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COG-706 exam Dumps Source : IBM Cognos pecuniary Statement Reporting Developer

Test Code : COG-706
Test cognomen : IBM Cognos pecuniary Statement Reporting Developer
Vendor cognomen : IBM
: 60 real Questions

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IBM IBM Cognos pecuniary Statement

Certent acquires IBM finance and management items | killexams.com real Questions and Pass4sure dumps

No outcomes found, try original key phrase!bought items: IBM Cognos Disclosure management, Cognos Disclosure management on Cloud, Cognos pecuniary map Reporting, and readability 7, a corporate administration product.

Datawatch Monarch for IBM Watson Analytics and IBM Cognos Analytics Now available | killexams.com real Questions and Pass4sure dumps

established company clients now empowered with self-provider records education capabilities that pressure extra informed, strategic enterprise decisions

BEDFORD, Mass., can likewise 10, 2016 (GLOBE NEWSWIRE) -- Datawatch enterprise (NASDAQ-CM: DWCH) nowadays announced the immediate availability of Datawatch Monarch for IBM Watson Analytics and IBM Cognos Analytics. past this 12 months, Datawatch published that IBM (NYSE: IBM) would resell Datawatch Monarch to deliver stronger and sooner records access and self-service facts education (prep) to its clients. starting today, these users can leverage Monarch to prep less, dissect more and harness the power of IBM`s cognitive computing capabilities across the widest variety of statistics sources.

records that provides the most analytical cost has traditionally been locked away in prior to now inaccessible multi-structured and unstructured documents, comparable to text reviews, internet pages, PDFs, JSON and log data. And, in lots of situations, a company`s source records is distinct and rarely presents itself in an analysis-in a position format. consequently, hours are spent on sheperd records retrieval and prep procedures.

The Datawatch Monarch self-service records prep avow allows for facts analysts and generic industry users to impulsively entry, exploit and blend facts from just about any source. information can then exist prepared for evaluation in Watson Analytics and Cognos Analytics in a fraction of the time that it takes the exhaust of spreadsheets and other manually-intensive measures.

"nearly gross of strategic industry selections are made on incomplete or outdated counsel, due to data retrieval challenges and time-intensive manual prep procedures," stated Michael Morrison, president and CEO of Datawatch. "here is an luckless fact given the influence these decisions can fill on a company`s bottom line and enlarge competencies. Monarch allows for Watson Analytics and Cognos Analytics users to achieve no longer only the correct assistance, but the entire assistance, required to achieve a holistic view of the company, after which readily and swiftly prepare it for evaluation. rather than expend hours on mundane prep work, clients can now dedicate their time to performing analysis that hastens resolution making and drives enterprise value."

IBM VisionDan Potter, Datawatch`s chief advertising officer, is scheduled to present on new advances in self-carrier information prep at the upcoming IBM vision conference in Orlando, Florida. Potter will dispute how self-provider statistics prep allows for users, mainly those in economic and operational efficiency management, to leverage a much broader scope of information, and reap quicker and extra correct results. He`ll likewise parade how an optimized records file may likewise exist organized for direct import into Watson Analytics and Cognos Analytics. Potter`s session will steal location on Wednesday, may additionally eleven, at eleven a.m. ET.

To exist trained greater about Datawatch Monarch for Watson Analytics and Cognos Analytics, proceed to: http://www.datawatch.com/ibm-analytics.

About Datawatch CorporationDatawatch company (NASDAQ-CM: DWCH) allows for habitual clients to achieve impressive consequences with their facts. best Datawatch can unlock statistics from the widest diversity of sources and prepare it for exhaust in visualization and analytics equipment, or for different enterprise processes. When precise-time visibility into impulsively altering facts is crucial, Datawatch likewise enables users to investigate streaming facts, even within the most worrying environments, comparable to capital markets. businesses of gross sizes in more than one hundred nations worldwide exhaust Datawatch products, including 93 of the Fortune 100. The enterprise is headquartered in Bedford, Massachusetts, with workplaces in manhattan, London, Frankfurt, Stockholm, Singapore and Manila. To exist trained greater about Datawatch or down load a free version of its industry application, gladden dispute with: www.datawatch.com.

safe Harbor statement beneath the inner most Securities Litigation Reform Act of 1995Any statements contained during this press liberate that attain not report historic records can likewise constitute ahead-looking statements as that time period is defined in the deepest Securities Litigation Reform Act of 1995. any such statements contained herein, including but no longer confined to these concerning product performance and viability, are in response to existing expectations, but are discipline to a number of risks and uncertainties that can cause specific results to differ materially from expectations. The elements that might trigger precise future results to vary materially from latest expectations encompass the following: quick technological exchange; Datawatch`s dependence on the introduction of latest products and product enhancements and viable delays in those introductions; acceptance of recent products by using the market, competitors within the utility industry commonly, and within the markets for next generation analytics in particular; and Datawatch`s dependence on its major products, proprietary application technology and utility licensed from third parties. further assistance on elements that could cause exact results to differ from those predicted is exact in various publicly-available files, which consist of, however are not limited to, filings made via Datawatch every so often with the Securities and change commission, together with however now not constrained to, those appearing within the business`s Annual record on kind 10-okay for the 12 months ended September 30, 2015. Any ahead-searching statements may silent exist regarded in gentle of those factors.

Story continues

© 2016 Datawatch company. Datawatch and the Datawatch brand are emblems or registered emblems of Datawatch organization in the u.s. and/or different countries. gross other names are trademarks or registered emblems of their respective companies.

Media Contact:Amanda BeaupreMarketing Communications manager, Datawatch Corporationamanda_beaupre@datawatch.com 978-275-8387Twitter: @datawatch 

This announcement is allotted by NASDAQ OMX company options on behalf of NASDAQ OMX company options shoppers.

The provider of this announcement warrants that they are solely accountable for the content, accuracy and originality of the counsel contained therein.supply: Datawatch service provider via GlobeNewswireHUG#2011258


IBM makes decent on its Cognos buyout with 16 original items | killexams.com real Questions and Pass4sure dumps

final November, they puzzled what IBM expects to revert out of its acquisition of Canadian industry intelligence software provider Cognos. This morning they discovered, as massive Blue enters the "company optimization" company.

new york metropolis (BetaNews) -- At a press convention right here today, the lately combined IBM/Cognos firm keep forth a sparkling challenge to industry utility rivals SAP and Oracle, unveiling neatly over a dozen original products.

officially dubbed "company optimization" through IBM, the market being addressed represents a immense and transforming into possibility, observed Steve Mills, senior vice chairman and neighborhood executive for the IBM utility neighborhood.

"there's absolute self-confidence (now they fill been) looking to benefit participate towards SAP and Oracle," Mills told reporters nowadays.

however with the acquisition of Cognos finished, IBM is already forward in the industry optimization market, in keeping with the senior VP.

"the mixing between Cognos and IBM places us capable that different corporations are going to exist chasing," he said.

IBM plans to fulfill the needs of corporations of gross sizes through an "tips on Demand" (IoD) architecture a advantageous passage to latitude from core database management and content material administration techniques on the backside layer to client choice-making tools on the properly layer.

Six of the original options IBM introduced nowadays supply purchasers pre-integration between the Cognos company intelligence (BI) gadget and quite a lot of existing products from IBM, for applications involving wider exhaust and more advantageous analysis of company advice drawn from a number of sources.

different original products consist of really advantageous vertical solutions for markets that consist of banking, retail, fitness care, and lifestyles sciences.

IBM's original Retail reclaim Operations, as an instance, permits retail managers to order original supplies whereas on the same time projecting stock degrees of existing substances a brace of weeks ahead, notable Marc Andrews, IBM's director for IoD and Cognos advertising Integration, in a gathering with BetaNews at the press event.

IBM additionally announced a collection of IoD Infrastructure functions, to exist offered to customers via each the enterprise and technical palms of IBM global Consulting.

IT managers from pizza chain Papa Gino's and backyard tools company Fiskars manufacturers, additionally available at the event, described how they're the exhaust of the integrated products to rapidly compile aspect-of-sale (POS) information from retail outlets right through the USA and dole the tips to industry managers for enterprise analysis.

Over the next brace of years, IBM will promulgate significantly more products in the "tips on Demand" category, Mills referred to.

as an instance, Cognos' BI outfit are expected to steal on a Great deal more subtle analysis capabilities, developed at IBM's research labs.

other than Retail sustain Operations, other vertical options rolled out by passage of IBM these days protected Crime administration and perception; Municipal performance administration Scorecard; BI for health Analytics; actuality Sciences Promotional expend and Compliance; monetary Planning; pecuniary casual insight in Banking; possibility Adjusted Profitability for Banking; group of workers Analytics; and Manufacturing income and Operations Planning (S&OP) trade answer.

IBM likewise rolled out a really expert repository and content administration device favourite as the IBM Compliance Warehouse for prison manage.

For more: IBM contrasts its 'integration' with Cognos towards SAP's 'acquisitions'

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IBM Cognos pecuniary Statement Reporting Developer

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Certent acquires IBM finance and management products | killexams.com real questions and Pass4sure dumps

No result found, try original keyword!... disclosure management and report as well as equity compensation tools. Acquired products: IBM Cognos Disclosure Management, Cognos Disclosure Management on Cloud, Cognos pecuniary Statement Report...

Ten original Features for Report Users in IBM Cognos 10 Report Studio | killexams.com real questions and Pass4sure dumps

Instead of just focusing on the major features of IBM Cognos 10 Report Studio, Roger Johnson, coauthor of IBM Cognos 10 Report Studio: Practical Examples, looks at some lesser-known tools and kick properties to further enhance your Report Studio projects. From the author of 

The biggest additions to IBM Cognos Report Studio in version 10 fill been dynamic Reports and Statistics objects. These two original ways of presenting data provide many original options for report authors to create reports that match the analytical needs of the user community. Entire classes fill been created to focus on the creation of reports using these formats.

Other capabilities in IBM Cognos 10 Report Studio comprehend the integration of external data sources and the aptitude to reclaim Report Studio reports to exist used directly by industry Insight Advanced authors. Using external data sources in Report Studio has been a customer request since IBM Cognos tools moved to a web-based architecture. This enhancement gives the report consumer original opportunities to process just the information needed for a specific situation. By using a common report definition between applications, users who aren't accustomed to complicated reports can receive assistance to build reports that fill features beyond those normally available to industry Insight Advanced users.

While the features I've discussed to this point are promoted as key features, other useful options in version 10 will enlarge the effectiveness of reports to your users. Some of these features were previously available through complicated programming by the report developer, but IBM Cognos industry Intelligence now makes this job much easier. As a report writer and instructor who can treasure the aptitude to create report designs designed to inform a story, I want to highlight 10 of these original features.

Alternative Text

The Alternative Text property has been added to graphical objects, such as images and charts, to allow screen readers to translate the text (see design 1). Another aspect of this feature that's applied in various properties is to provide localized text without using conditional formatting.

Colored Regions, Plot area Fill, Material Effects

The Colored Regions, Plot area Fill, and Material Effects properties allow charts to fill more creative designs in order to enhance the overall presentation of the charts. Mixed with other chart presentation options, these features wait on report developers to give original polish to the presentation of content. design 2 shows the additional gradient options that are now available, along with the original properties for the charts.

New Gradient Fill Types

Moving beyond simple linear gradients, some original fill types provide more choices for enhanced presentations. Backgrounds behind pages, objects, and selected areas can now parade a number of gradient designs. The fill types comprehend rectangular frames and embedded circular gradients, with many parameters to customize the blending of colors (see design 3).

Chart Combinations (Primary Axis, Secondary Axis, Primary Bottom, Secondary Bottom)

IBM Cognos 8 industry Insight had the aptitude to set Y1 and Y2 axes. Now combination charts can exist stacked with two more axes for better analysis of related numbers. These options can exist integrated into dashboard design to enhance the presentation of related measures. design 4 shows a chart with the additional axes selected.

Query Calculations in Query Explorer supplant Calculated Member, Calculated Measure, Set Expression, and Intersection (tuple)

In IBM Cognos 8 Report Studio, different objects were created for each of the dimensional functions. Now they're gross bundled into the Query Calculations (see design 5). This option simplifies the toolbox for report authors, while emphasizing that dimensional queries can fill enhanced calculations.

Summarize diminutive Slices and Exploded Slices

With pie charts, two improvements comprehend summarizing diminutive slices and exploding slices. These two options greatly improve the presentation of pie charts to emphasize the most vital information (see design 6). In my classes, these options fill been requested for years, and now they're delivered in this release.

Trendlines, Category Baselines, and Numeric Baselines

Report Studio functions fill now improved on the predictive aptitude behind charts, without having to exhaust external functions to design the numbers (see design 7).

Series Color Synchronization

With the changes made to enhance series, this feature allows report writers to simplify the legends when the train information is repeated across the combinations. By changing the train Color property to Match (see the short arrow in design 8), the legend shows the different product lines and the nested measures differently (indicated by the longer arrow), increasing the effectiveness of the presentation.

Custom Properties for Prompts

Several original properties fill been added to enhance the prompt options. These changes allow report developers to create customized prompt options without the additional JavaScript programming required in earlier versions. Most of the prebuilt text labels with these prompts can exist customized to meet the needs of individual reports (see design 9).

Dimensional Set Definitions

As a welcome addition to dimensional functions, the Set Definition option (see design 10) allows report authors to create complicated subsets that are presented graphically. This feature can beget troubleshooting complicated sets much easier by providing a more modular approach to set development. This was the best original property for me, since it simplifies the development of sets that had to exist plenary of nested functions.


Using immense Data to Fight Fraud | killexams.com real questions and Pass4sure dumps

Posted April 18, 2013 By Drew Robb     Feedback

While immense Data can exist useful in fighting fraud, traditional industry intelligence tools aren't much help.

If it was light to detect fraud, there wouldn’t exist much of it around. But these days, the sheer volume of information being generated makes it more difficult than ever to detect.

“Organizations today typically fill a fragmented approach to dealing with security and fraud risks, which leaves them vulnerable to even more attacks as criminals are quick to find and exploit any points of weakness,” said Ellen Joyner-Roberson, global marketing principal at SAS Security Intelligence Solutions. “As a result, security risks and pecuniary crimes are increasing dramatically due to a frail global economy, growth in organized crime and the increasing sophistication of fraudulent schemes.”

Not Your habitual Analytics

Unfortunately, many current analytics systems attain not uphold robust analytical modeling, making it difficult to process and dissect information snappily enough to beget a difference. Different departments often fill disparate data sources and processes, so it’s tough to spot suspicious activity across the enterprise.

In addition, there is a constant struggle to balance tougher anti-fraud efforts with a advantageous customer experience. If vendors stop more transactions that are suspicious in an attempt to reduce fraud losses, they may indignant customers trying to complete legitimate transactions.

Banking, insurance, government, health keeping and retail are obvious targets for con artists. The banking industry, for example, has a immense problem with identity theft and account takeover. There, it is censorious that decisions are made in real time at the point of sale, which requires a monitoring and analytics approach that can instantly model for deportment changes and stop that transaction without getting it wrong too many times.

Due to such demands, the consensus is that traditional industry intelligence (BI) isn’t sophisticated enough. It needs to exist backed up by domain-embedded rules and adaptive analytics that can exist tailored to different types of fraud or pecuniary crime. Context likewise plays a vital part, and integrating contextual information from mobile apps and other channels can heighten success. And geospatial and velocity data capture at transaction origination should exist backed up by conclusion making in real time.

“To fight fraud before it causes pecuniary losses, companies are using real-time interdiction (definition: to forbid or debar) capabilities wherever they can, and with raw response times under 200 milliseconds,” said Joyner-Roberson.

Her company developed SAS Security Intelligence to address this market. It comprises various SAS products to address fraud and indelicate payments, regulatory compliance and security. This includes SAS Fraud Management, SAS Network Analytics, SAS pecuniary Crimes Suite and SAS Fraud Framework.

SAS Security Intelligence takes an enterprise approach to data management and consolidation, combining data integration, data character and master data management into a unified environment that brings together cross-channel enterprise data on a lone platform. It has the aptitude to score and conclusion gross transactions in real-time and intercept suspect deals.

Haystacks, Needles and immense Data

Big Data only magnifies the problems inherent in tracking down wrongdoers. Just how attain you deal with capturing, processing, and storing massive amounts of real-time data so you can learn and felicitous to changing deportment patterns?

“The needle in the haystack analogy is particularly arrogate for fraud detection due to the diminutive amount of fraud compared to the gross of legitimate Web traffic,” said Jesse McKenna, head of Threat Research for Silver Tail Systems, RSA. “However, as fraud patterns constantly shift and evolve, so does the needle you are looking for. Today it may exist a needle, tomorrow a pushpin or a nail.”  

The challenge is that you don’t know exactly what you are looking for other than it will exist different than the repose of the pile. While immense Data means you may exist able to derive more insights, finding the meaningful data and building detection algorithms that aren't brittle and won't quickly become impertinent takes a deep understanding of fraud.

That’s where behavioral analytics and adaptive detection methods become important. You requisite ways to sequester what is different that you may fill never seen before.

Analytics apps likewise fill to exist of value to fraud investigators, who are the ones with the smack of the real world. Machines can parch through the data mountain to locate unusual occurrences, but they are nowhere near as advantageous as people at evaluating and understanding context. Therefore, the app has to facilitate the people or fraud units it serves, not cross them with delays or lengthy procedures.

RSA’s Silver Tail Systems product suite (consisting of Forensics, Mitigator, and Profile Analyzer tools) provides behavioral analytics, real-time custom rules and mitigation capabilities, as well as a forensics interface for performing investigations.

For example, by monitoring the details of every HTTP/S request that is sent to a website, it learns what habitual deportment looks enjoy for the website and can then identify criminal deportment and alert the arrogate teams for investigation. Alternately, it can communicate with other network devices to redirect or terminate the Web session in real-time.

User-based behavioral analytics (in addition to the population-based ones) helps identify when a particular user is deviating from their habitual behavior, as is the case with many fraud and account compromise scenarios.  

“Silver Tail was created by ex-eBay and PayPal fraud professionals who lived the battle against fraud at a time when they were protecting the two most targeted brands on the Internet,” said McKenna. “Their experiences motivated them to sustain up with shifting Web fraud attacks instead of playing catch-up.”

Visual Aids

IBM is likewise involved in fraud analytics via a combination of IBM SPSS Modeler, SPSS Statistics, SPSS Collaboration and Deployment Services, SPSS Data Collection, SPSS conclusion Management, IBM Cognos BI, Cognos Express, Cognos Insight, Cognos Disclosure Management and Cognos pecuniary Statement Reporting.

IBM believes that visualization is a vital allotment in making sense of analytics information, especially when it comes to facilitating the travail of professionals in fraud detection.

“As data volumes continue to proceed up, BI tasks can benefit greatly from the exhaust of information visualization techniques,” said Don Campbell, CTO, IBM industry Analytics. “Good visual representations can wait on individuals intuitively understand complicated data. Visualization can exist a powerful presentation and information consumption interface. But it doesn't stand on its own.”

Graphical representation is likewise a focus of 21CT, a provider of analytics for investigation and pattern detection. It has released enhanced graph search for its LYNXeon product to wait on spot cyber attackers and document criminal behavior. The rationale behind the product is that machine -based attacks can exist caught by machines, but human-based attacks require specialized tools to wait on people detect them before the damage is done.

“Health keeping fraud, notably Medicare, is an huge problem, costing billions a year,” said Kyle Flaherty, vice president of Marketing at 21CT. “The challenge is not only the huge amounts of data, but likewise in the disparate connections within the data. Additionally, fraud has been rampant in this arena and the malicious entities fill become sophisticated.”

While regular BI tools provide insight into one slice of the overall information, Flaherty said, they are not advantageous enough for fraud detection, which depends on operational insight and the aptitude for a human to hunt through visualized data, ascertain links, and detect overall patterns of activity.

“Fraud detection is a human versus human battle, and BI tools can spit out more data and graphs to wait on illustrate the problem,” said Flaherty. “In the terminate you requisite to exist able to hop around the data and investigate.”

Drew Robb is a freelance writer specializing in technology and engineering. Currently living in California, he is originally from Scotland, where he received a degree in geology and geography from the University of Strathclyde. He is the author of Server Disk Management in a Windows Environment (CRC Press).



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