TDWI Upside - Where Data Means Business

Contributor: Mike Shiff


Michael A. Schiff is founder and principal analyst of MAS Strategies, which specializes in formulating effective data warehousing strategies. With more than four decades of industry experience as a developer, user, consultant, vendor, and industry analyst, Mike is an expert in developing, marketing, and implementing solutions that transform operational data into useful decision-enabling information.

His prior experience as an IT director and systems and programming manager provide him with a thorough understanding of the technical, business, and political issues that must be addressed for any successful implementation. With Bachelor and Master of Science degrees from MIT's Sloan School of Management and as a certified financial planner, Mike can address both the technical and financial aspects of data warehousing and business intelligence.


All articles by Mike Schiff


A Dark Side of the Cloud: Breaking Up is Hard to Do

Why enterprises must have contingency plans for their data before moving to the cloud.

Everything They Ever Wanted to Know About YOU

The recent revelations about the NSA's data collection highlight privacy issues, which enterprises also face as they build a more complete view of their customers.

Big Data: Helping to Predict the Unpredictable

Recent advances in analytic technology have provided us with the horsepower necessary to harvest much more big data.

BI: Becoming Cheaper, Better, Faster, and More Pervasive Each Year

Technical innovations are making BI more pervasive each and every day.

Decision Support: A Classic, Back-to-Basics Data Warehousing Business Driver

Big data and real-time analytics offer important and exciting benefits, don't lose sight of your organization's classic decision-making needs.

That Was the Year that Was: Major Data Warehousing Events of 2012 (and Predictions for 2013)

How well did we predict 2012's big events, and what's ahead for 2013?

Consumer Intelligence: A Driving Force for More Pervasive BI

If I can do this while shopping, why not at work?

Data Warehouse Architecture: Anticipating Future Needs

Even if their existing data warehouse architecture satisfies current requirements, organizations need to be prepared to address their future needs.

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