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


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.

Leverage Your Data for Better Customer Service

Even when organizations have the necessary data to improve service processes, customers may still receive confusing communications that make organizations seem incompetent.

Take Care When Applying Predictive Analytics

Predictive analytics can get things wrong. Here's what your enterprise needs to do to prevent problems or public relations disasters.

How Accurate Are Your Data Sources?

We often assume that data obtained from outside sources meets the same quality standards as data from our own operational systems. Unfortunately, this may not be true.

Cloud Deployments: Benefiting User, Developer, and Vendor Communities

Vendors should consider the cloud as more than another direct revenue channel. Don't overlook the ways you can benefit from offering a cloud-based solution.

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