COG-706 exam Dumps Source : IBM Cognos fiscal Statement Reporting Developer
Test Code : COG-706
Test title : IBM Cognos fiscal Statement Reporting Developer
Vendor title : IBM
braindumps : 60 actual Questions
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BEDFORD, Mass., can moreover 10, 2016 (GLOBE NEWSWIRE) -- Datawatch corporation (NASDAQ-CM: DWCH) nowadays introduced the instant 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 convey superior and quicker records access and self-provider data preparation (prep) to its clients. ascend nowadays, those users can leverage Monarch to prep less, resolve greater and harness the vigor of IBM’s cognitive computing capabilities across the widest range of records sources.
statistics that offers the most analytical value has historically been locked away in in the past inaccessible multi-structured and unstructured files, corresponding to textual content stories, net pages, PDFs, JSON and log info. And, in lots of situations, an organization’s supply statistics is diverse and infrequently items itself in an evaluation-equipped layout. subsequently, hours are spent on steer facts retrieval and prep procedures.
The Datawatch Monarch self-carrier records prep solution makes it viable for statistics analysts and universal traffic users to unexpectedly access, maneuver and amalgamate facts from basically any source. statistics can then be prepared for analysis in Watson Analytics and Cognos Analytics in a fraction of the time that it takes the usage of spreadsheets and different manually-intensive measures.
“the vast majority of strategic enterprise decisions are made on incomplete or outdated tips, due to records retrieval challenges and time-intensive steer prep strategies,” spoke of Michael Morrison, president and CEO of Datawatch. “here's an unlucky reality given the strike these choices can gain on a company’s final analysis and boom abilities. Monarch allows for Watson Analytics and Cognos Analytics users to acquire not only the preempt counsel, however everything the suggestions, required to attain a holistic view of the company, after which without problems and abruptly reserve together it for evaluation. instead of disburse hours on mundane prep work, clients can now consecrate their time to performing evaluation that quickens resolution making and drives traffic value.”
IBM VisionDan Potter, Datawatch’s chief marketing officer, is scheduled to latest on modern advances in self-provider statistics prep on the upcoming IBM vision convention in Orlando, Florida. Potter will discuss how self-provider facts prep permits users, chiefly these in monetary and operational efficiency management, to leverage a much broader range of information, and garner faster and more accurate results. He’ll additionally divulge how an optimized facts file will moreover be organized for direct import into Watson Analytics and Cognos Analytics. Potter’s session will select vicinity on Wednesday, might moreover eleven, at 11 a.m. ET.
To be taught more about Datawatch Monarch for Watson Analytics and Cognos Analytics, proceed to: http://www.datawatch.com/ibm-analytics.
About Datawatch CorporationDatawatch organisation (NASDAQ-CM: DWCH) allows typical clients to obtain magnificent outcomes with their facts. simplest Datawatch can unlock statistics from the widest diversity of sources and reserve together it for expend in visualization and analytics tools, or for different company techniques. When real-time visibility into everything of a sudden altering data is essential, Datawatch additionally permits users to resolve streaming information, even within the most worrying environments, similar to capital markets. companies of everything sizes in additional than 100 nations global expend Datawatch items, together with ninety three of the Fortune one hundred. The enterprise is headquartered in Bedford, Massachusetts, with places of travail in astronomical apple, London, Frankfurt, Stockholm, Singapore and Manila. To study greater about Datawatch or download a free edition of its traffic utility, tickle visit: www.datawatch.com.
secure Harbor statement below the deepest Securities Litigation Reform Act of 1995Any statements contained during this press unencumber that don't picture historical information may additionally constitute forward-searching statements as that term is defined within the deepest Securities Litigation Reform Act of 1995. such a statements contained herein, together with but now not constrained to these relating to product performance and viability, are in response to current expectations, however are bailiwick to a yoke of dangers and uncertainties that may understanding precise outcomes to vary materially from expectations. The elements that may understanding actual future effects to vary materially from current expectations consist of here: swift technological change; Datawatch’s dependence on the introduction of latest items and product enhancements and viable delays in those introductions; acceptance of latest products through the market, competition within the application traffic commonly, and within the markets for next generation analytics in selected; and Datawatch’s dependence on its major products, proprietary software expertise and software licensed from third parties. additional assistance on factors that could understanding precise outcomes to vary from those predicted is discrete in a variety of publicly-available files, which consist of, however don't seem to be restrained to, filings made by using Datawatch now and again with the Securities and exchange commission, including however no longer limited to, these acting in the enterprise’s Annual report on configuration 10-okay for the yr ended September 30, 2015. Any ahead-searching statements may noiseless be regarded in mild of those components.
© 2016 Datawatch organization. Datawatch and the Datawatch brand are trademarks or registered logos of Datawatch organization within the united states and/or different nations. everything other names are emblems or registered emblems of their respective organizations.
Media Contact: Amanda Beaupre advertising and marketing Communications supervisor, Datawatch email@example.com 978-275-8387 Twitter: @datawatch
IBM has discrete utility company intelligence products together with Cognos Analytics (previously Cognos company Intelligence), Cognos TM1, Cognos express, and Cognos Disclosure management. IBM Cognos enterprise Intelligence entrance-end can connect with SAP for HANA integration from IBM Cognos 10.2.1.9 onwards through JDBC facts supply connectivity (IBM, n.d.). established in 1966, Jabil Circuit, Inc is likely one of the biggest electronic accessories manufacturing services establishments overlaying a wide-range of enterprise areas reminiscent of provide chain administration, digital circuits, design engineering, logistics, telecommunications, and semiconductor accessories for computing. GE is without doubt one of the biggest clients for Jabil Circuit (Universe, n.d.).
historical past of the problem
organisations want ultimate mile statistics analytics on their monetary operations. After performing procurement of substances, construction of accomplished goods, inventory administration, deliver chain administration, growing revenue orders, deliveries, transportation administration, superior delivery notifications, shipping, managing instruments administration, invoice creation, finally the enterprise has to operate the fiscal shut taking the sophisticated facts from the disparate records sources of the aforementioned company procedures. In an enterprise useful resource Planning equipment, everything of the above traffic strategies are unified in one database with a structured layout. youngsters, companies conducting the enterprise transactions in discrete database programs and spreadsheets will ought to disburse a number of hours to bring together the records to consolidate the commonplace ledger postings, money circulation, and money stream (Srilu, 2013).
The records that comes into excel spreadsheets may additionally not gain validation system to check the enter of the values except checking numeric, alphanumeric combos. There is no ordinary pre-described configuration install in excel Spreadsheet migrated from yet another system. this can create problems for a corporation to consolidate and migrate the information from excel spreadsheets into economic statements for every month end. excel spreadsheets can drastically decelerate the enterprise boom and the revenues of the commercial enterprise. If the traffic can not visualize the earnings and regional breakdown of the key efficiency warning signs, they aren't in a position to call the augment plot for the next quarter or subsequent month. this can gain an upshot on deliver chain operations, advanced planning optimization, and company network collaboration, company network planning. in the conclusion, the corporation will endure losses. Jabil was plagued by these basic issues to shut the finance of the companies on time (Thomson, 2012).
Jabil applied IBM enterprise Analytics, IBM Cognos enterprise Intelligence, IBM Cognos enterprise standpoint, IBM Cognos Controller, and IBM Cognos TM1 to beat the economic shut conundrums. IBM company Analytics includes a bevy of analytics options for corporations.
clever and Intuitive Analytics
Jabil applied IBM Cognos Analytics, the right arm of IBM traffic Analytics company Intelligence Analytics. The respond from Cognos Analytics presents the fiscal enterprise groups to create the analytics studies on their own. they can access the statistics points from BI Analytics through discrete sources, and with elementary drag and drop concepts they could build the self-serviceable experiences. company groups can entry IBM Cognos even when they are mobile or operating browser-based mostly gear on the information superhighway. Streamlined workflow offers a number of notifications for the corporation teams to action their selected projects (IBM, n.d.).
business Key efficiency symptoms
IBM enterprise performance administration gives the insights to measure the performance of the traffic in entirety by means of bridging the gaps create between the provide chain management operations and the monetary closing of the corporate books. It offers alternatives to build advanced planning for the company to accommodate techniques to job the trends of the statistics into the long sprint by using looking at the ragged patterns of the statistics in each company community. This gives forecasting for deliver chain operations to fabricate the products into the marketplace for various segments and shoppers. corporations that can Look at the premonitory watch indicators notifications and traits can set the tempo for traffic boom for every quarter to present the records insights into revenues. EPM can moreover video array the undertaking plans constructed with particular fiscal budgets for a bevy of a portfolio of mission options spanning a yoke of items to establish a knowledge-pushed corporation. The scorecards of EPM moreover suggests the areas where the felony and regulatory requirements for the enterprises in getting ready the fiscal statements (IBM, n.d.).
IBM Prescriptive Analytics performs diagnosis on the employer typical performance with strategic management innovations. The diagnosis leads to offering counseled options to explain, gain a Look at, record, and act. company workflow optimization drives automation of some decisions. C-level executives can control the enterprise-oriented decisions. These choices can doubtlessly arise on reviewing the brand loyalty of the shoppers related to selected items for both launching a brand modern product or augment an present product within the company. The prescriptive evaluation moreover can faucet into the localization of the movements organized with the aid of the company catering a bevy of indigenous markets (IBM, n.d.).
IBM traffic Intelligence gives predictive analytics for performing remaining mile facts mining analytics via wrangling the information with exploratory strategies to select into account the company views from quite a lot of key efficiency indicators of company strategies spawning from deciding to buy the raw materials via fiscal close. firms necessity insights to plot at the least 18 months ahead of their advanced planning optimization for deliver chain administration approaches. This can moreover be performed through a few forecasting fashions and utilized statistical strategies on the information and glean the statistics via text-primarily based analytics to create fashion-based models for the longer term. This helps to call and forecast the variety of products to launch on the industrial shelves for each retailer in the market with who Jabil is conducting the enterprise transactions. essentially, Jabil manufactures digital components to bring together various digital devices, telecommunication, and network gadget. This requires granularity of the market trends and the predictive analytics moreover can hook as much as connect with R language for leveraging any extra statistical programs. IBM’s Apache Spark can office the analytics in-memory in contrast to Apache Hadoop that places IBM ahead of the pack on file-based mostly programs. Integration of Apache Spark with IBM predictive analytics and R can enhance the gadget further (IBM, n.d.).
Governance, Compliance, and casual administration
corporations performing companies throughout the globe necessity to meet regulatory compliance requirements when buying and selling with different nations. The hazards can arise from the tax laws or customs obligations levied by other international locations throughout the globe. To stability the exchange dangers, the company transactions conducted within the traffic resource planning gadget or via dissimilar database systems deserve to be audited. IBM has the analytics solutions for managing the chance. The possibility administration analytics will scan in the course of the database of the supplier and find out the risks involved via true-time analytics for understanding the ever-increasing hazards in the transactions (IBM, n.d.).
though, Jabil implemented not the entire above options. despite the fact, a majority of the IBM Analytics options had been carried out. The merits derived with the aid of Jabil via IBM Analytics options supplied miraculous insights to achieve the operational excellence for fiscal immediate and manufacturing plant life to sprint their company successfully. The respond will moreover be utilized to several different industries which are within the manufacturing of semiconductor, high-tech, telecommunications, storage contraptions, and network equipment. The manufacturing procedure includes a specific manner mannequin to prepare the built-in design of the circuits and chips. The master statistics management built by means of Jabil through their analytics, and commercial enterprise performance administration to array screen the Important thing efficiency symptoms may moreover be utilized to numerous different industries which are under an analogous category. The success of Jabil will moreover be a viable probability for leisure of the industries in that section to keep in response to the requirements analysis and implementation of Jabil.
IBM (n.d.). Cognos Analytics. Retrieved November 9, 2015, from http://www.ibm.com/analytics/us/en/technology/items/cognos-analytics/
IBM (n.d.). Cognos company Intelligence 10.2.1. Retrieved December 28, 2015, from http://www-969.ibm.com/application/reports/compatibility/readability-studies/report/html/prereqsForProduct?deliverableId=1330380859450#!
IBM (n.d.). commercial enterprise performance management. Retrieved November 9, 2015, from http://www-03.ibm.com/software/items/en/class/efficiency-management
IBM (n.d.). Predictive Analytics. Retrieved November 10, 2015, from http://www.ibm.com/analytics/us/en/know-how/predictive-analytics/
IBM (n.d.). Prescriptive analytics. Retrieved November 9, 2015, from http://www-03.ibm.com/application/products/en/class/prescriptive-analytics
IBM (n.d.). casual management. Retrieved November 10, 2015, from http://www.ibm.com/analytics/us/en/company/chance-management.html
Srilu (2013). SAP modules overview and company procedures. Retrieved November 9, 2015, from http://www.slideshare.web/srilu999/sap-modules-overview-and-enterprise-procedures
Thomson, S. (2012). IBM Analytics gives Jabil more suitable insight Into economic performance. Retrieved November 9, 2015, from http://www-03.ibm.com/utility/businesscasestudies/us/en/corp?synkey=M525334P42483U27
Universe, F. (n.d.). Jabil Circuit, Inc. historical past. Retrieved November 9, 2015, from http://www.fundinguniverse.com/enterprise-histories/jabil-circuit-inc-heritage/
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The biggest additions to IBM Cognos Report Studio in version 10 gain been vigorous Reports and Statistics objects. These two modern ways of presenting data provide many modern options for report authors to create reports that match the analytical needs of the user community. Entire classes gain 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 ability to save Report Studio reports to be used directly by traffic 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 modern 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 tangled reports can receive assistance to build reports that gain features beyond those normally available to traffic Insight Advanced users.
While the features I've discussed to this point are promoted as key features, other useful options in version 10 will augment the effectiveness of reports to your users. Some of these features were previously available through tangled programming by the report developer, but IBM Cognos traffic Intelligence now makes this job much easier. As a report writer and instructor who can esteem the ability to create report designs designed to relate a story, I want to highlight 10 of these modern 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 figure 1). Another aspect of this feature that's applied in various properties is to provide localized text without using conditional formatting.Colored Regions, Plot locality Fill, Material Effects
The Colored Regions, Plot locality Fill, and Material Effects properties allow charts to gain more creative designs in order to enhance the overall presentation of the charts. Mixed with other chart presentation options, these features succor report developers to give modern polish to the presentation of content. figure 2 shows the additional gradient options that are now available, along with the modern properties for the charts.New Gradient Fill Types
Moving beyond simple linear gradients, some modern fill types provide more choices for enhanced presentations. Backgrounds behind pages, objects, and selected areas can now array 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 figure 3).Chart Combinations (Primary Axis, Secondary Axis, Primary Bottom, Secondary Bottom)
IBM Cognos 8 traffic Insight had the ability to set Y1 and Y2 axes. Now combination charts can be stacked with two more axes for better analysis of related numbers. These options can be integrated into dashboard design to enhance the presentation of related measures. figure 4 shows a chart with the additional axes selected.Query Calculations in Query Explorer supersede 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 everything bundled into the Query Calculations (see figure 5). This option simplifies the toolbox for report authors, while emphasizing that dimensional queries can gain enhanced calculations.Summarize wee Slices and Exploded Slices
With pie charts, two improvements comprehend summarizing wee slices and exploding slices. These two options greatly better the presentation of pie charts to emphasize the most Important information (see figure 6). In my classes, these options gain been requested for years, and now they're delivered in this release.Trendlines, Category Baselines, and Numeric Baselines
Report Studio functions gain now improved on the predictive ability behind charts, without having to expend external functions to reckon the numbers (see figure 7).Series Color Synchronization
With the changes made to enhance series, this feature allows report writers to simplify the legends when the progression information is repeated across the combinations. By changing the progression Color property to Match (see the short arrow in figure 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
As a welcome addition to dimensional functions, the Set Definition option (see figure 10) allows report authors to create tangled subsets that are presented graphically. This feature can develop troubleshooting tangled sets much easier by providing a more modular approach to set development. This was the best modern property for me, since it simplifies the evolution of sets that had to be replete of nested functions.
While astronomical Data can be useful in fighting fraud, traditional traffic intelligence tools aren't much help.
If it was effortless to detect fraud, there wouldn’t be 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 gain 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 fiscal crimes are increasing dramatically due to a feeble global economy, growth in organized crime and the increasing sophistication of fraudulent schemes.”Not Your usual Analytics
Unfortunately, many current analytics systems finish not uphold robust analytical modeling, making it difficult to process and resolve information speedily enough to develop a difference. Different departments often gain disparate data sources and processes, so it’s tough to spot suspicious activity across the enterprise.
In addition, there is a constant struggle to equilibrium tougher anti-fraud efforts with a kindly customer experience. If vendors stop more transactions that are suspicious in an attempt to reduce fraud losses, they may madden furious mad customers trying to complete legitimate transactions.
Banking, insurance, government, health care and retail are obvious targets for con artists. The banking industry, for example, has a astronomical problem with identity theft and account takeover. There, it is critical that decisions are made in actual time at the point of sale, which requires a monitoring and analytics approach that can instantly model for conduct changes and stop that transaction without getting it wrong too many times.
Due to such demands, the consensus is that traditional traffic intelligence (BI) isn’t sophisticated enough. It needs to be backed up by domain-embedded rules and adaptive analytics that can be tailored to different types of fraud or fiscal crime. Context moreover 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 be backed up by determination making in actual time.
“To fight fraud before it causes fiscal losses, companies are using real-time interdiction (definition: to prohibit 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 unbecoming payments, regulatory compliance and security. This includes SAS Fraud Management, SAS Network Analytics, SAS fiscal 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 separate platform. It has the ability to score and determination everything transactions in real-time and intercept suspect deals.Haystacks, Needles and astronomical Data
Big Data only magnifies the problems inherent in tracking down wrongdoers. Just how finish you deal with capturing, processing, and storing massive amounts of real-time data so you can learn and adapt to changing conduct patterns?
“The needle in the haystack analogy is particularly preempt for fraud detection due to the wee amount of fraud compared to the whole 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 be 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 be different than the leisure of the pile. While astronomical Data means you may be able to derive more insights, finding the meaningful data and structure detection algorithms that aren't brittle and won't quickly become immaterial takes a deep understanding of fraud.
That’s where behavioral analytics and adaptive detection methods become important. You necessity ways to sequester what is different that you may gain never seen before.
Analytics apps moreover gain to be of value to fraud investigators, who are the ones with the undergo of the actual world. Machines can burn through the data mountain to locate unusual occurrences, but they are nowhere near as kindly as people at evaluating and understanding context. Therefore, the app has to facilitate the people or fraud units it serves, not affliction 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 regular conduct looks relish for the website and can then identify criminal conduct and alert the preempt 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 regular 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 uphold up with shifting Web fraud attacks instead of playing catch-up.”Visual Aids
IBM is moreover involved in fraud analytics via a combination of IBM SPSS Modeler, SPSS Statistics, SPSS Collaboration and Deployment Services, SPSS Data Collection, SPSS determination Management, IBM Cognos BI, Cognos Express, Cognos Insight, Cognos Disclosure Management and Cognos fiscal Statement Reporting.
IBM believes that visualization is a vital fragment 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 profit greatly from the expend of information visualization techniques,” said Don Campbell, CTO, IBM traffic Analytics. “Good visual representations can succor individuals intuitively understand tangled data. Visualization can be a powerful presentation and information consumption interface. But it doesn't stand on its own.”
Graphical representation is moreover a focus of 21CT, a provider of analytics for investigation and pattern detection. It has released enhanced graph search for its LYNXeon product to succor spot cyber attackers and document criminal behavior. The rationale behind the product is that machine -based attacks can be caught by machines, but human-based attacks require specialized tools to succor people detect them before the damage is done.
“Health care fraud, notably Medicare, is an enormous problem, costing billions a year,” said Kyle Flaherty, vice president of Marketing at 21CT. “The challenge is not only the enormous amounts of data, but moreover in the disparate connections within the data. Additionally, fraud has been rampant in this arena and the malicious entities gain become sophisticated.”
While regular BI tools provide insight into one slice of the overall information, Flaherty said, they are not kindly enough for fraud detection, which depends on operational insight and the ability for a human to hunt through visualized data, learn 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 succor illustrate the problem,” said Flaherty. “In the halt you necessity to be 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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