Stream: Virtual Room 6
Time: 12:00 - 13:00
Traditionally, mainframe costs optimization has focused on optimizing the monthly MSU peak, but with Tailored Fit Pricing (TFP) IBM is changing the way we think about managing mainframe software costs. This gives a whole new set of challenges, but also new opportunities. This presentation goes through some of the pitfalls and benefits of moving to TFP. How do you make fact based decisions about the potential impact of TFP? What data do you need, and what should you consider both from a technical and a commercial point of view before, during and after a transition to TFP?
Steven Thomas is Chief Technology Officer at SMT Data, a company specialising in applying business intelligence tools and methods to capacity and performance data for large IT installations. Steven is responsible for product development and professional services at SMT Data. He has a Master’s Degree in Computer Science from Stanford University and 30 years’ experience from IBM, Fidelity Information Services and Saxo Bank prior to joining SMT Data in 2011.
Steven Thomas is Chief Technology Officer at SMT Data, a company specialising in applying business intelligence tools and methods to capacity and performance data for large IT installations. Steven is responsible for product development and professional services at SMT Data. He has a Master’s Degree in Computer Science from Stanford University and 30 years’ experience from IBM, Fidelity Information Services and Saxo Bank prior to joining SMT Data in 2011.
Steven Thomas is Chief Technology Officer at SMT Data, a company specialising in applying business intelligence tools and methods to capacity and performance data for large IT installations. Steven is responsible for product development and professional services at SMT Data. He has a Master’s Degree in Computer Science from Stanford University and 30 years’ experience from IBM, Fidelity Information Services and Saxo Bank prior to joining SMT Data in 2011.
Steven Thomas is Chief Technology Officer at SMT Data, a company specialising in applying business intelligence tools and methods to capacity and performance data for large IT installations. Steven is responsible for product development and professional services at SMT Data. He has a Master’s Degree in Computer Science from Stanford University and 30 years’ experience from IBM, Fidelity Information Services and Saxo Bank prior to joining SMT Data in 2011.
Steven Thomas is Chief Technology Officer at SMT Data, a company specialising in applying business intelligence tools and methods to capacity and performance data for large IT installations. Steven is responsible for product development and professional services at SMT Data. He has a Master’s Degree in Computer Science from Stanford University and 30 years’ experience from IBM, Fidelity Information Services and Saxo Bank prior to joining SMT Data in 2011.
Steven Thomas is Chief Technology Officer at SMT Data, a company specialising in applying business intelligence tools and methods to capacity and performance data for large IT installations. Steven is responsible for product development and professional services at SMT Data. He has a Master’s Degree in Computer Science from Stanford University and 30 years’ experience from IBM, Fidelity Information Services and Saxo Bank prior to joining SMT Data in 2011.
Steven Thomas is Chief Technology Officer at SMT Data, a company specialising in applying business intelligence tools and methods to capacity and performance data for large IT installations. Steven is responsible for product development and professional services at SMT Data. He has a Master’s Degree in Computer Science from Stanford University and 30 years’ experience from IBM, Fidelity Information Services and Saxo Bank prior to joining SMT Data in 2011.
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