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IBM takes on Oracle, SAP with new integrated data management systems

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IBM is introducing three new PureSystems high-performance appliances optimized for transactional and analytics uses involving large amounts of data.

Q&A: Vendor Management Systems Build on BI

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Vendor management systems use business intelligence to help large companies track the many details associated with workplace staffing services.

Is There a Best Discovery Platform?

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Which is the best discovery platform? According to several prominent analytic database vendors, it doesn't matter. You're asking the wrong question.

Q&A: Cool BI

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Looking for the most interesting and intriguing new products in BI? We asked BI Scorecard and TDWI faculty member Cindi Howson what's hot.

4 Steps to Improve Adoption and Use of Your Data Warehouse

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"Build it and they will come" is no way to promote BI adoption and use. These four steps can help you benefit from a focused internal marketing and communication program for your BI users.

Human Behavior and Data Warehousing/BI Success

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Getting the most from BI and data warehousing requires more than just knowledge about technology -- we also need people skills, especially to interact and work together better.

3 Emerging Innovations for BI and Analytics

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As 2013 gets closer, here are three exciting and impactful technology innovations we are likely to see and that will likely capture your attention.

Terracotta Introduces Free, Real-Time Big Data Access

BigMemory Go underscores shift in data management strategies.

What Do BI Vendors Mean When They Say They Integrate With Hadoop

There's certainly a lot of hype out there about big data. As I previously wrote, some of it is indeed hype, but there are still many legitimate big data cases - I saw a great example during my last business trip. Hadoop certainly plays a key role in the big data revolution, so all business intelligence

Case Study: Analytic Software Tracks Billions of Mobile Ad Responses

For big data challenges, look no further than the world of mobile advertising, where the need for nearly instant tracking of responses from millions of consumers to ads popping up on their mobile devices means a big need for near-real-time analytics.
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