Roger leads the Intersys Big Data and Analytics Practice with more than 20 years of experience in planning, building and implementing Information Management, Business Intelligence, and Analytics solutions in large and highly complex environments.

He specializes in Enterprise Information Management, Data Architecture and Modeling, Data Quality, Data Warehousing, Business Intelligence, Master Data Management, and Information Standards and Compliance.  Roger is responsible for defining the service offerings for Data Management and Business Intelligence as well as providing the framework for managing and delivering these services to clients. His success has been recorded with clients such as Citigroup, Toyota, AT&T Wireless, Johnson and Johnson, VA/VHA, and DHS.

As explosive demand for Big Data drives many organizations to their first data warehouse, Roger brings the unique ability to create data warehouses that help clients make sense of information for increased revenue, reduced costs, and improved customer experience while also enabling easier integration with existing IT. While working with Johnson and Johnson, for example, Roger helped build a data warehouse that for the first time integrated sales revenue and cost across three different lines of business. As a result, Johnson and Johnson leveraged the data to focus attention in customer areas that offered the greatest yields with less maintenance.

When not designing data warehouses, Roger focuses on his own house in Austin that he shares with his wife and four kids.  He is a foster parent, amateur screenwriter, and sports enthusiast.

Posts by Roger Wahman

Make Data your BAE – Best Asset Ever!

I’ve heard technology departments complain for years about Shadow IT. There are many reasons (many perceived) why other departments resort to building solutions outside of the standard IT process –too slow, too expensive, and too process heavy to name just a few. I’m not going to advocate for Shadow IT as the potential consequences typically …

Forget the 3 V’s of Big Data, the 5 I’s Have It

Written by Roger Wahman, VP Big Data and Analytics Many people try to characterize what constitutes Big Data. The commonly accepted definition from Gartner is based on the three V’s – Volume, Variety, and Velocity. While this may be an acceptable way to classify or quantify Big Data, it is not really useful in terms …

Top 5 Reasons Why Everyone in Technology should work in Consulting

Written by Roger Wahman, VP Big Data and Analytics As a practice manager, I talk to a lot of people about job opportunities. In the past few years, it seems like fewer people are looking to consulting to build their career. At the time when I was considering the same choice, consulting was the prestigious …

Aggression Testing

I was meeting with some colleagues discussing project deliverables a few days ago and one of them mentioned regression testing. For some reason, I heard Aggression instead of Regression. Maybe it was just the mood I was in that day. When I told the group what I thought I heard, we all had a laugh. …

Lobster Corn Dogs

 aka How I learned that Technology Selection and Data Archival go together I must confess that I am a bit of a foodie so I’m always anxious to try new things.  Recently, I was having dinner with a couple of colleagues in Minneapolis after visiting with a prospect and something on the menu caught my …