COG-500 exam Dumps Source : IBM Cognos 8 Analytic Applications(R) Developer
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IBM has brought a bunch of AI-powered apparatus to its BI platform, Cognos Analytics, to enable more advanced analytics,...
while on the very time making the platform less demanding for consumers to design utilize of, the industry referred to.
the brand recent Cognos Analytics 11.1 platform elements comprise 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 recent tools, past adding more superior capabilities, likewise design the platform less difficult to utilize for nondata-oriented employees and theme records scientists -- a class of users that has been growing to live All of a sudden.Following a trend
the recent features in Cognos Analytics 11.1 design "the platform a entire lot more straightforward to design utilize of to generate insights, in particular the herbal language search, which makes it viable for users to possess 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 domain 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 diminutive bit ahead of others, but most will forward to live in the very plot 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 likewise 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 celebrated it will work so as to add into its own platforms.Cognos Analytics eleven.1 allows for short comparisons of two visualizations in a recent exploration tool. less demanding to use
in accordance with Adams, at IBM, "we understand to in fact aid americans discover insights, to actually live self-carrier skill individuals should live instantly given insights, automatically possess things delivered to their attention, and they should possess things live actually approachable."
That approach is reflected in the recent AI Assistant. Taking potential of recent natural language processing (NLP) capabilities, the coadjutant in Cognos Analytics eleven.1 allows clients to category in questions and commands, corresponding to a command to live a section 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 section of your commonplace movement."advanced analytics
the recent 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 stare at a certain visualization, as an instance, the platform will instantly discover connected visualizations that could live used, Adams referred to. When deciding on data, the device will likewise provide concepts for visualizations.
With a brand recent exploration device in Cognos Analytics 11.1, users can drag and drop two visualizations for a "brief aspect-by-side comparison" a friendly way to immediately seek relationships, Adams pointed out.
The update likewise 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 possess 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 recent 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 require approach to advocate purchasers enrich their means to engage the company user through a greater dynamic and interactive experience, inform their option 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 financial 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 aid company clients capitalize entry and engage with the prerogative tips vital for determination making to optimise enterprise performance.
informal enterprise users, enterprise managers, and executives in All sizes of businesses are grappling with guidance overload and the rapidly pace of trade in these days’s globally connected financial 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 exigency quick entry to significant counsel, no matter if they are within the workplace or on the street, to design recommended choices that enhance financial and operational visibility and pressure common performance.
New self-serve flash-based mostly dashboard, cell and search capabilities in IBM Cognos eight v4 advocate 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 like google or computer productiveness purposes.
The debut of IBM Cognos eight company standpoint introduces recent pass-useful company modelling capabilities to advocate enterprise users and IT collaborate.enterprise users silhouette a shared representation of how their enterprise assistance should still 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 share 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 amalgamate 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 recent solutions and updated expert services, education, and assist offerings to extra accelerate up customer success. nowadays, Cognos has likewise 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 close ledger, receivables and payables analysis.
New enhancements to the Cognos eight business-class platform aid company users gain positive context from the information they regain hold of, and provides the IT department with streamlined development and management capabilities:
entry to the capabilities of company glossary, section 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 advocate 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 plot the statistics turned into sourced for studies, or view the entire facts supply chain by means of linking to 3rd party metadata providers or by the utilize of pre-constructed integration with InfoSphere recommendation Server for end-to-end data lineage. This helps these clients suffer in intelligence where the facts came from, and gives report authors and information modelers with streamlined document design and troubleshooting.
a recent gadget management methodology offers technical whitepapers, pattern stories, models and tools to aid system administrators invariably help how deployments are managed by way 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 All sizes of enterprises are challenged to enhance company efficiency through the strategic utilize of counsel, however they don’t possess 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 efficient choice-making for pervasive performance administration throughout the enterprise.”
AvailabilityThe user capabilities, enterprise platform and associated confirmed practice 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 recent approach consisting of trade-particular application and consulting capabilities geared to helping customers utilize tips on require as a strategic asset throughout their agencies.comments
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More enterprises are on a quest to utilize synthetic intelligence as a competitive advantage. IBM is on a mission to design this easier and more accessible for any organization via the cloud. The company has announced a recent 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 recent features of this release are a recent AI coadjutant and pattern detection capability. The AI coadjutant enables users to design queries and then receive results in natural language. According to IBM, this makes it easier to not only stare for answers, but understand where they forward in.
Pattern detection identifies and presents faultfinding relationships within data, pointing out patterns that may not possess been considered previously. By detecting patterns, the system can eradicate blind spots or guesswork in analysis, the company explained.
“When combined with the foundational governance and reliance capabilities built into Cognos Analytics, which provide data policy, relevancy, integrity and security, AI coadjutant and pattern detection will give users not only rapidly access to insights, but added self-confidence in the results,” Greg Adams, vice president of development for industry analytics at IBM, wrote in a post.
This version likewise 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 aid users live able to better understand what’s behind their results by analyzing it with machine learning and pattern detection. The system will likewise recommend the most useful visualization of results through a multi-stage recommendation system.
The system assembles recent content quickly by re-using apropos components from existing dashboards.
Finally, it has advanced analytics that comprise predictive analytics, the competence to identify data patterns and variables driving a certain outcome, smart annotation, and natural language generated insights of data.
“Analytics, data science and industry intelligence, possess become table stakes in the industry world,” wrote Adams. “They’re section of the fundamental building blocks, or rungs in the Ladder to AI, as they talk about. And we’ve worked arduous to design these sophisticated, complicated technologies effortless to access, effortless to use, and effortless to comprehend for just about any – All via the IBM Cloud. They believe organizations the world over will discern existent value in it and originate 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 recent 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 obviate vendor lock-in and start deploying AI wherever their data resides.
"Businesses possess 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, common Manager, IBM Data and AI. "With most large organizations storing data across hybrid cloud environments, they exigency the license and option to apply AI to their data wherever it is stored. By breaking open that siloed infrastructure they can aid businesses accelerate their transformation through AI."
Watson, IBM's AI, is designed to aid organizations consequence AI to work to help the performance of business. With a lucid set of applications, development tools, machine learning models, and management services, Watson is helping organizations around the world mine their data, predict outcomes, and automate time- and resource-sensitive processes.
Today's announcements forward this mission by providing businesses with a simpler, faster way to build, deploy and flee 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 still challenged to glide projects forward. According to an MIT Sloan report, 81 percent1 of enterprises conclude not understand what data is required for AI, or how to access it. And a recent Gartner study2 establish 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 development 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 recent innovations in FinTech and SportsTech using the microservices within the platform," said Abdulaziz Al Khalifa, CEO, Qatar development Bank. "What makes it especially attractive is that it enables us to develop and deploy recent models quickly that brings the tools to the data, rather than the other way 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 aid 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 like 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 development tooling. In the study, Forrester noted: "IBM has pre-integrated capabilities that allow clients to live productive in a week or less. They were likewise 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 succession of recent 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 recent Watson microservices can live flee on IBM Cloud, and other public, hybrid or multi-cloud environments.
The microservices are based on the following software solutions:
The recent Watson services link 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 scholarship Studio and Watson Natural Language Understanding.
In addition to this news, IBM today likewise announced that IBM Watson Machine Learning is being extended with a recent Accelerator (Watson Machine Learning Accelerator) that enables high performance GPU clustering on Power Systems and X86 systems. Combined with IBM POWER9's industry-leading GPU reminiscence bandwidth, the solution can tender 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 recent software, industry leaders will live able to apply AI directly to applications, helping to strengthen their workforce, from clerical to scholarship workers, to intelligently automate work from the mundane to the complex. In addition, the software will measure the even 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 & synthetic 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 silhouette recent offerings, client engagements, partnerships, technology breakthroughs and developer tools that underscore how IBM and partners are changing the way 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 depart to https://www.ibm.com/events/think/ for the complete 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 significance of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are based on the company's current assumptions regarding future industry and financial performance. These statements involve a number of risks, uncertainties and other factors that could occasions actual results to differ 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 obviate competitive offerings and the failure of the company to obtain necessary licenses; cybersecurity and data privacy considerations; fluctuations in financial 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 competence to attract and retain key employees and its reliance on faultfinding skills; impacts of relationships with faultfinding suppliers; product character 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 competence 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 form 10-Qs, form 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 synthetic Intelligence2 Gartner: "Predicts 2019: Data Management Solutions," Dec. 6, 2018.3 IBM internal study, Feb. 6, 2019.4 IBM Systems Blog: recent Watson Machine Learning Accelerator for Power Systems
SOURCE IBMRelated Links
The biggest additions to IBM Cognos Report Studio in version 10 possess been lively Reports and Statistics objects. These two recent ways of presenting data provide many recent options for report authors to create reports that match the analytical needs of the user community. Entire classes possess been created to focus on the creation of reports using these formats.
Other capabilities in IBM Cognos 10 Report Studio comprise the integration of external data sources and the competence to redeem 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 recent 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 complex reports can receive assistance to build reports that possess 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 complex 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 competence to create report designs designed to command a story, I want to highlight 10 of these recent 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 district Fill, Material Effects
The Colored Regions, Plot district Fill, and Material Effects properties allow charts to possess more creative designs in order to enhance the overall presentation of the charts. Mixed with other chart presentation options, these features aid report developers to give recent polish to the presentation of content. figure 2 shows the additional gradient options that are now available, along with the recent properties for the charts.New Gradient Fill Types
Moving beyond simple linear gradients, some recent fill types provide more choices for enhanced presentations. Backgrounds behind pages, objects, and selected areas can now panoply a number of gradient designs. The fill types comprise 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 competence 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 All bundled into the Query Calculations (see figure 5). This option simplifies the toolbox for report authors, while emphasizing that dimensional queries can possess enhanced calculations.Summarize petite Slices and Exploded Slices
With pie charts, two improvements comprise summarizing petite slices and exploding slices. These two options greatly help the presentation of pie charts to emphasize the most significant information (see figure 6). In my classes, these options possess been requested for years, and now they're delivered in this release.Trendlines, Category Baselines, and Numeric Baselines
Report Studio functions possess now improved on the predictive competence behind charts, without having to utilize external functions to figure 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 succession information is repeated across the combinations. By changing the succession 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 complex subsets that are presented graphically. This feature can design troubleshooting complex sets much easier by providing a more modular approach to set development. This was the best recent property for me, since it simplifies the development of sets that had to live complete of nested functions.
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