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Maximizing the value of your data through analytics

June 27, 2014

Many years ago, when asked by a room full of CEOs what will happen in the upcoming year, my favorite business philosopher Jim Rohn said, “Next year, things are going to be…just about the same as they’ve always been.”

I think if Jim Rohn was here today and saw the pace of technology and business advances, he may have something different to say.

And that is why you need to be at the next TDWI Solution Spotlight on “Maximizing the Value of Your Data through Analytics.” It’s only a half-day out of your busy schedule, but well worth your time.

You don’t want to miss Claudia Imhoff, president and founder of Intelligent Solutions Inc., covering everything from modern data architectures and use cases to data scientists and “things to ponder” when evolving your analytics programs.

One of the topics I personally like is her series of data warehousing and analytics architecture slides where she lays out, in very clear terms, what your core infrastructure should look like. She starts with a comprehensive architecture diagram, and then drills into what is needed to extend your infrastructure for several key use cases. Throughout her discussion, she shares important information about which technologies you need to accomplish your objectives, and gives examples of companies that have successfully implemented business-changing big data projects.

She also explores specialized views of architecture for:

  • Traditional EDW implementations: starting where most organizations are today with EDWs and specialized data marts for reports, dashboards, KPIs, historical trends, production reporting, forecasting and other uses
  • Data refinery: distilling data into business information before distributing the data to downstream systems
  • Real-time operational systems: analyzing data to provide fast, accurate insights to operational managers and real-time applications (for example: fraud detection, optimizing online promotions and location-based offers in real time and supply chain optimization)
  • Investigative analytics: data exploration, data mining and predictive modeling, often on new sources of data

Claudia also talks about the elusive data scientist and why you need them on your team. Learn more about what makes a good data scientist, see what technical and business skills they need to be effective and, if you are a company looking to add a data scientist to your staff, tune into Claudia’s secrets about where future data scientists are lurking.

To wrap all of this up into practical advice for any organization, Claudia lays out the most important “things to ponder” as you evolve your analytics programs and the data infrastructure that will support them. Good advice—and it’s free.

Indeed. Things are “not” going to be the same as they were last year. Come listen to Claudia Imhoff talk about big data so you can stay up to date on the latest and greatest in data warehousing and big data analytics. I hope to see you at the next TDWI Solution Spotlight.