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


Lessons from the Equifax Data Breach

The recent data breaches should serve as a catalyst to more seriously consider what data we collect and store in our data warehouses.

Protect Your Network: Use Caution with IoT Data Sources

Internet of Things devices are becoming more common in every organization. Make sure you are implementing at least minimum standards for IoT security.

Data by Itself May Not Be Enough

As data warehouse practitioners, we recognize the importance and value of our organizations' data. We must also recognize that it can only be useful if the proper processes and education are in place.

Where Everybody Knows More Than Just Your Name

Facial recognition technology allows us to recognize prospects and link them to our customer data warehouses while potentially providing an additional data source.

Web Browsing Histories Now a Major Data Source for Analytics

An ISP's ability to sell our browsing history will create an additional big data source while expanding our digital footprints and further invading our privacy.

Artificial and Real Artificial Intelligence

Is your organization using AI techniques that involve your data warehouse? If you want to add AI to your analytics, you'll need to distinguish authentic AI from marketing jargon.

Avoid the Premature Release of Data Warehouse Software

Although we may be subject to intense pressure to meet implementation targets, we should make every effort to avoid treating our user community as beta testers or supplying users with inaccurate program prompts or user documentation.

That Was the Year That Was: Major BI Events of 2016 (and Predictions for 2017)

Industry analyst Michael Schiff shares the results of last year's predictions and what he foresees in the coming year.

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