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- Data, Metadata and Big Data Summary
Bill Inmon reminds us that all data is not created equally, and he points out what that means for big data implementations.
by Bill Inmon - The World of Location Intelligence Tomorrow Summary
Steve Benner completes his series by focusing on the key trends that are shaping the future of location intelligence.
by Steve Benner - Big Data in the Operational World Requires a Different Mind-Set: A Spotlight Q&A with James Taylor Summary
In this interview by Claudia Imhoff, President of Intelligent Solutions and founder of the Boulder BI Brain Trust, James Taylor, CEO of Decision Management Solutions, talks about how big data has changed operational analytics.
by Claudia Imhoff - Analytics, Hype and the Limits of Reasonability Summary
David Loshin explains why a comprehensive analytics program requires a well-organized data management program and integration across the various lines of business.
by David Loshin - Government Big Data Drivers and Best Practices: A Spotlight Q&A with David Loshin Summary
David Loshin, President of Knowledge Integrity, talks with Ron Powell, independent consultant/analyst and BeyeNETWORK expert, about the big data challenges facing today's government agencies.
by Ron Powell - Beginning Prescriptive Analytics with Optimization Modeling Summary
In this article, Jen Underwood explains that prescriptive analytics provides the best outcomes for modeled situations based on optimization. She shares a simple optimization example using mathematical programming techniques and provides advice for developing an optimization model.
by Jen Underwood - Business Intelligence Education and the Public Sector Summary
In this article, Dr. Barquin emphasizes the importance of properly trained BI professionals, especially in government agencies. He describes a program for addressing the basic needs of a new practitioner.
by Dr. Ramon Barquin - Measuring KPIs is Passé Summary
Saurabh Jain explains why business intelligence and analytics initiatives need to evolve in order to achieve better business performance.
by Saurabh Jain
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Wayne Eckerson & the BeyeNetwork
TechTarget Editorial Content
Editors' Picks:
- Analytical models in big data environments often best left small Summary
In many cases, data analysts can find the results they're looking for by examining only a sample of the data that's available in big data systems. - Hadoop still too slow for real-time analysis applications? Summary
Hadoop vendors are trying to position the distributed processing technology as a real-time analytics tool. But some real-time roadblocks remain. - Hadoop cluster implementations take IT teams into uncharted waters Summary
Hadoop confronts deployment teams with unfamiliar challenges, particularly with knowledge of its inner workings still elusive in many organizations.
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February 20, 2014
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Of Note
This Technology Guide, authored by Wayne Eckerson, explores the market for in-memory visualization tools that provide speed of thought analysis to power users and interactive departmental dashboards to casual users. It discusses market segmentation and product positioning. The free report is available for download here.
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