COG-500 exam Dumps Source : IBM Cognos 8 Analytic Applications(R) Developer
Test Code : COG-500
Test designation : IBM Cognos 8 Analytic Applications(R) Developer
Vendor designation : IBM
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IBM has brought a bunch of AI-powered materiel to its BI platform, Cognos Analytics, to enable more advanced analytics,...
while on the very time making the platform less demanding for consumers to outcome utilize of, the industry referred to.
the brand unique Cognos Analytics 11.1 platform elements embrace an AI assistant, pattern detection, visualization recommendations, greater storytelling equipment, and greater superior analytics and predictive analytics capabilities.
The update, printed in a Sept. 27 IBM weblog post, represents a "massive funding," observed Greg Adams, vice chairman of IBM company Analytics, in an interview. the brand unique tools, past adding more superior capabilities, moreover outcome the platform less difficult to utilize for nondata-oriented employees and national records scientists -- a class of users that has been growing to live every single of a sudden.Following a trend
the unique features in Cognos Analytics 11.1 outcome "the platform a gross lot more straightforward to outcome utilize of to generate insights, in particular the herbal language search, which makes it practicable for users to occupy precise conversations with the records," spoke of Wayne Eckerson, founder and predominant advisor at Eckerson group.
IBM is [in the] middle of the pack, which is a tad awesome, given their Watson heritage. Wayne Eckerson, Eckerson group
"It automates records instruction and statistics modeling projects, so analysts can focal point extra on insights. It additionally auto-generates insights according to a province of activity chosen by using a consumer, using algorithms to tease out key drivers of a metric, for instance," he persevered.
nonetheless, Eckerson mentioned, these are facets that "the entire BI providers are racing to include."
"Some are a miniature bit ahead of others, but most will further to live in the very region in 18 months. IBM is [in the] middle of the pack, which is a tad dazzling, given their Watson heritage," he referred to.
prior this yr, BI application supplier Alteryx Inc. released Alteryx 2018.3, which introduced enhanced visualization capabilities and set the stage for future updates that are spoke of to raise the platform's augmented intelligence and sensible capabilities.
Tableau moreover made a movement to add extra automation to its systems this 12 months with the acquisition of MIT startup Empirical techniques. The startup worked on a platform to instantly mannequin facts for analysis, and it provides predictive insights into that statistics -- facets that Tableau noted it will work so as to add into its own platforms.Cognos Analytics eleven.1 allows for short comparisons of two visualizations in a unique exploration tool. less demanding to use
in accordance with Adams, at IBM, "we understand to in fact capitalize americans ascertain insights, to actually live self-carrier skill individuals should live instantly given insights, automatically occupy things delivered to their attention, and they should occupy things live actually approachable."
That approach is reflected in the unique AI Assistant. Taking potential of unique natural language processing (NLP) capabilities, the helper in Cognos Analytics eleven.1 allows clients to category in questions and commands, corresponding to a command to live a portion of records sets.
"the key with the conversation expertise, or not it's now not something that they wanted to bolt onto the side," Adams pointed out. "We actually tried to inject it, so it live portion of your commonplace movement."advanced analytics
the unique AI technologies in Cognos Analytics eleven.1 work well with the newly brought superior analytics equipment, Adams pointed out.
The platform now has sample detection, which could automatically find and latest relationships in records it is being explored.
taking a explore at a inevitable visualization, as an instance, the platform will instantly ascertain connected visualizations that could live used, Adams referred to. When deciding on data, the device will moreover provide concepts for visualizations.
With a brand unique exploration device in Cognos Analytics 11.1, users can drag and drop two visualizations for a "brief aspect-by-side comparison" a top-notch passage to immediately search relationships, Adams pointed out.
The update moreover includes enhanced predictive analytics capabilities; greater data storytelling alternatives, with the means to create interactive narratives with sequenced visualizations and media; and simpler-to-use reporting tools.atmosphere apart and looking ahead
whereas Adams recounted other BI structures occupy recently incorporated identical elements, he claimed IBM's attention to data governance units Cognos Analytics 11.1 apart.
"probably the most pleasant issues about Cognos is its commercial enterprise-grade, relied on environment," he pointed out, including that IBM has additionally introduced a device to immediately notice AI bias.
in addition to the update, IBM has launched a unique subscription pricing mannequin for the platform. The mannequin sets the platform into three tiers: lite, premium and business. The Cognos Analytics eleven.1 update is purchasable for the highest tier as of Sept. 28, and it will live available on the other tiers by using the conclusion of the 12 months, in line with IBM.
Cognos, an IBM industry that can provide enterprise intelligence and performance management options, has unveiled IBM Cognos 8 v4 which extends IBM’s information on demand approach to back purchasers enrich their means to engage the company user through a greater dynamic and interactive experience, inform their election making with improved context and relevance and align their approach and operations through finished visibility to goals, plans, forecasts and metrics throughout finance and operations.
IBM Cognos eight v4 lets establishments without hardship and securely prolong entry to depended on counsel to fully interact a diverse community of employees, valued clientele and partners throughout fiscal and operational divisions and approaches.Richer BI and efficiency management user capabilities akin to commercial enterprise planning, dashboards, analytics and reporting combine with an stronger commercial enterprise-classification platform, bendy industry modeling, and customer-oriented interfaces to capitalize company clients capitalize entry and engage with the perquisite tips vital for decision making to optimise enterprise performance.
informal enterprise users, enterprise managers, and executives in every single sizes of businesses are grappling with guidance overload and the rapid pace of trade in these days’s globally connected fiscal system. These types of company users signify 80% of people in ordinary organisations, based on Wayne Eckerson, director of TDWI analysis at the facts Warehousing Institute.* They need quick entry to notable counsel, no matter if they are within the workplace or on the street, to outcome recommended choices that enhance fiscal and operational visibility and pressure general performance.
New self-serve flash-based mostly dashboard, cell and search capabilities in IBM Cognos eight v4 back enterprise users instantly power decisions through bendy, customer-oriented interfaces that let them entry and engage with significant performance counsel the usage of time-honored purposes or gadgets. These consist of BlackBerry, Symbian or windows cellular instruments, enterprise search engines infatuation google or computer productiveness purposes.
The debut of IBM Cognos eight company standpoint introduces unique pass-useful company modelling capabilities to back enterprise users and IT collaborate.enterprise users profile a shared representation of how their enterprise assistance should silent live structured and seen to drive choices in a workflow ambiance devoid of disruption to the downstream methods which can live governed by using IT. These capabilities let economic analysts, line and company managers, or information stewards preserve, govern and partake hierarchies and industry views in accordance with their own organisational preferences while the IT department retains manage over how approved adjustments are posted and used.
customers can extra align enterprise operations, superior analytics and strategic plans throughout the employer by using IBM Cognos Now! and IBM Cognos TM1 as depended on statistics sources for IBM Cognos 8 BI and Planning. Key metrics from the continuous company monitoring of operational metrics can without problems live delivered to a customized enterprise dashboard along with key elements of company reviews which are pertinent to a particular line of company. Newly updated enterprise planning capabilities coalesce both planning and evaluation aspects to assist enhance the productivity and accuracy of planners inside the planning method. Planners can additionally construct persistent views of the agency to supply increased context for forecast records entry.
These greater person capabilities are supported by means of unique solutions and updated expert services, education, and assist offerings to extra speed up customer success. nowadays, Cognos has moreover brought IBM Cognos eight fiscal performance Analytics which is the latest addition to the Cognos’household of Analytic functions. it's designed to deliver corporations with fast, actionable insights into fiscal efficiency using utterly-configurable experiences for familiar ledger, receivables and payables analysis.
New enhancements to the Cognos eight business-class platform capitalize company users gain positive context from the information they gain hold of, and provides the IT department with streamlined progress and management capabilities:
entry to the capabilities of company glossary, portion of the IBM InfoSphere portfolio, which offers company clients with entry from each record to an commercial enterprise dictionary for consistent interpretation of described phrases equivalent to “gross margin” or “customer” and stewardship assistance that's used to back govern the information they are .
aid for annotations lets clients add recommendations, selections and feedback to reports and charts to supply further insight into the tips for reviewers.
file authors or records modelers can now view enterprise lineage of the region the statistics turned into sourced for studies, or view the gross facts supply chain by means of linking to 3rd party metadata providers or by the utilize of pre-constructed integration with InfoSphere advice Server for end-to-end data lineage. This helps these clients suffer in intellect where the facts came from, and gives report authors and information modelers with streamlined document design and troubleshooting.
a unique gadget management methodology offers technical whitepapers, pattern stories, models and tools to aid system administrators invariably help how deployments are managed by passage of accelerating the implementation of confirmed practices.
more suitable aid of IBM InfoSphere Warehouse via addition of InfoSphere cubing functions as an information source expands the power of the IBM Cognos OLAP portfolio by means of giving consumers a complete. spectrum of OLAP know-how to address their breadth of needs
New metadata integration with Rational records Architect allows for those consumers who model their information in this method to quite simply integrate that work with out duplication of effort.supporting charges
“employees and government management within every single sizes of enterprises are challenged to enhance company efficiency through the strategic utilize of counsel, however they don’t occupy time or supplies to sift via mountains of suggestions to pinpoint what is imperative,” says David McWilliam, MD at Cognos South Africa, an IBM enterprise. “Cognos 8 v4 empowers the enterprise through connecting agile, optimised monetary and operational enterprise techniques and aligning, enticing and informing employees with mission-critical tips that drives efficacious choice-making for pervasive performance administration throughout the enterprise.”
AvailabilityThe user capabilities, enterprise platform and associated confirmed rehearse solutions surrounding IBM Cognos eight v4 could live available in this fall, 2008 direct from Cognos, an IBM enterprise or its community of resellers.
IBM Cognos eight v4 is a key component of IBM’s counsel Agenda, a brand unique approach consisting of trade-particular application and consulting capabilities geared to helping customers utilize tips on demand as a strategic asset throughout their agencies.comments
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More enterprises are on a quest to utilize artificial intelligence as a competitive advantage. IBM is on a mission to outcome this easier and more accessible for any organization via the cloud. The company has announced a unique version of its Cognos Analytics solution, which integrates industry intelligence and data science technologies into a suite of tools available on IBM Cloud.
The key unique features of this release are a unique AI helper and pattern detection capability. The AI helper enables users to outcome queries and then receive results in natural language. According to IBM, this makes it easier to not only explore for answers, but understand where they further in.
Pattern detection identifies and presents faultfinding relationships within data, pointing out patterns that may not occupy been considered previously. By detecting patterns, the system can liquidate blind spots or guesswork in analysis, the company explained.
“When combined with the foundational governance and faith capabilities built into Cognos Analytics, which provide data policy, relevancy, integrity and security, AI helper and pattern detection will give users not only rapid access to insights, but added self-confidence in the results,” Greg Adams, vice president of progress for industry analytics at IBM, wrote in a post.
This version moreover adds storytelling, which allows users to create interactive narratives by assembling visualizations into a sequence and then enhancing it with media, web pages, images, shapes, and test.
Smart exploration will capitalize users live able to better understand what’s behind their results by analyzing it with machine learning and pattern detection. The system will moreover recommend the most useful visualization of results through a multi-stage recommendation system.
The system assembles unique content quickly by re-using pertinent components from existing dashboards.
Finally, it has advanced analytics that embrace predictive analytics, the capacity to identify data patterns and variables driving a inevitable outcome, smart annotation, and natural language generated insights of data.
“Analytics, data science and industry intelligence, occupy become table stakes in the industry world,” wrote Adams. “They’re portion of the fundamental structure blocks, or rungs in the Ladder to AI, as they talk about. And we’ve worked difficult to outcome these sophisticated, complicated technologies effortless to access, effortless to use, and effortless to comprehend for just about any – every single via the IBM Cloud. They believe organizations the world over will discern true value in it and start making even better, more strategic decisions to propel their businesses into the future.”
SAN FRANCISCO, Feb. 12, 2019 /PRNewswire/ -- IBM believe -- IBM (NYSE: IBM) today announced a unique chapter in the journey from AI experimentation to wide-scale deployment and industry transformation. IBM has made Watson portable across any cloud and empowered businesses to preclude vendor lock-in and start deploying AI wherever their data resides.
"Businesses occupy largely been limited to experimenting with AI in siloes due to the limitations caused by cloud provider lock-in of their data," said Rob Thomas, general Manager, IBM Data and AI. "With most great organizations storing data across hybrid cloud environments, they need the liberty and election to apply AI to their data wherever it is stored. By breaking open that siloed infrastructure they can capitalize businesses accelerate their transformation through AI."
Watson, IBM's AI, is designed to capitalize organizations attach AI to work to help the performance of business. With a clear set of applications, progress tools, machine learning models, and management services, Watson is helping organizations around the world mine their data, foretell outcomes, and automate time- and resource-sensitive processes.
Today's announcements further this mission by providing businesses with a simpler, faster passage to build, deploy and elope AI models and applications across any cloud. With these tools in place, organizations can:
Though the utilize of AI continues to gain attention in business, many organizations are silent challenged to trek projects forward. According to an MIT Sloan report, 81 percent1 of enterprises attain not understand what data is required for AI, or how to access it. And a recent Gartner study2 found that, "data and analytics leaders continue to struggle with the complexity, time to integration and cost implications of their data integration projects, thereby inflating their schedules and delivery costs with multiple cycles of revised project scope."
Still, the vast majority of enterprises, 83 percent, according to the MIT Sloan report, accord that driving AI across the enterprise is a strategic opportunity.
Qatar progress Bank has collaborated with IBM to establish the IBM Innovation Hub Doha. One of the key technologies that the Hub will deploy is IBM Cloud Private for Data. "The exciting thing about IBM Cloud Private for Data is how quickly they will live able to drive unique innovations in FinTech and SportsTech using the microservices within the platform," said Abdulaziz Al Khalifa, CEO, Qatar progress Bank. "What makes it especially attractive is that it enables us to develop and deploy unique models quickly that brings the tools to the data, rather than the other passage around."
ICP for Data is IBM's open, cloud-native information architecture for AI that comes integrated with advanced data science, data engineering and application-building capabilities, and is designed to capitalize companies uncover previously unobtainable insights from their data. Openness is at the core of ICP for Data, for which Watson Studio is a key part. For example, based on internal study, 85% of Watson users are using open source languages and frameworks infatuation Python, R, and TensorFlow, within the Watson family.3
In its recent report, The Forrester Wave™ : Enterprise Insight Platforms, Q1 2019, Forrester Research named ICP for Data a "Leader." The report analyzes and reviews Enterprise Insight Platforms that combine data management, analytics, and insight application progress tooling. In the study, Forrester noted: "IBM has pre-integrated capabilities that allow clients to live productive in a week or less. They were moreover impressed with its ML-assisted data cataloging and governance tools. IBM's platform uses Kubernetes to deploy on-premises or into the public cloud."
Watson Comes to ICP for DataAt the heart of today's announcements is a train of unique Watson microservices built for ICP for Data that are based on open source technologies and easily scalable across cloud environments. Based on the open-source Kubernetes technology, these unique Watson microservices can live elope on IBM Cloud, and other public, hybrid or multi-cloud environments.
The microservices are based on the following software solutions:
The unique Watson services relate Watson Studio and Watson Machine Learning, among other services, which are currently available on ICP for Data. Later this year, IBM will bring additional Watson services to ICP for Data, including Watson knowledge Studio and Watson Natural Language Understanding.
In addition to this news, IBM today moreover announced that IBM Watson Machine Learning is being extended with a unique Accelerator (Watson Machine Learning Accelerator) that enables towering performance GPU clustering on Power Systems and X86 systems. Combined with IBM POWER9's industry-leading GPU reminiscence bandwidth, the solution can proffer up to 10x faster4 machine learning training than competitive solutions. You can read more about the benchmark here.
IBM industry Automation Intelligence with WatsonIn addition to the release of these solutions, IBM announced a forthcoming software capability, called IBM industry Automation Intelligence with Watson. With this unique software, industry leaders will live able to apply AI directly to applications, helping to strengthen their workforce, from clerical to knowledge workers, to intelligently automate work from the mundane to the complex. In addition, the software will measure the level of impact and effectiveness of AI on industry outcomes.
IBM industry Automation Intelligence with Watson is anticipated to live available later this year. In the meantime, for more information, visit their early access program IBM.biz/GoAutomate.
About IBM & artificial Intelligence A world leader in AI for business, IBM has deployed Watson solutions in thousands of engagements with clients across 20 industries and 80 countries. IBM's Watson solutions are widely used in industries, including by 7 of the 10 largest automotive companies and 8 of the 10 largest oil and gas companies. Additionally, IBM Research is a world leader in the science of AI. In 2018, IBM secured 1,600 AI-related patents. And, IBM recently revealed its leading-edge Project Debater, created by IBM Research scientists.
Think 2019At believe 2019, IBM will profile unique offerings, client engagements, partnerships, technology breakthroughs and developer tools that underscore how IBM and partners are changing the passage the world works. For more information, visit the IBM believe 2019 Newsroom: https://newsroom.ibm.com/think. follow the conference on Twitter at #think2019 and @ibmlive, and fade to https://www.ibm.com/events/think/ for the plenary schedule and live streaming agenda.
Forward-Looking and Cautionary StatementsExcept for the historical information and discussions contained herein, statements contained in this release may constitute forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are based on the company's current assumptions regarding future industry and fiscal performance. These statements involve a number of risks, uncertainties and other factors that could antecedent actual results to vary materially, including the following: a downturn in economic environment and client spending budgets; the company's failure to meet growth and productivity objectives; a failure of the company's innovation initiatives; damage to the company's reputation; risks from investing in growth opportunities; failure of the company's intellectual property portfolio to preclude competitive offerings and the failure of the company to obtain necessary licenses; cybersecurity and data privacy considerations; fluctuations in fiscal results, impact of local legal, economic, political and health conditions; adverse effects from environmental matters, tax matters and the company's pension plans; ineffective internal controls; the company's utilize of accounting estimates; the company's capacity to attract and retain key employees and its reliance on faultfinding skills; impacts of relationships with faultfinding suppliers; product property issues; impacts of industry with government clients; currency fluctuations and customer financing risks; impact of changes in market liquidity conditions and customer credit risk on receivables; reliance on third party distribution channels and ecosystems; the company's capacity to successfully manage acquisitions, alliances and dispositions; risks from legal proceedings; risk factors related to IBM securities; and other risks, uncertainties and factors discussed in the company's shape 10-Qs, shape 10-K and in the company's other filings with the U.S. Securities and Exchange Commission (SEC) or in materials incorporated therein by reference. Any forward-looking statement in this release speaks only as of the date on which it is made. The company assumes no obligation to update or revise any forward-looking statements.
ContactMichael Zimmerman IBM Media Relations (585) firstname.lastname@example.org
1 MIT Sloan Management Review, Reshaping industry with artificial Intelligence2 Gartner: "Predicts 2019: Data Management Solutions," Dec. 6, 2018.3 IBM internal study, Feb. 6, 2019.4 IBM Systems Blog: unique Watson Machine Learning Accelerator for Power Systems
SOURCE IBMRelated Links
The biggest additions to IBM Cognos Report Studio in version 10 occupy been lively Reports and Statistics objects. These two unique ways of presenting data provide many unique options for report authors to create reports that match the analytical needs of the user community. Entire classes occupy been created to focus on the creation of reports using these formats.
Other capabilities in IBM Cognos 10 Report Studio embrace the integration of external data sources and the capacity to deliver Report Studio reports to live 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 unique 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 occupy 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 augment 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 appreciate the capacity to create report designs designed to expose a story, I want to highlight 10 of these unique 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 region Fill, Material Effects
The Colored Regions, Plot region Fill, and Material Effects properties allow charts to occupy more creative designs in order to enhance the overall presentation of the charts. Mixed with other chart presentation options, these features capitalize report developers to give unique polish to the presentation of content. figure 2 shows the additional gradient options that are now available, along with the unique properties for the charts.New Gradient Fill Types
Moving beyond simple linear gradients, some unique 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 embrace 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 industry Insight had the capacity to set Y1 and Y2 axes. Now combination charts can live stacked with two more axes for better analysis of related numbers. These options can live 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 every single bundled into the Query Calculations (see figure 5). This option simplifies the toolbox for report authors, while emphasizing that dimensional queries can occupy enhanced calculations.Summarize wee Slices and Exploded Slices
With pie charts, two improvements embrace summarizing wee slices and exploding slices. These two options greatly help the presentation of pie charts to emphasize the most notable information (see figure 6). In my classes, these options occupy been requested for years, and now they're delivered in this release.Trendlines, Category Baselines, and Numeric Baselines
Report Studio functions occupy now improved on the predictive capacity behind charts, without having to utilize external functions to compute 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 train information is repeated across the combinations. By changing the train 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 complicated subsets that are presented graphically. This feature can outcome troubleshooting complicated sets much easier by providing a more modular approach to set development. This was the best unique property for me, since it simplifies the progress of sets that had to live plenary of nested functions.
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