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Software Functionality Revealed in Detail
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 essbase query tutorial


One Vendor’s Mission to Make Service Businesses Click - Part 1
My recent series of tutorial articles entitled “Navigating Between Service Management Scylla @ Charybdis” and “The Magic Behind Planning and Executing (Optimal)

essbase query tutorial  

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

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Business Intelligence Corporate Performance Management Market Landscape


The arms race to marshal the most complete corporate performance management platform has intensified among major vendors. Many have a comprehensive set of business intelligence (BI) functionality.

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In-memory Analytics: Leveraging Emerging Technologies for Business Intelligence


Traditional analytic tools run queries against a data warehouse (DW) with user queries being processed against the data stored on relatively slow hard drives. In-memory analytics leverages a significantly more efficient approach where all the data is loaded into memory. This results in dramatic improvements in query response time and end-user experience. Find out how in-memory analytics can help your organization.

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The Business Case for Tokenization


Tokenization is a new type of technology that is being used by companies to reduce the risk of losing sensitive data to identity thieves. This paper discusses how you can make practical use of tokenization to reduce your risk. Additionally, this paper discusses specific target applications in your organization that you should consider for an implementation of tokenization.

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Access to Critical Business Intelligence: Challenging Data Warehouses?


There is a perception that if business users are given access to enterprise databases and raw query tools, they will create havoc in the system, which is a possibility—unless the business intelligence (BI) product developer understands the potential problem and addresses it as a business-critical factor.

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The Necessity of Data Warehousing


An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.

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Has The BI Market Consolidation Been Crystal-Clearly Actuated? Part Two: Market Impact


In addition to products' rationalization, the integration at sales and cultural levels will be challenging. In general, existing customers of involved merging vendors should be alert, but they should still look at these events as positive.

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Microsoft Office Fluent User Interface: IT Decision-maker Perception


This white paper presents the results of a commissioned study conducted by Forrester Consulting on behalf of Microsoft Corporation to help IT organizations considering adopting the 2007 Microsoft® Office system anticipate the impact of the new Microsoft Office Fluent™ user interface on their end users. The results are based on an online survey of 749 IT decision makers from companies piloting or deploying the 2007 Office system.

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A Definition of Data Warehousing


There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.

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Computerized Maintenance Management Systems: A Tutorial Part Two: Benefits and Interfaces


A CMMS is an excellent business opportunity whose implementation can significantly improve operations, reduce equipment downtime, increase accountability of the maintenance functions, and produce substantial financial savings. Read on to learn how this can be accomplished.

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IBM Cognos Business Intelligence


IBM Cognos Business Intelligence delivers the complete range of business intelligence (BI) capabilities, including query and reporting, analysis, dashboarding, and scorecarding, on a single, service-oriented architecture (SOA). It expands traditional BI with planning, scenario modeling, real-time monitoring, collaboration, and predictive analytics capabilities. IBM Cognos Business Intelligence offers rich capabilities in the following areas: Visualization   Cognos Active Report provides the flexibility to incorporate new and innovative chart types as well as more interactive versions of existing charts. IBM Rapidly Adaptive Visualization Engine (RAVE) visualizations enhance the Cognos Active Report consumption experience across consumption environments that include mobile devices. Report authors benefit from an improved authoring experience with enhanced flexibility to meet business-specific needs.   Performance Cognos Dynamic Cubes deliver efficient memory usage for data-intensive queries at large scales, a reduced memory footprint for data, and aggregate caches and improved aggregate selection logic to choose the aggregate with lower query cost.  Cognos Active Report leverages improved use of compression and engine optimization, providing smaller files with faster load times. Cognos Mobile leverages the Cognos Business Intelligence server to provide high-fidelity reports, including support for formatting, drilling, and prompts. Cognos Report Studio provides bursted reports that can be distributed across all report servers for better use of hardware resources and optimizes the execution of batch reports. Big Data Support Cognos Business Intelligence delivers Big SQL support. Hive support extends Cognos Business Intelligence's reach to commercial Hadoop offerings and complements predictive analytics for Hadoop through SPSS® Analytic Server.  

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