consume a spreadsheet, they are actively sabotaging themselves and their ability to consistently net valuable insights from their data. BI tools are specficially designed to attend businesses better understand their data, and can prove to be a huge benefit to those upgrading from what a limited spreadsheet can do.

    What Is business Intelligence?

    Defining BI is tricky. When you examine what it does and why companies consume it, it can start to sound vague and nebulous. After all, many different kinds of software proffer analytics features, and whole businesses want to improve. Understanding what a BI is or isn't can be unclear.

    BI is an umbrella term meant to cover whole of the activities necessary for a company to whirl raw information into actionable knowledge. In other words, it's a company's efforts to understand what it knows and what it doesn't know of its own being and operations. The ultimate goal is being able to augment profits and sharpen its competitive edge.

    Framed that way, BI as a concept has been around as long as business. But that concept has evolved from early basics [like Accounts Payable (AP) and Accounts Receivable (AR) reports and customer contact and compress information] to much more sophisticated and nuanced information. This information ranges across everything from customer behaviors to IT infrastructure monitoring to even long-term fixed asset performance. Separately tracking such metrics is something most businesses can effect regardless of the tools employed. Combining them, especially disparate results from metrics normally not associated with one another, into understandable and actionable information, well, that's the craft of BI. The future of BI is already shaping up to simultaneously broaden the scope and variety of data used and to sharpen the micro-focus to ever finer, more granular levels.

    BI software has been instrumental in this equable progression towards more in-depth scholarship about the business, competitors, customers, industry, market, and suppliers, to designation just a few viable metric targets. But as businesses grow and their information stores balloon, the capturing, storing, and organizing of information becomes too great and intricate to be entirely handled by mere humans. Early efforts to effect these tasks via software, such as customer relationship management (CRM) and enterprise resource planning (ERP), led to the formation of "data silos" wherein data was trapped and useful only within the confines of positive operations or software buckets. This was the case unless IT took on the chore of integrating various silos, typically through painstaking and highly manual processes.

    While BI software silent covers a variety of software applications used to analyze raw data, today it usually refers to analytics for data mining, analytical processing, querying, reporting, and especially visualizing. The main inequity between today's BI software and gargantuan Data analytics is mostly scale. BI software handles data sizes typical for most organizations, from petite to large. gargantuan Data analytics and apps ply data analysis for very great data sets, such as silos measured in petabytes (PBs).

    Self-Service BI and Data Democratization

    The BI tools that were approved half a decade or more ago required specialists, not just to consume but furthermore to interpret the resulting data and conclusions. That led to an often inconvenient and fallible filter between the people who really needed to net and understand the business—the company determination makers—and those who were gathering, processing, and interpreting that data—usually data analysts and database administrators. Because being a data specialist is a demanding job, many of these folks were less well-versed in the actual workings of the business whose data they were analyzing. That led to a focus on data the company didn't need, a misinterpretation of results, and often a series of "standard" reporting that analysts would flee on a scheduled basis instead of more ad hoc intelligence gathering and interpretation, which can be highly valuable in fast-moving situations.

    This problem has led to a growing new trend among new BI tools coming onto the market today: that of self-service BI and data democratization. The goal for much of today's BI software is to be available and usable by anyone in the organization. Instead of requesting reports or queries through the IT or database departments, executives and determination makers can create their own queries, reports, and data visualizations through self-service models, and connect to disparate data both within and outside the organization through prebuilt connectors. IT maintains overall control over who has access to which tools and data through these connectors and their management appliance arsenal, but IT no longer acts as a bottleneck to every query and report request.

    As a result, users can seize advantage of this distributed BI model. Key tools and captious data fill moved from a centralized and difficult-to-access architecture to a decentralized model that merely requires access credentials and familiarity with new BI software. This results in a whole new benign of analysis becoming available to the organization, namely, that of experienced, front-line business people who not only know what data they necessity but how they necessity to consume it.

    The emerging crop of BI tools whole travail difficult at developing front-end tools that are more intuitive and easier to consume than those of older generations—with varying degrees of success. However, that means a key criteria in any BI appliance purchasing determination will be to evaluate who in the organization should access such tools and whether the appliance is appropriately designed for that audience. Most BI vendors witness they're looking for their appliance suites to become as ubiquitous and light to consume for business users as typical business collaboration tools or productivity suites, such as Microsoft Office. not anything fill gotten quite that far yet in my estimation, but some are closer than others. To that end, these BI appliance suites minister to focus on three core types of analytics: descriptive (what did happen), prescriptive (what should happen now), and predictive (what will happen later).

    What Is Data Visualization?

    In the context of BI software, data visualization is a relish a flash and efficient mode of transferring information from a machine to a human brain. The thought is to location digital information into a visual context so that the analytic output can be quickly ingested by humans, often at a glance. If this sounds relish those pie and bar charts you've seen in Microsoft Excel, then you're right. Those are early examples of data visualizations.

    But today's visualization forms are rapidly evolving from those traditional pie charts to the stylized, the artistic, and even the interactive. An interactive visualization comes with layered "drill downs," which means the viewer can interact with the visual to gain more granular information on one or more aspects incorporated in the bigger picture. For example, new values can be added that will change the visualization on the fly, or the visualization is actually built on rapidly changing data that can whirl a static visual into an animation or a dashboard.

    The best visualizations effect not seek artistic awards but instead are designed with role in mind, usually the quick and intuitive transfer of information. In other words, the best visualizations are simple but powerful in clearly and directly delivering a message. High-end visuals may peer impressive at first glance but, if your audience needs attend to understand what's being conveyed, then they've ultimately failed.

    Most BI software, including those reviewed here, comes with visualization capabilities. However, some products proffer more options than others so, if advanced visuals are key to your BI process, then you'll want to closely examine these tools. There are furthermore third-party and even free data visualization tools that can be used on top of your BI software for even more options.

    Products and Testing

    In this review roundup, I tested each product from the perspective of a business analyst. But I furthermore kept in intuition the viewpoint of users who might fill no familiarity with data processing or analytics. I loaded and used the same data sets and posed the same queries, evaluating results and the processes involved.

    My direct was to evaluate cloud versions alone, as I often effect analysis on the wing or at least on a variety of machines, as effect legions of other analysts. But, in some cases, it was necessary to evaluate a desktop version as well or instead of the cloud version. One specimen of this is Tableau Desktop, a favorite appliance of Microsoft outdo users who simply fill an affinity for the desktop appliance (and who just lumber to the cloud long enough to share and collaborate).

    I ended up testing the Microsoft Power BI desktop version, too, on a Microsoft representative's recommendation because, as the rep said, "the more robust data prep tools are there." Besides, said the rep, "most users prefer the desktop appliance over a web appliance anyway." Again, I don't doubt Microsoft's title but that does appear unearthly to me. I've heard it said that desktop tools are preferred when the data is local as the process feels faster and easier. But seriously, how much data is truly local anymore? I suspect this odd desktop appliance preference is a bit more personal than fact-based, but to each his own.

    Then there's Google Analytics, a unadulterated cloud player. The appliance is designed to analyze website and mobile app data so it's a different critter in the BI app zoo. That being the case, I had to deviate from using my test data set and queries, and instead test it in its natural habitat of website data. Nonetheless, it's the processes that are evaluated in this review, not the data.

    While I didn't test any of these tools from a data scientist's role, I did mention advanced capabilities when I institute them, simply to let buyers know they exist. IBM Watson Analytics is one appliance with the ability to extend to highly advanced features and was furthermore one of the easiest to consume upfront. IBM Watson Analytics is well-suited for business analysts and for widespread data democratization because it requires little, if any, scholarship of data science. Instead, it works well by using natural language and keywords to form queries, a characteristic that can beget it valuable to practically anyone. It's highly intuitive, very powerful, and light to learn. Microsoft Power BI is a strong second as it, too, is powerful while furthermore familiar, certainly to any of the millions of Microsoft business users. However, there are several other powerful and intuitive apps in this lineup from which to choose; they whole fill their own pros and cons. We'll be adding even more in the coming months.

    One thing to watch out for during your evaluations of these products is that many don't yet ply streaming data. For many users, that won't be a problem in the immediate future. However, for those involved with analyzing business processes as they happen, such as website performance metrics or customer behavior patterns, streaming data can be invaluable. Also, the Internet of Things (IoT) will drive this issue in the near future and beget streaming data and streaming analytics a must-have feature. Many of these tools will fill to up their game accordingly so, unless you want to jump ship in a year or two, it's best to reflect ahead when considering BI and the IoT.

    BI and gargantuan Data

    Another area in which self-service BI is taking off is in analyzing gargantuan Data. This is a newer progress in the database space but it's driving tremendous growth and innovation. The designation is an apt descriptor because gargantuan Data generally refers to huge data sets that are simply too gargantuan to be managed or queried with traditional data science tools. What's created these behemoth data collections is the explosion of data-generating, tracking, monitoring, transaction, and companionable media tools (to designation a few) that fill become so approved over the ultimate several years.

    Not only effect these tools generate loads of new data, they furthermore often generate a new benign of data, namely "unstructured" data. Broadly speaking, this is simply data that hasn't been organized in a predefined way. Unlike more traditional, structured data, this benign of data is massive on text (even free-form text) while furthermore containing more easily defined data, such as dates or credit card numbers. Examples of apps that generate this benign of data include the customer behavior-tracking tools you consume to survey what your customers are doing on your e-commerce website, the piles of log and event files generated from some smart devices (such as alarms and smart sensors), and broad-swath companionable media tracking tools.

    Organizations deploying these tools are being challenged not only by a sudden deluge of unstructured data that quickly strains storage resources [think beyond terabytes (TB) into the PB and even exabyte (EB) range] but, even more importantly, they're finding it difficult to query this new information at all. Traditional data warehouse tools generally weren't designed to either manage or query unstructured data. New data storage innovations such as data lakes are emerging to unravel for this need, but organizations silent relying exclusively on traditional tools while deploying front-line apps that generate unstructured data often find themselves sitting on mountains of data they don't know how to leverage.

    Enter gargantuan Data analysis standards. The golden yardstick here is Hadoop, which is an open-source software framework that Apache specifically designed to query great data sets stored in a distributed fashion (meaning, in your data center, the cloud, or both). Not only does Hadoop let you query gargantuan Data, it lets you simultaneously query both unstructured as well as traditional structured data. In other words, if you want to query whole of your business data for maximum insight, then Hadoop is what you need.

    You can download and implement Hadoop itself to accomplish your queries, but it's typically easier and more efficient to consume commercial querying tools that employ Hadoop as the foundation of more intuitive and full-featured analysis packages. Notably, most of the tools reviewed here, including Chartio, IBM Watson Analytics, Microsoft Power BI, and Tableau Desktop, whole support this. However, each requires varying levels of configuration or even add-on tools to effect so—with IBM, Microsoft, and Tableau offering exceptionally deep capabilities. However, both IBM and Microsoft will silent expect customers to utilize additional tools around aspects such as data governance to ensure optimal performance.

    Finding the prerogative BI Tool

    Given the issues spreadsheets can fill when used as ad hoc BI tools and how firmly ingrained they are in their psyches, finding the prerogative BI appliance isn't a simple process. Unlike spreadsheets, BI tools fill major differences when it comes to how they consume data inputs and outputs and maneuver their tables. Some tools are better at exploration than analysis, and some require a fairly sheer learning curve to really beget consume of their features. Finally, to beget matters worse, there are dozens if not hundreds of such tools on the market today, with many vendors willing to title the self-serve BI label even if it doesn't quite fit.

    Getting the overall workflow down with these tools will seize some study and discussion with the people you'll be designating as users. Tableau Desktop and Microsoft Power BI, for example, will start users out with the desktop version to build visualizations and link up to various data sources. Once you fill this together, you can start sharing those results online or across your organization's network. With others, such as Chartio or Google Analytics, you start in the cloud and tarry there.

    In recent years, companies fill been taking advantage of the wide selection of online learning platforms out there to train their employees on using these platforms. As intuitive as these platforms may be, it is primary to beget positive that your employees actually know how to consume these BI platforms so that you can beget positive your investment was worthwhile. There are many ways of approaching this, but using the prerogative online learning platform might be a valid location to start looking.

    Given the wide price scope of these products, you should segment your analytics needs before you beget any buying decision. If you want to start out slowly and inexpensively, then the best route is to try something that offers significant functionality for free, such as Microsoft Power BI. Such tools are very affordable and beget it light to net started. Plus, they minister to fill great ecosystems of add-ons and partners that can be a cost-effective replacement for doing BI inside a spreadsheet. Tableau Desktop silent has the largest collection of charts and visualizations and the biggest ally network, though both IBM Watson Analytics and Microsoft Power BI are catching up fast.

    IBM Watson Analytics scored the highest, and Microsoft Power BI and Tableau Desktop scored the next highest in their roundup. However, whole three products received their Editors' election award. Tableau Desktop may fill a gargantuan price tag depending on which version you choose but, as previously mentioned, it has an exceptionally great and growing collection of visualizations plus a manageable learning curve if you're willing to consecrate some trouble to it. Microsoft Power BI and Tableau Desktop furthermore fill great and growing collections of data connectors, and both Microsoft and Tableau fill their own sizable communities of users that are vocal about their wants and needs. This can carry a lot of weight with the vendors' progress teams so it's a valid thought to spend some time looking through those community forums to net an thought where these companies are headed.

  • Pros: Extremely user-friendly. exotic automatic report generation. Impressive support availability.

    Cons: Automated reports can quickly become defaults. sheer learning curve that might fling beginners.

    Bottom Line: Zoho Reports is a solid option for universal business users who might not be knowledgeable in analytics software. It's furthermore available at an attractive price.

    Read Review
  • Pros: Accessible user interface. Smart guidance features. Impressively relish a flash analytics. Robust natural language querying.

    Cons: Unable to effect real-time streaming analytics.

    Bottom Line: IBM Watson Analytics is an exceptional business intelligence (BI) app that offers a strong analytics engine along with an excellent natural language querying tool. This is one of the best BI platforms you'll find and easily takes their Editors' election honor.

    Read Review
  • Pros: Extremely powerful platform with a wealth of data source connectors. Very user-friendly. Exceptional data visualization capabilities.

    Cons: Desktop and web versions divide data prep tools. Refresh cycle is limited on free version.

    Bottom Line: Microsoft Power BI earns their Editors' election veneration for its impressive usability, top-notch data visualization capabilities, and superior compatibility with other Microsoft Office products.

    Read Review
  • Pros: immense collection of data connectors and visualizations. User-friendly design. Impressive processing engine. mature product with a great community of users.

    Cons: plenary mastery of the platform will require substantial training.

    Bottom Line: Tableau Desktop is one of the most mature offerings on the market and that shows in its feature set. While it has a steeper learning curve than other platforms, it's easily one of the best tools in the space.

    Read Review
  • Pros: Bottlenecks are eliminated thanks to in-chip processing. Impressive natural language query in third-party applications.

    Cons: Might be too difficult for self-service business intelligence (BI). Analytics process silent needs to be ironed out. Natural language capability can be limited.

    Bottom Line: Sisense is a complete platform that should be approved for experienced BI users. It may drop short for beginners, however.

    Read Review
  • Pros: Wide scope of connectors. Impressive sharing features. Limitless data storage.

    Cons: User interface is not intuitive. sheer learning curve. Unwelcoming to new analysts.

    Bottom Line: Domo isn't for newcomers but for companies that already fill business intelligence (BI) sustain in their organization. Domo's a powerful BI appliance with a lot of data connectors and solid data visualization capabilities.

    Read Review
  • Pros: Exceptional platform for website and mobile app analytics.

    Cons: Customer support has way too much automation. Focus on marketing and advertising can be frustrating to users. Relies mostly on third parties for training.

    Bottom Line: Due to its brand recognition and the fact that it's free, Google Analytics is the biggest designation in website and mobile app intelligence. It has a sheer learning curve but it is an awesome business intelligence tool.

    Read Review
  • Pros: Designed with universal business users in mind. Solid recur on investment.

    Cons: The data you can consume is limited. Needs additional platform to connect.

    Bottom Line: The Salesforce Einstein Analytics Platform is designed for customer, sales, and marketing analyses, although it can server other needs, too. Its powerful analytics capabilities along with its solid natural language querying functionality and a wide array of partners beget it an attractive offering.

    Read Review
  • Pros: Real-time analytics for Internet of Things (IoT) and streaming data features. Massive ecosystem with abundant extenders. Responsive pages beget mobile publishing easiest. Impressive storytelling paradigm. Centralized view with consolidated analytics.

    Cons: Data prep features are lacking. Confusing toolbar design. Not friendly for beginners.

    Bottom Line: If your business already uses SAP's HANA database platform or some of its other back-end business platforms, then SAP Analytics Cloud is a powerful, well-priced choice. But be warned that there's a sheer learning curve and a eminent dependence on other SAP products for plenary functionality.

    Read Review
  • Pros: Impressive processing engine. Powerful query optimization on SQL. Entirely web-based. intricate queries are handled very well.

    Cons: Poorly designed user interface. sheer learning curve.

    Bottom Line: Chartio excels at building a powerful analytics platform that experienced business intelligence (BI) users will appreciate. Those new to BI, however, will find it very difficult to use.

    Read Review
  • Pros: Very deep SQL modeling ability. Uses Git for version management and collaboration.

    Cons: Very expensive. Not for petite teams.

    Bottom Line: Looker is a much self-service business intelligence (BI) appliance that can attend unify SQL and gargantuan Data management across your enterprise.

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  • Pros: Custom access roles. Solid collection of public data online.

    Cons: intricate pricing is a deterrent.

    Bottom Line: Qlik Sense Enterprise Server is a self-service business intelligence (BI) appliance that delivers the best collection of user access roles among the BI tools they tested, and furthermore demonstrates a promising start towards integrating Data-as-a-Service (DaaS).

    Read Review
  • Pros: One of the largest collections of data connectors. Many granular access roles.

    Cons: No free tribulation available. Training webinars can be costly.

    Bottom Line: The company's Focus query language is showing its age but Information Builders' self-service business intelligence (BI) appliance WebFocus nevertheless has some powerful analysis features.

    Read Review
  • Pros: Very light to net started. Nice team management and collaboration features.

    Cons: The cloud version has a subset of features institute in Windows version. Online documentation could be improved.

    Bottom Line: While Tibco is silent making the transition from a desktop to a cloud software vendor, its self-service business intelligence (BI) appliance Tibco Spotfire is a much way to start visualizing your outdo data.

    Read Review
  • Pros: Excellent analytical support for Intuit QuickBooks. Very light setup.

    Cons: Installation and setup is a bit of chore. No support for Intuit QuickBooks' online versions.

    Bottom Line: Clearify QQube is the best self-service business intelligence (BI) appliance for in-depth analysis of your Intuit QuickBooks files, though you'll necessity to peer elsewhere for broader BI tasks.

    Read Review

  • Cambridge Technology Enterprises Ltd Management Discussions. | true questions and Pass4sure dumps


    The world is transforming and they are in the middle of the lone largest transformation the world has even seen since the Industrial Revolution nearly 250 years ago. gargantuan Data powered by synthetic Intelligence (AI) and Machine Learning is the next natural resource, relish air, oil, water, and the convergence of gargantuan Data and Cloud with AI and Machine Learning is a potential multi-trillion-dollar opportunity.

    AI is transforming the way businesses are defined, designed and delivered and enterprise value is captured. The trend is accelerating as a recent research from Gartner estimates that customers will be able to manage 85 percent of the interactions with an enterprise without human intervention by 2020. In the years to come, enterprises will adopt a differentiated IT strategy by implementing AI and exploring the potential of gargantuan Data.


    • According to a new research by Salesforce ‘State of the Connected Customer, 57 percent of consumers expect voice-activated smart assistants to fill a major or qualify repercussion on their daily lives by 2020.

    • Gartner predicts that 30% of whole companies will employ AI to augment at least one of their primary sales processes by 2020.

    • According to Gartner, 20% of companies will dedicate workers to monitor and usher neural networks by 2020.

    • As per McKinsey, the total annual external investment in AI was between $8B-$12B in 2016, with ML attracting nearly 60% of that investment.

    • IBM Watson forecasts a $2 trillion chance in the ML market over the next decade.

    • IDC estimates that by 2020, transactions on the internet will gain 450 billion per day and enterprise-generated content will exceed 240 exabytes i.e. 240 billion gigabytes daily.

    • A survey by Veritas states that over 70 percent of enterprises has the persuasion that cloud is no more ‘optional for companies to remain competitive. • According to IDC, 60 percent of ML will flee on Amazon, Google, IBM, or Microsoft by 2020.


    IDC predicts that the Cognitive Systems and AI market will grow from $8 Billion in 2016 to $47 Billion in 2020. Forrester predicts a 300% augment in AI investments in 2017 compared to 2016.

    "We are entering a new world. The technologies of machine learning, speech recognition, and natural language understanding are reaching a nexus of capability." –Amy Stapleton, Independent Industry Analyst : Opus Research

    Information and communications, Manufacturing and fiscal Services are the early adopters of AI and will survey the highest growth rates driven by AI in 2035. (Source – McKinsey and Accenture Research).

    AI can beget immediate contributions towards captious business decisions leading to increased profitability for the organizations. Some of the areas where the repercussion of AI can be felt almost immediately are supply chain management, forecasting, inventory optimization and production scheduling in Manufacturing, improving efficiencies by reducing the errors in repetitive, manual tasks including credit scoring and first-level customer inquiries for fiscal services. AI drives significant cost, time and process-related savings rapidly for whole the industries. Availability of high-speed bandwidth, computing resources and growth in gargantuan Data are the three key drivers for synthetic Intelligence and will continue to fuel AI implementation by enterprises for long term benefits.

    The current AI wave is poised to finally smash through

    Investment in AI is growing at a lofty rate, but adoption in 2017 remains low

    Machine Learning

    AI is a broad term that encompasses a lot of technologies with different capabilities to support determination making. One such technology is Machine Learning. Machine Learning implementation will grow as Machine Learning as a Service (MLaaS) and is estimated to grow from USD 613.4 Million in 2016 to USD 3,755.0 Million by 2021, at a CAGR of 43.7% from 2016 to 2021.

    ML contributions across industries cover scope of functions relish customer services, sales & marketing, production challenges, data analysis and predictive analysis for determination making. The data moneyed organizations fill a limpid advantage because of MLs ability to learn and help continuously.

    Exponential Data Growth in terms of unstructured data and real-time data from IoT networks, and economics of digital storage and cloud computing are growth drivers for ML across industries. According to Gartner, 80% of enterprise data is unstructured and captious for strategic business decisions, further adding to an inevitable necessity for ML implementation.

    Big Data

    IDC estimates that worldwide revenues for gargantuan Data and business Analytics will grow from $130 Billion in 2016 to more than $203 Billion in 2020, at a CAGR of 11.7%. great companies will be the primary adopters of the gargantuan Data opportunity, expected to generate revenues exceeding $154 Billion in 2020.

    Big Data is making an repercussion across various business operations relish customer sentiment analysis, hyper-personalized customer experiences, reducing churn rate of customers, understanding buying and media preference of customers, and fraud and risk management to mention a few. The major drivers for gargantuan Data are business needs of innovation, potential for new insights and growth of data in various formats with huge potential to contribute to profitability of businesses.


    As per Gartner, public cloud services market is poised to grow up from $209.2 Billion in 2016 to $246.8 Billion in 2017. Infrastructure as a service (IaaS) will continue to drive highest growth and is projected to grow 36.8 percent in 2017 to gain $34.6 Billion.

    SaaS will continue to grow as second largest segment in cloud services market. Cloud services market will sustain additional claim to migrate existing in-house infrastructure to the cloud because of synthetic Intelligence and Internet of Things (IoT).


    Data is growing faster than ever before. According to Marketing Cloud report by IBM, 90% of the data in the world today has been created in the ultimate two years alone. Today, less than 1% of the worlds data is analysed, according to Digital Universe Study. Implementing AI technologies fill the ability to harness the plenary potential of data.

    AI and Machine Learning fill been discussed for decades but the convergence of gargantuan Data and Cloud with AI and Machine Learning is true now for three reasons:

    a. Computing power: Computing resources available today are exceptional. With access to technologies relish AWS, Microsoft Azure, computing power is no longer a constraint.

    b. Bandwidth: Better availability of lofty bandwidth has positively impacted accessibility.

    c. Data: Access to great volumes of unstructured and structured data is changing the information landscape at their disposal.


    The ultimate generation of trillion dollars were created out of traditional Indian IT technology businesses that were focused on back-end and costs. The next trillions of dollars will be created by front-end innovation driven technology companies focused on value.

    AI is going to transform businesses faster than ever and the first signs of this transformation are seen in sectors like:

    Energy: Advances in disruptive technologies will survey potential challenges in Energy sector getting resolved. For instance, U.S. Energy Information Administration says that buildings account for 48.7 percent of overall energy consumption, more than any other industry. Powerful computation models built on gargantuan Data and Cloud can attend reduce dependency on energy, availability, costs and consumption.

    Lifesciences & Pharmaceuticals: The consume of transformative technologies to understand the complexities that arise from the combination of a variety of data from areas relish clinical research, plants and animal genomics could reveal completely innovative approaches to treatment of diseases.

    Data Infrastructure: There is a huge chance for Information Management in the areas relish Data storage, Fraud Detection and Prevention, Compliance Reporting, Risk Management to designation a few.


    AI will define industries both new ones and antiquated leveraging gargantuan Data, Cloud and Machine Learning to transform data into a valuable scholarship asset and a yeast for disruption. Every human life and business in this world will be transformed with this disruption and millions of transformative businesses will be created. The result is a daring new world and a transformation of an antiquated world.


    The chance - Discovering AI is the new normal

    As the world transforms, businesses are going to cease up with ‘haves and have-nots in the AI space. There will be businesses with resources to implement AI solutions and consume AI to net to decisions, and there will be businesses standing silent in the have-not space. According to a Forrester report "Predictions 2017: synthetic Intelligence Will Drive The Insights Revolution", businesses adopting AI will seize revenues worth $1.2 trillion per annum from their less informed peers by 2020. Discovering the power of AI for your business will be the new normal.

    Your company solves the worlds intricate and most consuming business challenges with AI, transforming organizations into "AI-first" leaders by enabling its customers to create AI solutions that transform their businesses and industries. Your companys products and services address whole the transformational AI needs of an organization — from strategic workshops and ready-to-deploy solutions, to implementation of transformative business solutions through its AI as a Service (AIaaS) leveraging gargantuan Data, Cloud & Machine Learning experience.

    Integrated Offerings

    Businesses necessity a lot of elements to implement AI. They necessity an ingredient of gargantuan Data and Cloud which is provided by Cambridge Bigdata where your company serves enterprise clients, then they necessity the elements of Cambridge Bizserve that allows to manage data, then they necessity elements of innovation offered by Cambridge Innovations that attend businesses leapfrog and most importantly, draw insights to seize the decisions, offered by Cambridge DataScience. Your companys offerings suitable together because of its understanding towards the entire lifecycle of a business.

    Building the Foundation

    In 2015, your company envisaged a two-year business blueprint for 2015-16 and 2016-17 to focus on three areas – building partnerships, acquiring referenceable clients in its chosen verticals and acquiring relevant expertise in technologies. In 2016-17, your company achieved the revenues of INR 100 crores while serving marquee enterprise clients relish Schneider Electric, Hills Pet Nutrition and Iron Mountain. In the ultimate two years, your company has do together the foundation that allows it to be better prepared to seize advantage of the market opportunity.


    Through its ally network, your company gains access to the best technology framework and solutions, strengthening its delivery capabilities.

    Amazon Web Services: Your company has developed deep relationship with AWS spanning whole disciplines in the organization and has invested consistently in the AWS technology stack. Your company has successfully delivered several projects on AWSs technology, including; Redshift, SaaS applications, Dev/Test and QA environments, Architecture Design and Implementation, BI/BA, S3, Glacier and more. Your company is committed to continue building its AWS relationship and leveraging technology for the benefit of its customers. In 2017, your company has further strengthened its relationship with AWS by achieving gargantuan Data Competency Status, Oracle Enterprise Applications Competency Status, DevOps Competency Status and Managed Service Provider Status.

    Atlassian: As an Atlassian Solution Partner, your company will be consulting, implementing and delivering solutions to customers, enabling them to unleash their teams potential. By leveraging products relish by JIRA Software, JIRA Service Desk, JIRA Core, Status Page, Confluence, Trello and HipChat, customers are able to quickly collaborate on various issues and sustain better project transparency.

    Apica: Apica is a leading provider of monitoring and load testing software. Your companys partnership with Apica will assist its customers to determine maximum capacity limits, monitor daily performance, establish performance benchmarks, reduce business risks and optimize infrastructure investments, resulting in lower bounce rates and higher revenues.

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    Focused on verticals: Your company has added a referenceable client in each of its verticals - Energy and Utilities, Life Sciences & Pharmaceuticals, Industrials, BFSI and Data Infrastructure.

    Certified Workforce: Your company is one of the few organizations in the world with 100 percent AWS certified Cloud Operations focus with the ability to provide 24/7 management of Public, Hybrid and Private cloud architectures.

    Certifications and Accreditations: Your company is appraised at the plane 5 of the CMMI Institutes Capability Maturity Model Integration (CMMI) v1.3 for its services. This indicates that CTE is operating on highly "Optimized" processes. There are only~30 companies appraised at this plane for services in India.Your company is furthermore certified withISO 9001:2008, ISO 27001:2005 which affirms that your company is highly committed to business solutions and processes it follows in serving its clients.

    Global Presence: In line with providing its global clients access to 24/7 progress cycle, your company reinforced its U.S. presence and expanded its offshore delivery centers in India.

    VISION 2020

    Your company is pleased to announce its Vision 2020. For their Vision 2020, your company will focus on the following: a. Organic Growth: Over the next three years, on an average, your company expects an annual revenue of $10M approximately from each of its four growth drivers i.e. Cambridge Bigdata, Cambridge Bizserve, Cambridge DataScience and Cambridge Innovations. b. Upside from equity: Your company believes it will seize 3-5 years to generate liquidity from its investments.

    c. Inorganic Growth: Your company has the potential to explore inorganic growth opportunities.

    Your company expects that the above three revenue streams will yield results in the next three years to hopefully achieve $50M revenues with focus on profitability.


    Your company gives organizations unparalleled access to cutting-edge technology by bringing together the best-in-industry using its years of expertise in building solutions for some of the worlds largest and most innovative enterprises. Your companys expertise across multiple domains makes it the preferred election for organizations seeking an AI ally to innovate and leapfrog the market.


    The potential threats and risks are usually aligned either to change in the external environment such as changes in the technology/customer preferences/business dynamics or finding the prerogative talent and retaining them. Your company is well positioned to minimize the potential identified threats and risks, and the way it does is circumstantial below:

    Changing Technological Trends

    With the touching pace of technology and the way these variables change with time, it becomes imperative for the service provider to maintain up with the pace and adopt the learning curve. They constantly endeavor to tarry ahead of the technology curve by building capabilities to meet the current and future needs of their customers.


    At CTE, whole employees undergo relevant set of trainings imperative to serve the existing and future business needs. This helps greatly minimize the risk of change of technology.

    Attracting and Retaining Talent

    Finding the prerogative benign of talent and retaining them could pose a challenge for any business relish ours. The dynamic nature of technology, increasing claim from clients, etc., warrants the company to focus on finding the prerogative benign of talent and their retention for its being and delivering sustainable growth. Hiring the best of the breed talent forms the core credit at CTE.

    Exchange rate risk

    A substantial Part of the CTEs revenues accrues in US dollars, therefore inevitably exposed to fluctuations in exchange rates of exotic currency. Any major change in exotic currency exchange rates will fill an repercussion on the companys earnings.


    The IT Services industry is intensely competitive with local and MNC players having a sizable presence. Competitive pressure could adversely affect pricing strategy for services impacting growth and profitability. Over the years, CTE has developed deep domain scholarship and delivery capabilities with skilled workforce which has made the organization to remain competitive.



    Snapshot (In INR Lakhs)

    Revenue 10060.36 6582.49 53% Total Expenditure 7854.94 5439.60 EBIDTA 2205.42 1142.89 93% Tax Expense / (Tax Benefit) 376.17 (251.21) Net Profit 1688.30 905.69 86% Fixed Assets 860.96 1900.45 Reserves & Surplus 2569.02 1915.82 34%

    a. Revenue

    Revenue increased by 53% to INR 10060.36 Lakhs for the year ended 31st March, 2017 as compared to INR 6582.49 Lakhs for the same term ultimate year. b. Net Profit & Reserves and Surplus

    Net Profit increased by 86% to INR 1688.30 Lakhs for the year ended 31st March, 2017 as compared to INR 905.69 Lakhs for the same term ultimate year. As a result of augment in the consolidated profit, Reserves and Surplus fill increased from INR 1915.82 Lakhs in FY 2015-16 to INR 2569.02 Lakhs in FY 2016-17. Accumulated losses and unamortised goodwill as on March 31, 2016 fill been adjusted against equilibrium of Securities Premium Account. c. Fixed Assets

    Net fixed assets stood at INR 860.96 Lakhs as on 31st March, 2017 compared to INR 1900.45 Lakhs as on 31st March, 2016. d. EBIDTA

    The EBITDA increased by 93% at INR 2205.42 Lakhs for the year ended 31st March, 2017 as compared to INR 1142.89 Lakhs for the same term ultimate year. e. Expenditure

    Total Expenditure increased to INR 7854.94 Lakhs for the year ended 31st March, 2017 as compared to INR 5439.60 Lakhs for the same term ultimate year. Out of the above, Employee cost stood at INR 4186.42 Lakhs in FY 2016-17 as compared to INR 3407.25 Lakhs for the same term ultimate year.


    Snapshot (In INR Lakhs)

    Year 2016 – 17 2015 – 16 Growth Revenue 3865.55 2945.33 31% Total Expenditure 3396.21 2463.16 EBIDTA 469.34 482.17 -3% Tax Expense / (Tax Benefit) 269.86 (245.77) Net Profit 424.36 558.50 -24% Fixed Assets 118.86 836.19 Reserves & Surplus 756.43 1309.20 -42%

    Revenue increased by 31% to INR 3865.55 Lakhs for the year ended 31st March, 2017 as compared to INR 2945.33 Lakhs for the same term ultimate year. b. Net Profit & Reserves and Surplus

    Net Profit decreased by 24% to INR 424.36 Lakhs for the year ended 31st March, 2017 as compared to INR 558.50 Lakhs for the same term ultimate year. As a result of lessen in profits, and due to adjustment of accumulated losses and unamortised goodwill as on March 31, 2016 against equilibrium of Securities Premium Account, Reserves and Surplus fill decreased from INR 1309.20 Lakhs in FY 2015-16 to INR 756.43 Lakhs in FY 2016-17. c. Fixed Assets

    Net fixed assets stood at INR 118.86 Lakhs as on 31st March, 2017 compared to INR 836.19 Lakhs as on 31st March, 2016. d. EBIDTA

    The EBITDA decreased by 3% at INR 469.34 Lakhs for the year ended 31st March, 2017 as compared to INR 482.17 Lakhs for the same term ultimate year.

    e. Expenditure

    Total Expenditure increased to INR 3396.21 Lakhs for the year ended 31st March, 2017 as compared to INR 2463.16 Lakhs for the same term ultimate year. Out of the above, Employee cost stood at INR 2063.19 Lakhs in FY 2016-17 as compared to INR 1613.70 Lakhs for the same term ultimate year. The details of the fiscal performance of your company are appearing in the equilibrium Sheet, Profit & Loss Account and other fiscal statements forming Part of this Annual report.


    Your companys board and management team monitor and beget enhancements to your companys systems for internal control and risk management on an ongoing basis. Your companys efforts towards this travel beyond what is mandatorily required, with energetic monitoring and review to ensure adequacy of control systems and to identify potential risks as well as recommend or implement measures to mitigate them.

    Your Company has a proper and adequate system of internal control to ensure that whole assets are safeguarded and protected against loss from unauthorized consume or character and that the transactions are authorized, reported and recorded correctly. Your companys internal control system is adequate considering the nature, size and complexity of its business. Your companys internal control systems provide, among other things, reasonable assurance of recording the transactions of its operations in whole material respects and of providing protection against significant misuse or loss of company assets. These furthermore enable your company to adhere to procedures, guidelines, and regulations as applicable in a transparent manner.

    Your companys internal control systems are supplemented by an internal audit program and occasional reviews by the management. Your company has appointed an independent audit firm as its Internal Auditors and the Audit observations are periodically reviewed by the Audit Committee of the Board of Directors and necessary directions are issued, wherever required.The existing internal control systems and their adequacy fill been reviewed extensively during the year by internal auditors and statutory auditors. They fill expressed an persuasion that the internal control system is adequate and functioning effectively.


    Your company is committed to create an environment of learning and development, promote internal talent and build an appreciating culture. Your Company has created platforms for recognizing and motivating employees for the valid travail they effect in the organization. Sound human resource progress policies of your Company ensures that each employee grows as an individual and contributes to the performance of your Company. It furthermore works towards building a travail culture aimed at achieving higher performance orientation.

    Our employees are their most primary and valuable assets. whole your Companys policies are focused towards a healthy, fortunate and prosperous travail environment for its employees and thereby furthermore fulfill the aspirations of the people at work. Your Company along with its subsidiaries ended the year with a headcount of 317. The key elements that define their culture include professional working environment, training and development, and compensation.


    Certain statements in this report or elsewhere in the Annual Report may contain statements concerning Cambridge Technology Enterprises Limited and its growth prospects, expected fiscal position, business strategy, future progress of the companys operations, universal economy, industry structure and other developments that are individually and collectively forward-looking statements. Such forward-looking statements are not guarantees of actual results, future performance or achievements and are topic to known and unknown risks, uncertainties and assumptions that are difficult to predict. These risks and uncertainties include, but are not limited to, the performance of the Indian economy and of the economies of various international markets, the performance of the industry in India and world-wide, competition, changes in government policies or regulations of India, changes relating to the administration of the company, the companys ability to successfully implement its strategy, the Companys future levels of growth and expansion, technological implementation, changes and advancements, changes in revenue, income or cash flows, the Companys market preferences and its exposure to market risks, as well as other risks. The Companys actual results, levels of activity, performance or achievements could vary materially and adversely from results expressed in or implied by this report. The Company assumes no obligation to update any forward-looking information contained in this report.

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