Data Marts Research
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Deliver Dynamic Efficiency with Power Systems Cloud Solutions
Sponsored by: IBM.This webcast takes an in-depth look at IBM Power Systems as an advanced virtualization platform for streamlined cloud deployment. Learn more about the RAS features scalability and performance capabilities.
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Worlds fastest database AND all the convenience of an appliance presentation transcript
Sponsored by: Actian CorporationWhen Lenovo needed a pre-configured software and hardware strategy for effective data analytics, they teamed up with Actian to deliver a power data mart appliance. Read this transcript to learn about the data warehousing and analytics tool they deployed that can run queries up to 27 times faster.
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Succeeding with Data Virtualization - High Value Use Cases for Operational and Data Management Data Services
Sponsored by: Denodo TechnologiesThis paper discusses virtual data services for operational business processing and data management as well as successful virtualization use cases.
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Tip Guide: The Good Data Mart
Sponsored by: SAP America, Inc.In this Tip Guide, readers will learn compelling reasons why organizations choose to build and support multiple dependent data marts.
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The secrets of highly effective data governance programs
Sponsored by: Pitney Bowes Group 1 SoftwareThe first key to a successful data governance program is ensuring user and organization expectations. To find out more secret advice for highly effective data governance programs read this expert e-Book. Our editorial team has gathered tips, techniques and best practices to plan a successful data governance plan.
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Data Mart Consolidation
Sponsored by: Hexaware TechnologiesThis white paper explores how Data Mart consolidation is an effective tool for saving money when dealing with large volumes of data.
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Prepare for the Quantum Leap in Real-Time Analytics: How In-Memory Analytics is going to change everything about your enterprise
Sponsored by: SAP America, Inc.This paper discusses how the shift to in-memory analytics will make time-to-value in countless business decisions accelerate, changing the pace of adoption and integrated analytics within the enterprise. Learn how in-memory analytics is going to change everything about your enterprise.
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IBM: What we learned from data marts and consolidation
Sponsored by: IBMThis blog post takes a closer look at data marts and how data warehouses evolved from them. Learn about the pros and cons of this technology as well as trends to expect for the future.
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What we learned from data marts and consolidation
Sponsored by: IBMWhat IBM learned about the trade-offs between data marts, data warehouses and consolidation.
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An Introduction to Analytical MDM: master data management for BI data
Sponsored by: DataFlux CorporationIn this eBook, IT, BI and data management professionals will get an overview of analytical MDM and learn how to develop and manage a successful program for mastering their BI data. Get insight and advice on analytical MDM’s potential benefits, challenges to watch out for and combining it with operational MDM for a full enterprise approach.
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Applying Business Analytics Webinar Series - Confident Predictions. Accurate Results.
Sponsored by: SASLearn how to easily gain profitable data mining results in less time and improve accuracy and usefulness of analytical models during this Webinar. You’ll find out how to deliver precise and confident results, manage and improve model performance, and derive and share insights to improve the quality and precision of your decisions.
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Information is King: Business Analytics in the Age of the Downturn and the (Re)Emergence of the Customer
Sponsored by: SASBusinessWeek Research Services (BWRS) launched a research program in April 2009 to determine the attitudes and opinions of C-level executives with regard to the use and value of business analytics. This paper reviews a portion of the research and provides analysis and insights on the topic of business analytics.
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Top 10 Data Mining Mistakes
Sponsored by: SASIn the following paper, we briefly describe, and illustrate from examples, what we believe are the “Top 10” mistakes of data mining, in terms of frequency and seriousness. Most are basic, though a few are subtle. All have, when undetected, left analysts worse off than if they’d never looked at their data.
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Prototyping Data Warehouses Using Visual Analytics: Presentation Transcript
Sponsored by: Tableau SoftwareRead this presentation transcript of the “Prototyping Data Warehouses using Visual Analytics” webinar that includes a case study demonstrating how the City of Charlotte is administering Tableau Server to reduce IT intervention, reduce costs and increase collaboration between business units.