A2180-270 exam Dumps Source : Assessment- IBM trade Process Manager Advanced V7.5, Integration Develop
Test Code : A2180-270
Test appellation : Assessment- IBM trade Process Manager Advanced V7.5, Integration Develop
Vendor appellation : IBM
: 56 existent Questions
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IBM unveiled original expertise to carve back energy outages through helping power businesses call where timber and other vegetation may menace verve traces. IBM labored with Oncor, the greatest utility trade in Texas and the fifth biggest within the u.s., to boost an respond tailored for the power and utility trade, to aid ameliorate operations and provide official electric powered carrier for tens of millions of consumers across the state.
The climate trade Vegetation management - call is constructed on IBM PAIRS Geoscope, a know-how developed via IBM analysis.The device rapidly strategies massive, complicated geospatial and time-primarily based datasets amassed by means of satellites, drones, aerial flights, tens of millions of IoT sensors and climate models.
The ensuing insights can advocate groups enjoy Oncor to panoply screen vegetation enlarge across their total provider territory, allowing them to improved identify and call skills infringement with energy traces. agencies can more proactively and accurately diagram for preventive renovation and quick response, focusing crews within the highest-priority areas and validating that necessary trimming become achieved as anticipated.
"electricity is an necessary fragment of their lives, and thousands and thousands of Texans depend upon Oncor every day. Vegetation poses a sober possibility to power strains and the surrounding areas, but monitoring it is a challenging and time-ingesting process," says Peter Stoltman, vegetation administration software manager, Oncor. "via working with IBM, we're in a position to employ analytics and AI to prioritize excessive-risk areas. This helps us conform renovation operations to ameliorate public security and repair reliability."
Vegetation is a number one occasions of carrier interruption for utility agencies. With usual methods, the basic perception into talents hazards involves costly on-web page inspections or realizing the final time a neighborhood become trimmed. With this original answer, tons of of miles of transmission and distribution lines could live consistently monitored to provide continuous perception about the state of boom and renovation. moreover assisting establish and call outage threats, geospatial-temporal insights can relieve with touchstone grid reliability and compliance, wildfire prevention, storm administration and assessment.
“Our utilities customers told us that getting targeted insight into the state of vegetation throughout their carrier territory turned into a key problem,” says Mahesh Sudhakaran, chief digital officer of IBM power, ambiance and Utilities. "by combining PAIRS with AI and trade capabilities, they can give customers one integrated solution, delivered via IBM Hybrid Cloud, to assist them call and control vegetation in a price-valuable and clever approach.”
“each enterprise is plagued by weather. but for power businesses and their valued clientele, it could possibly imply the dissimilarity between whether they can preserve the lights on and warmth their buildings,” says Cameron Clayton, IBM’s general supervisor of Watson Media and weather. “The potential to layer weather data with satellite and sensor records gives utility agencies potent original insights to aid them ameliorate operations and reduce repercussion on their valued clientele.”
PAIRS Geoscope ingests greater than 10 terabytes of latest data per day and has already served greater than 15 million requests from more than four,000 researchers, statistics scientists and developers in 80 countries. It removes the labor-intensive procedure of generating insights from geospatial-temporal information, which is touchstone for its sheer measurement and complexity. The want of capacity to access, query and resolve this classification of huge statistics in a scalable way is the intent it turned into long considered unsearchable data. IBM scientists invented a brand original approach to race and resolve advanced queries within minutes in its site of weeks or months, making up to now unattainable insights now a fact.
PAIRS Geoscope is frequently obtainable for distinctive industries and employ instances. in addition to Vegetation management - Predict, PAIRS is moreover the underlying technology for Watson decision Platform for Agriculture, a suite of agribusiness rig that makes employ of the energy of AI and geospatial facts to aid farmers compose more advised decisions about their vegetation.
For extra tips, view the net site.
Vegetation administration is customarily a pretty dry subject, but the PG&E saga has brought it entrance and middle in utility news. The utility lately warned a federal settle that actions he is for the understanding that taking would require it to regain rid of greater than a hundred million timber — an not viable project, the utility spoke of.
PG&E is soundless waiting for U.S. District referee William Alsup's altenative in its probation proceeding.
might IBM's geospatial respond advocate PG&E? The tech trade says it has worked with Oncor to foster a utility-particular solution capable of layering weather analysis with satellite tv for pc and sensor statistics, to aid energy groups conform their renovation operations and minimize client influences of overgrowth.
IBM stated the solution is built on its PAIRS Geoscope, which "without retard techniques massive, complicated geospatial and time-based mostly datasets accrued by way of satellites, drones, aerial flights, hundreds of thousands of IoT sensors and climate fashions."
whereas vegetation poses "a significant chance to energy strains," monitoring it's "a difficult and time ingesting manner. ... through working with IBM, we're capable of employ analytics and AI to prioritize high-chance areas," Peter Stoltman, vegetation management software supervisor for Oncor, illustrious in an announcement.
in keeping with IBM, vegetation is a number one understanding for service interruption for utility companies. The trade says that with its original answer, hundreds of miles of transmission and distribution traces can live constantly monitored to supply "continual perception about the state of boom and preservation."
"apart from assisting establish and call outage threats, geospatial-temporal insights can aid with usual grid reliability and compliance, wildfire prevention, storm administration and assessment," the trade noted.
LONDON (Reuters) - IBM (NYSE:) Corp. has developed know-how to call and computer screen when and the site timber and vegetation menace verve strains which could assist enrich power deliver operations and in the reduction of outages, it illustrious on Wednesday.
Vegetation can occasions disruption for power businesses, frequently growing to live over or obstructing verve transmission traces. energy suppliers always Take care of this by using conducting typical inspections and trimming.
IBM's system uses records accrued by satellites, drones, aerial flights, sensors and climate fashions to relieve groups panoply screen the state and protection of a entire bunch of miles of transmission and distribution lines.
in addition to opting for and predicting outage threats, the device can additionally advocate with grid reliability, wildfire prevention, storm administration and evaluation, the trade spoke of.
"each enterprise is suffering from weather. but for energy organizations and their purchasers, it may possibly imply the change between even if they can maintain the lights on and heat their buildings," pointed out Cameron Clayton, IBM's ordinary supervisor of Watson Media and climate.
"The means to layer weather statistics with satellite tv for pc and sensor information gives utility agencies effective original insights to assist them enrich operations and reduce beget an repercussion on on their shoppers," he brought.Disclaimer: Fusion Media would enjoy to remind you that the facts contained during this site isn't necessarily real-time nor correct. perfect CFDs (shares, indexes, futures) and forex expenditures aren't provided through exchanges but significantly via market makers, and so expenses may moreover now not live redress and may achieve from the genuine market cost, that means expenses are indicative and not applicable for trading purposes. for this understanding Fusion Media doesn`t endure any accountability for any trading losses you may incur because of the usage of this information.
Fusion Media or any person worried with Fusion Media will no longer accept any liability for loss or Hurt as a result of reliance on the information including records, rates, charts and purchase/sell signals contained within this web site. tickle live thoroughly recommended involving the hazards and charges linked to trading the fiscal markets, it is one of the riskiest funding kinds possible.
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Sep 1, 2011
In their September 2003 issue, they introduced the first list of trend-setting products. At the time, they thought sorting the products into specific categories-document management, trade process management, enterprise search, content management, portals, smart enterprise suites, etc.-was appropriate, and we'd relieve bring order to the landscape. But even then the lines were blurring, of course, so they abandoned that strategy in 2004. They are even more blurry now.
The juggernaut of consolidation keeps charging along, so what were single-point solutions a decade ago now involve a broad spectrum of capabilities. A Web content management system, for example, contains functionality for, say, collaboration, sociable media, analytics, records management, etc. Enterprise search is a utensil for text mining, sentiment analysis, legal discovery, stout data and more. So, as they continue to emphasize, lore management isn't an application per se, it's an attitude, an approach to delivering the right information to the right people throughout the entire constituency chain, users and customers alike.
For this year's list, the judging panel of colleagues, analysts, system integrators and users evaluated more than 800 products. Although the products on the list cover a host of technology areas, they participate one thing in common: Each has helped create, define, enhance or sustain a market.
As in years past, assembling the list involves a yearlong collaborative endeavor that culminates with a chain of conference calls to finalize the list that follows. It's a stout job and a certainly lively and sometime contentious process. perfect of us beget their prejudices based on specific areas of interest/expertise, and because the panel requests anonymity to avoid the onslaught of e-mail, I compose the final decision. trust me, people beget tried to bully their way on the list, which isn't a genuine strategy. Receiving unsolicited recommendations from customers is, however. After all, it's the needs of the market that should identify a trend. Further descriptions of selected Trend-Setting Products start on Page 18, September KMWorld 2011, Vol 20, Issue #8 and are moreover linked online within the company description:
A2iA: A2iA DocumentReader-classification, keyword spotting and extraction of information from handwritten letters and loosely structured fields within forms.
ABBYY: FineReader Online-an online OCR service to provide conversion of text from scanned, photographed images and PDFs into editable Word, Excel, RTF, TXT and searchable PDF documents. Click here for more product details.
AccessData Group: AccessData eDiscovery-automated, repeatable and defensible electronic data discovery from litigation hold to production. Click here for more product details.
Accusoft Pegasus: Prizm Viewer-document and image viewing within Internet Explorer, Firefox and Mozilla browsers.
Acquia: Acquia Network-software and services to create and maintain Web experiences built on Drupal. Click here for more product details.
Alfresco: Alfresco Team-content collaboration product that includes iOS apps for the iPad and iPhone.
Altep: Inspicio-document review platform capable of providing access to any document type.
Alterian: Content Manager-software designed to build and manage branding strategies across websites, e-mail campaigns and sociable media channels.
AnyDoc Software: CAPTUREit-standalone document capture application or component of an end-to-end OCR for AnyDoc automated document and data capture and processing solution. Click here for more product details.
Appian: BPM Suite-comprehensive trade process management software on the desktop and mobile devices in the cloud and on premise.
Applied lore Group: KM Solutions built on SharePoint-collaboration and lore management solutionsfor government, commercial and non-profit clients
ArcMail: ArcMail Guardian-cloud-based e-mail archiving solution that automatically encodes, indexes and archives perfect inbound, outbound and internal mail.
ASG Software: ViewDirect Suite-scalable, full-featured archiving platform.
Attensity: Respond 5.1-multichannel customer tryst application.
Attivio: active Intelligence Engine-extends enterprise search capabilities across documents, data and media.
Autonomy: ControlPoint-centralized policy hub for enforcing compliance policies on distributed content, including content residing in ECM applications.
AvePoint: DocAve Software for SharePoint-fully integrated solution for SharePoint life cycle management.
BA Insight: Longitude Search and Longitude Connectors products-securely extend Microsoft SharePoint and quick Search to more than 30 enterprise systems.
Box.net: Cloud Content Management-allows sharing, managing and accessing perfect trade content in the cloud.
BP Logix: Process Director-defines, automates and reports on trade processes.
Brainware: Globalbrain Enterprise Edition-intelligent data capture and enterprise search.
Bridgeline Digital: iAPPS Product Suite-complete SaaS and on-premise Web content management including e-commerce, e-marketing and analytics. Click here for more product details.
Clarabridge: Sentiment and Text Analytics Platform-data acquisition through linguistic processing and enterprise reporting in an integrated environment. Click here for more product details.
Concept Searching: conceptClassifier for SharePoint-automatic document classification and enterprise class taxonomy management. Click here for more product details.
Connotate: Agent Community-content acquisition and management software platform enabling users to transform Web content into information assets.
Consona: Consona KM 8.0- a redress lore management solution with enhanced usability for administrators and lore authors and editors with tools for the internationalization of lore content.
Content Analyst: Content Analyst Analytical Technology (CAAT)-advanced text analytics in a scalable platform designed to cope with massive amounts of unstructured data. Click here for more product details.
Coveo: Coveo lore 360 Solutions for Customer Service-enables access to actionable lore from organizations' information.
Darwin Ecosystem: Awareness Engine-tracks Web and Enterprise 2.0 events, discovers emerging trends and gains faster understanding of complicated issues over time.
Datameer: Analytics Solution-business user-focused BI platform for stout data analytics using Apache Hadoop.
Denodo: Data Virtualization and Data Federation-creates virtual, real-time solitary views from disparate, heterogeneous data sources.
eGain: Interactive Sales Suite-converts online visitors to buyers with proactive contextual offers across consumer lifecycle . Click here for more product details.
Ektron: CMS400.NET-a platform with complete functionality to create, deploy and manage full-featured, global Web sites.
EMC: SourceOne Suite-family of products and solutions for archiving, e-discovery and compliance to centrally manage multiple content types in order to apply content governance.
Endeca: Endeca Latitude- foundation upon which configurable, search-based trade applications can live built and deployed.
EPiServer: CMS 6-combines tools for online tryst through content, community, communication and commerce.
Equilibrium: MediaRich ECM for SharePoint 2010 Online-visualizes more than 400 different document, image video and audio file types in SharePoint Team Portal.
Exalead: CloudView 360- information access for the enterprise and the Web with advanced data extraction, indexing and text analytics.
Exsys: Corvid-interactive Web-enabled lore automation expert systems. Click here for more product details.
Exterro: Fusion-integrated e-discovery, legal hold and litigation management software platform.
Fabasoft: Fabasoft Mindbreeze Enterprise-unified organizationwide access to information through indexing and searching data sources such as e-mail systems, file systems, databases, document management systems, intranet and the Internet. Click here for more product details.
Findwise: Findwise Findability Solutions-software for intranets, Web, e-commerce and applications to relieve compose information easily accessible to both company employees and their customers. Click here for more product details.
FTI Technology: Acuity-outsourced document review offering for corporations and law firms. Click here for more product details.
Global 360 (now OpenText): processView-cloud-based forum to collaborate on process discovery.
GlobalNet Services Inc.: Google Search Solutions-search optimization, clustering, security and personalization for structured and unstructured data. Click here for more product details.
HiSoftware: Compliance Sheriff-content compliance testing, monitoring and reporting against standards-based policies for privacy, accessibility, sociable computing, brand integrity, site quality and operational security.
HP: HP TRIM 7-a records management system with SharePoint advocate providing a scalable, policy-driven foundation for information governance strategies.
IBM: Content Manager-imaging, digital asset management, Web content management and content integration for multiple platforms, databases and applications.
iDatix: iSynergy-integrated content management designed to manage content and simplify workflow.
IGLOO Software: Enterprise sociable Networking-integrated suite of content, collaboration and lore management tools within a single, secure sociable trade platform.
InQuira: Customer experience Services-expert resources focused on optimizing and enhancing an InQuira implementation through proactive, strategic trade insights and technical expertise to maximize system uptime.
Integrify: Integrify 5.0-lean trade process management with available SharePoint API kit and plug-in.
IntelliResponse: IntelliResponse respond Suite-enhances consumer experience across a variety of interaction channels, including corporate Web sites, agent desktops, sociable media platforms and mobile devices.
Intrafind: iFinder Enterprise Search-solutions and consultancy services for enterprise search, information access and text mining.
ISYS Search Software: ISYS Document Filters-an embeddable set of document filters for extracting text from a comprehensive library of file, container and e-mail formats. Click here for more product details.
Jive Software: Engage Platform-robust enterprise sociable networking platform.
JustSystems: XMetaL-enables content creators to create, collaborate and reuse information that can live repurposed into languages and formats required by customers.
Kofax: Kofax Capture 9.0-full-featured platform allowing users to automate the deployment and updating of the software, their applications and any customizations from a central server.
Metalogix: Content Lifecycle Management for SharePoint-on-premise or cloud-based solution to move, store and manage Microsoft content. Click here for more product details.
Metastorm (now OpenText): Enterprise-aligns trade strategy with execution while optimizing the types and levels of trade resources it uses.
MicroLink: Information Fusion and Discovery-collaboration and search designed to advocate growing information and the requisite for increased data availability.
Microsoft: SharePoint 2010-the versatile platform that continues to spawn an ecosystem of partners extending its capabilities.
Moxie Software: Spaces-social networking software for the enterprise.
Mzinga: OmniSocial-a broad, single-platform suite designed to facilitate community building, collaboration and lore sharing across the organization. Click here for more product details.
NavigationArts: Content Management Solutions-software engineered to deliver intuitive online experiences consistent with brand expectations and offline interaction.
NewsGator: sociable Sites 2.0-enterprise collaboration software designed for facile integration with SharePoint 2010.
Noetix: NoetixViews-simplifies report development against Oracle enterprise applications by automatically creating trade views of the underlying database. Click here for more product details.
Nunwood: Fizz lore Management-allows organizations to optimize their existing lore work across research studies, competitor intelligence, external news subscriptions and internal working groups.
Omtool: AccuRoute-document handling platform that captures, converts and distributes paper and electronic documents.
OpenText: ECM Suite-robust platform addressing perfect management capabilities needed to handle each nature of enterprise content-including trade documents, records, Web content, digital, e-mail, forms, reports, etc.
Oracle: Enterprise Manager 11g-integrated IT management designed to enlarge trade productivity and efficiency.
Pegasystems: Case Management Solutions-allow organizations to quickly define case solutions and manage their work.
Percussion: CM1-allows trade users to directly create, launch and maintain robust websites.
Project Performance Corp.: KM Solutions-consulting and IT solutions with an accent in the areas of environment and energy.
Qontext: Qontext for NetSuite-a complete collaboration portal within NetSuite.
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CARMEL, Ind., June 26, 2018 (GLOBE NEWSWIRE) -- Determine, Inc. (NASDAQ:DTRM), a pioneering leader in global Source-to-Pay and Enterprise contract Lifecycle Management (ECLM) Cloud Platform solutions, announces pecuniary results for its fourth quarter and fiscal year ended March 31, 2018.
FY2018 GAAP pecuniary Highlights:(in thousands, except per participate amounts) GAAP pecuniary Measures Q4 Q3 Q4 Change Change Twelve Months FY 2018 FY 2018 FY 2017 Q/Q Y/Y FY 2018 FY 2017 Change Y/Y Revenue - total $ 6,776 $ 7,467 $ 7,535 (9.3 %) (10.1 %) $ 28,119 $ 27,463 2.4 % Revenue - recurring $ 5,467 $ 5,552 $ 5,628 (1.5 %) (2.9 %) $ 21,864 $ 20,895 4.6 % Revenue - non-recurring $ 1,309 $ 1,915 $ 1,907 (31.6 %) (31.4 %) $ 6,255 $ 6,568 (4.8 %) Gross profit - total $ 3,344 $ 4,160 $ 3,973 (19.6 %) (15.8 %) $ 14,621 $ 13,838 5.7 % Gross profit - recurring $ 3,378 $ 3,649 $ 3,696 (7.4 %) (8.6 %) $ 13,912 $ 13,878 0.2 % Gross profit (loss) - non-recurring $ (34 ) $ 511 $ 277 (106.7 %) (112.3 %) $ 709 $ (40 ) 1872.5 % Gross margin - total 49.4 % 55.7 % 52.7 % (6.3 pts ) (3.3 pts ) 52.0 % 50.4 % 1.6 pts Gross margin - recurring 61.8 % 65.7 % 65.7 % (3.9 pts ) (3.9 pts ) 63.6 % 66.4 % (2.8 pts ) Gross margin - non recurring (2.6 %) 26.7 % 14.5 % (29.3 pts ) (17.1 pts ) 11.3 % (0.6 %) 11.9 pts Net loss $ (2,822 ) $ (2,346 ) $ (1,708 ) 20.3 % 65.2 % $ (9,948 ) $ (9,452 ) 5.2 % EPS $ (0.19 ) $ (0.16 ) $ (0.14 ) $ (0.03 ) $ (0.05 ) $ (0.69 ) $ (0.81 ) $ 0.12
FY2018 Non-GAAP pecuniary Highlights:(in thousands, except per participate amounts) Non-GAAP pecuniary Measures Q4 Q3 Q4 Change Change Twelve Months FY 2018 FY 2018 FY 2017 Q/Q Y/Y FY 2018 FY 2017 Change Y/Y Revenue - total $ 6,776 $ 7,467 $ 7,535 (9.3 %) (10.1 %) $ 28,119 $ 27,471 2.4 % Revenue - recurring $ 5,467 $ 5,552 $ 5,628 (1.5 %) (2.9 %) $ 21,864 $ 20,903 4.6 % Revenue - non-recurring $ 1,309 $ 1,915 $ 1,907 (31.6 %) (31.4 %) $ 6,255 $ 6,568 (4.8 %) Gross profit - total $ 3,626 $ 4,484 $ 4,297 (19.1 %) (15.6 %) $ 15,897 $ 15,192 4.6 % Gross profit - recurring $ 3,646 $ 3,916 $ 3,967 (6.9 %) (8.1 %) $ 15,051 $ 15,004 0.3 % Gross profit ( loss) - non-recurring $ (21 ) $ 568 $ 330 (103.6 %) (106.2 %) $ 846 $ 188 350.0 % Gross margin - total 53.5 % 60.1 % 57.0 % (6.6 pts ) (3.5 pts) 56.5 % 55.3 % 1.2 pts Gross margin - recurring 66.7 % 70.5 % 70.5 % (3.8 pts ) (3.8 pts) 68.8 % 71.8 % (3.0 pts ) Gross margin - non recurring (1.5 %) 29.7 % 17.3 % (31.2 pts ) (18.8 pts) 13.5 % 2.9 % 10.6 pts Net loss $ (1,726 ) $ (1,303 ) $ (428 ) 32.5 % 303.3 % $ (5,487 ) $ (4,681 ) 17.2 % EPS $ (0.12 ) $ (0.09 ) $ (0.04 ) $ (0.03 ) $ (0.08 ) $ (0.38 ) $ (0.40 ) $ 0.02 Billings $ 5,991 $ 8,856 $ 7,582 (32.4 %) (21.0 %) $ 27,610 $ 27,177 1.6 %
“I would sum up fiscal 2018 under the theme of ‘Doubling Down.’ They beget done this in perfect areas of the company this past year, from their continued investment in and expansion of the capabilities on the Determine Cloud Platform, to key appointments of seasoned, industry experts on the leadership team and board, and to an even deeper focus on customer success and advocacy. These efforts are illustrated by their many advancements including the launch of their HIPAA compliance program which demonstrates their ongoing commitment to their valued – and growing - healthcare customers. They further expanded advanced capabilities across the entire modular Source-to-Pay and contract Management continuum, often in collaboration with customer users. During Fiscal 2018, they seized the opening to bolster key positions within their Sales & Marketing, Partnership Management and Customer Success groups with veteran industry-recognized talent. These subject matter experts are faultfinding to supporting their efforts to achieve their pipeline and customer success goals. Concurrently, we’ve formalized a company-wide program with the goal of improving overall satisfaction and converting customers into advocates. These efforts are resulting in significant customer-directed product innovation as well as creating additional sales and upsell opportunities. As I illustrious previously, their goal is to exceed expectations at every stage – especially those of their customers. They are redoubling their efforts as they accelerate confidently down that path.”— Patrick Stakenas, President, CEO and Director, Determine, Inc.
FY2018 Determine trade Highlights:
Conference call and Webcast Tuesday, June 26, 2018 at 5:00 PM (Eastern Time)Participant Conference call Numbers: Toll-Free: 1-877-407-0789 Toll/International: 1-201-689-8562 Participant Webcast Link: http://public.viavid.com/index.php?id=130010 Replay Dial-in Information: Toll-Free: 1-844-512-2921 Toll/International: 1-412-317-6671 From: 06/26/18 at 8:00 pm Eastern Time To: 07/03/18 at 11:59 pm Eastern Time Replay Pin Number: 13680590
Non-GAAP pecuniary Measures
To supplement their pecuniary results presented in accordance with Generally Accepted Accounting Principles (GAAP), this press release and the accompanying tables hold certain non-GAAP pecuniary measures, including non-GAAP revenue, non-GAAP vulgar profit, non-GAAP net income and non-GAAP earnings per share, which they believe are helpful in understanding their past pecuniary performance and future results. For reconciliations of these non-GAAP pecuniary measures to the most directly comparable GAAP pecuniary measures, tickle note the section of the accompanying tables titled, “GAAP to Non-GAAP Reconciliations”. Their non-GAAP pecuniary measures are not meant to live considered in isolation or as a substitute for comparable GAAP measures and should live read in conjunction with their consolidated pecuniary statements prepared in accordance with GAAP.
The dissimilarity between GAAP and non-GAAP revenue is due to the repercussion of revaluing the deferred revenue balances acquired from primarily b-pack as required by GAAP purchase accounting.
The dissimilarity between GAAP and non-GAAP vulgar profit is the dissimilarity in GAAP versus non-GAAP revenues as well as the elimination of the amortization of acquisition related intangibles, stock based compensation and severance expense from the costs of revenue. Non-GAAP net loss excludes the non-GAAP vulgar profit items as well as acquisition related costs.
Our management regularly uses their supplemental non-GAAP pecuniary measures internally to understand and manage their trade and forecast future periods; as such, they believe it is useful for investors to understand the effects of these items on their total operations. Further, tickle note that their non-GAAP revenue is intended to reflect the complete amount of revenues that would beget been otherwise recorded by the acquired entities of Iasta and b-pack, while their non-GAAP vulgar profit moreover excludes the amortization of intangibles that occurred due to the acquisition of the entities of Iasta and b-pack.
Annualized Bookings are an operating measure not derived from the company’s revenues or any other amounts presented in accordance with GAAP in the company’s statement of income, poise sheet or statement of cash flows or other equivalent statements.
Certain statements in this release and elsewhere by Determine are forward-looking statements within the meaning of the federal securities laws and the Private Securities Litigation Reform Act of 1995. Such statements may include, without limitation, statements regarding trade outlook, assessment of market conditions, anticipated pecuniary and operating results, strategies, product and channel development, future plans, contingencies and contemplated transactions of the company. Such forward-looking statements are not guarantees of future performance and are subject to known and unknown risks, uncertainties and other factors which may occasions or contribute to actual results of company operations, or the performance or achievements of the company or industry results, to differ materially from those expressed, or implied by the forward-looking statements. In addition to any such risks, uncertainties and other factors discussed elsewhere herein, risks, uncertainties and other factors that could occasions or contribute to actual results differing materially from those expressed or implied for the forward-looking statements include, but are not limited to fluctuations in require for Determine’s products and services, risks of losing key personnel or customers, protection of the company’s intellectual property and government policies and regulations, including, but not limited to those affecting the company’s industry. Determine undertakes no duty to publicly update any forward-looking statements, whether as a result of original information, future events or otherwise. Additional risk factors concerning the company can live found in the company’s most recent shape 10-K as filed by the company with the Securities and Exchange Commission.
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About Determine, Inc.
Determine, Inc. (NASDAQ:DTRM) is a leading global provider of SaaS Source-to-Pay and Enterprise contract Lifecycle Management (ECLM) solutions. The Determine Cloud Platform provides procurement, legal and finance professionals analytics of their supplier, contract and pecuniary performance. Their technologies empower customers to drive original revenue, identify savings, ameliorate compliance and mitigate risk.
The Determine Cloud Platform seamlessly integrates with major ERP or third-party systems such as SAP, Oracle, Sage, QAD and Microsoft. Modular solutions can live configured to add more as needed to provide additional value beyond disburse management. Their unified master database and trade process approach empower users at every flush to compose more informed and smarter decisions.
For more information, tickle visit: www.determine.com.
Mike MitchellDetermine Inc.+email@example.com
Threat intelligence is a well-liked topic in security circles these days. Many organizations are now using a threat feed that comes bundled with some other security product, such as McAfee’s GTI or IBM’s X-Force feeds. Lots of products, notably SIEMs, beget added advocate for some sort of integration with specific threat intelligence feeds or more generic imports via STIX/TAXII. With many now hoping to Take odds of the big number of open source and free intelligence feeds available. Some are even investing in commercial intelligence feeds.
However, as many organizations quickly discover, without effective management of the threat intelligence lifecycle, making effective employ of this valuable information is nearly impossible. Today, an organization has two choices for managing threat intelligence, these are to deploy a threat intelligence management platform, or a manual in-house management program. The steps required to set up a manual threat intelligence lifecycle program will live outlined below for those who prefer this approach.
Effective threat intelligence management consists of six main functions or processes:
Each of these requires consideration of multiple challenges and requires particular skill sets live present or contracted. right now, they will notice at threat intelligence source selection and threat intelligence capture.
Source selection is actually not the first step in setting up a manual threat intelligence program. Before any threat intelligence can live made useful, you must first beget something against which to compare it. This will usually live a log management system or SIEM technology, collecting logs or other key information from security devices in your environment.
Without this faultfinding foundation, there is no way to correlate what is happening in your environment against the intelligence you are collecting, and therefore no way to know when you are communicating with any of the malicious indicators you beget identified. elect carefully, as the limitations of the chosen solution may reduce your options when it comes time to integrate your threat intelligence.
Assuming you beget an adequate solution in place, you are ready to select the intelligence sources from which you wish to collect. You can elect from free/open source feeds or you may purchase a feed from one of the several dozen vendors in the market today. There are well over a hundred free or open source intelligence feeds available.
Many of these feeds regain their indicators from the selfsame sources and report on the selfsame indicators, creating big areas of overlap and duplication of data. This is an necessary consideration, as too much overlap can negatively repercussion the later stages of the threat intelligence management process. There are dozens of paid feeds available as well. Each has their own areas of focus, and costs vary widely. Although the quality of paid feeds is high, the cost of subscribing to multiple feeds can add up quickly.
Careful attention should live paid to contract negotiations with feed vendors so that you are absolutely clear about which of their feeds you will beget access to and which you will not. Another necessary consideration should live the methods supported for ingesting those feeds. A flexible API (Application Program Interface) would live an odds in this instance, since you will live integrating each of these sources in-house.
Capturing Threat Intelligence
Once you beget settled on the sources you wish to collect, a manner of collection must live established. If you beget lots of sources identified, you are likely to live forced to advocate several different methods of collection. In some cases, delivery will live automated, such as TAXII over email, or received by email, but in a format that must live converted such as a CSV, PDF, XML, or even free text. Some websites will publish threat intelligence in HTML or XML formats, from which users may either capture it manually or script an automated manner to scrape the site at a predetermined interval. STIX and TAXII are widely supported standards for formatting and delivery, but advocate is by no means universal. An API may live available for some feeds. This is certainly the case for most commercial feeds, but it may or may not live the case with open source or free intelligence feeds.
The APIs themselves will generally require reviewing reference documentation to understand how to access them, how to request and/or retrieve data, as well as limitations on employ such as rate limits. Leveraging APIs to ingest feeds can live fairly straightforward but does require scripting or some other mechanism to actually drag the data and Do something with it. Additional care and feeding may live required over time as APIs Do change as features are deprecated or added, and tweaks are made for improved efficiency. Major overhauls of APIs are not unheard of and may shatter a lot of automation if previous APIs are deprecated. Monitoring API sources for updates is an necessary fragment of keeping feed collection running smoothly.
You should automate as much of the threat intelligence collection process as possible. This can live done mostly via scripting but may require some additional efforts around collecting via email or web scraping. Putting in this endeavor pays off over time as manual collection consumes time few teams beget to spare. It moreover frequently takes analysts away from their primary duties while they focus on the mechanics of manual collection. Source selection itself may respite up being limited due to the inability to regularly capture the available data without it being manually collected.
Once captured, threat intelligence data must live processed. Processing includes several steps:
If you beget chosen more than a very few feeds, you will likely encounter a variety of formats. If you’re lucky, it will live something structured specifically for intelligence, enjoy STIX, OPENIOC or CYBOX. Others will employ XML or JSON, which are moreover structured, but not specifically created for threat intelligence information. The rest will arrive as unstructured text in a variety of file formats. You could receive intelligence via CSV, text, PDF, Word document, or any other format. You will requisite the necessary expertise to normalize the disparate feeds by parsing the required data out of the feeds.
This could require a sophisticated understanding of RegEx and/or JSON/XML. expect to create a different parser for each of your unstructured sources of intelligence. You will moreover requisite to store the parsed information in a database for later use. To give you a sense of scale for this initial repository, recollect that, today, collecting a big number of feeds could result in as many as 10 million indicators per day or more. That number will only enlarge with time.
Plan accordingly. However, before storage, you should de-duplicate your collected indicators to reduce the overall processing load. It is necessary that care is paid in the preceding the normalization step, as incorrectly normalized events will not live identical, and therefore will not live de-duplicated, resulting in unnecessary load and copies in later stages of the process. These duplications could even lead to replica alerts and investigations.
One way to handle this would live to check the database for the existence of a particular piece of data before adding it as a original entry. If it is already there, adding a tag to the existing entry to note it was moreover found in another source is useful for context. Once you beget normalized, cleansed, and stored your chosen indicators, you must Do necessary maintenance on previously collected indicators. The understanding for this is that indicators change over time. Sometimes they change types, such as going from a scanning IP in March 2014 to a brute favor IP in May of 2015. You requisite to not only capture and reflect these changes over time, but moreover "expire" indicators after some period of time.
This can live an capricious time frame that is set globally, sigh 30, 60 or 90 days, or it can live set individually by indicator type. live conscious though, that failing to expire indicators promptly will result in increased groundless positives, as can expiring them too quickly. It is a poise that must live struck, monitored and adjusted as needed. Next, you will want to score and/or weight your intelligence in some fashion. Both give you the capacity to prioritize certain indicators or sources, to allow you to focus your attention on those first, among the millions of indicators consumed each day. Do you trust one feed more than another? Give it a higher weight. employ that weight in your evaluation rules to prefer information from this source.
Do you account one nature of indicator more threatening than another? Most do, but you will requisite to define them yourself, settle how you will classify them, and then incorporate these values and weights into your evaluation of what to present to your analysts. The scoring and weighting are the first enrichments you will execute on your intelligence data. Since you want to maximise the number of events/incidents, etc. your analysts can triage each day, you may elect to enrich your indicators for context. In addition to scoring and weighting, enrichment can sordid many things. For example, information such as GeoIP, WHOIS requests, or reports from sites enjoy VirusTotal or SHODAN. Basically, anything that will relieve your analysts to compose a decision in the shortest amount of time should live considered at this step.
Enrichment challenges involve viable costs for commercial enrichment sources, coding or scripting necessary to integrate with your indicator database and maintenance of those mechanisms that enable the integration. Each original source of context brought in increases the size of an indicator, so planning should involve such increased storage requirements. Advanced enrichments might involve associations with actors, campaigns or incidents and tracking of actor aliases. These further enable analysts to collect perfect material information on indicators into one place, requiring less manual research and timelier decision-making
Actioning Threat Intelligence
Although a database of indicators and contextual information is useful, it is not enough. Once a storehouse of normalized, vetted, enriched information has been created, organizations must devise a means to employ this information in some way. In order to confer real-time, let solitary proactively benefit, the collected intelligence may live provided to some other security technology already in place. Most often, this is the SIEM or log management solution, but can involve other technologies as well.
For example, firewalls that advocate it could live given a list of IPs, domains or URLs that will live automatically blocked. Similarly, web proxies could live given web or domain information to Do the selfsame for user web traffic. IDS/IPS is another viable integration point, and some might opt to deliver MD5 or SHA hashes to endpoint protection solutions to enhance the lists of malware for which they monitor. After identifying the technology or technologies you wish to integrate, the normalized intelligence data must live extracted and forwarded to that destination. In order to Do this, you will requisite to determine which fields are useful to each technology, create queries to retrieve that information, reformat it into something that it will understand, and then create a mechanism to forward that to the device/s involved. For example, if you are using ArcSight, you will requisite to ship it in the CEF format.
For each additional integration, you will requisite to iterate this process with another forwarder, each of which requisite to live maintained over time. Once the information has arrived at its destination, you must create "content" that will Take odds of the information. In the case of firewalls, it could live as simple as creating a obstruct list and writing a rule to reference it. In the case of SIEMs, it might involve custom parsers, lists, rules, alerts, dashboards and reports. Each integration will require its own content live created. Just as with every other component in the process, this must moreover live maintained and updated over time. The final assignment in this stage is to automate the indicator import and expiration process. Indicator import is obvious, but expiration is equally necessary to avoid overloading the integrated technologies with lists that grow ever larger over time. Without automation, you will beget to establish and manage a manual import and expiration process.
Everything they beget discussed to this point is meant to deliver the right information to your analysts. The intelligence soundless has to live analyzed. An analyst workflow process must live created including incident escalation and response processes.
This workflow must provide a repeatable process to analyse the output of the integrations you beget created in the previous steps. For example, if the SIEM determines that a server is communicating with a known botnet command and control domain, your analyst must live notified in some mode (on screen prompt, email, SMS, IM, etc.). The analyst must then evaluate the collected information and settle if this is, in fact, happening, and then Take confiscate action based on that decision. If the analyst determines that the notification is not correct, they should document their findings for future reference and accelerate on to the next analysis. If the analyst verifies that the notification is correct, they should start a formal set of incident response steps.
In addition to providing analysts a workflow, you must moreover provide them with the tools they requisite to collect information on incidents they analyse. This is where enrichment of the sort discussed in the processing step can live useful. Analysts employ sites enjoy SHODAN, Web of Trust, VirusTotal and more to collect additional information about indicators they see. If these sources of information can live integrated into your threat intelligence management platform, you can remove the requisite to depart search it out manually and save precious time when making an escalation decision.
One final utensil you may wish to provide to analysts is the capacity to Do indicator expansion in their research. This refers to looking at indicators that are in some way related to the indicators seen in the local environment, and doing a secondary search to note if any of those indicators beget moreover been present. Many organizations struggle with this due to short retention periods of gathered log data. An analyst can only depart as far back as the data he has to work with.
If a threat has been found inside the network, the next steps are to find additional details about it to determine, as best as possible, where the infection came from, how it happened, and when it happened. Traditional incident response practice kicks in here to ensure the threat is isolated and remediation steps are handled accordingly.
Threat Intelligence Maintenance
So far in this chain they beget covered everything from defining the sources of external intelligence to collection, processing, and analyzing threat intelligence. Now, once an analyst has made a decision, the output of that decision must live captured and stored, preferably within the system. Both, a "threat" and "non threat" requisite to live documented appropriately. If it was determined to live a threat, additional output could live to involve notes, reports, recommendations or other documentation. It can moreover involve additional information gathered about the indicators themselves.
All this should live easily available for future reference. Indicators must live maintained over time as well. Some methods of incorporating original information about existing indicators while retaining the previous information is required. Although today, an IP may live actively engaged in brutal favor attacks, then next week it might regain cleaned up and re-imaged. That selfsame IP might live clean for two years before getting compromised again and being do into service as a botnet command and control IP. Analysts requisite to live able to note these changes over time in order to avoid confusion in analysis.
Additionally, if integration content, such as SIEM alert rules, is based on categories or other elements that change over time, automated monitoring may fail to detect original threats and may identify threats incorrectly.
Threat intelligence can present concrete benefits to organizations, making security analysts more efficient and effective, but only if that intelligence has been managed correctly. Poorly managed threat intelligence can lead to incorrect decisions that may beget lasting consequences for the trade or organization. I beget attempted to lay out the steps necessary to create a manual threat intelligence management process.
As you can see, it is a complicated undertaking, which may require a lot of resources. Some organizations beget the necessary skill in-house to develop such a program. Many Do not. Given the flush of endeavor required around developing and maintaining a manual threat intelligence program, even those capable of pile their own may opt for a commercial threat intelligence management platform.
There are a lot of pitiable parts and perfect require a flush of diligence to live done appropriately. It is necessary that you Do an honest assessment of your own organization before starting a project to develop a manual threat intelligence management program.
Chris Black, senior sales engineer, Anomali.
Published under license from ITProPortal.com, a Future plc Publication. perfect rights reserved.
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Trainers [3 Certification Exam(s) ]
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Wonderlic [2 Certification Exam(s) ]
Worldatwork [2 Certification Exam(s) ]
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