Webinar 7/17/13 1PM EST, 10AM PST- "The Subscription Economy- How to Use Real-Time Data to Maintain Customers"
Churn and Burn No More
I was just listening to an interview from last weeks SAPs Sapphire user conference where SAPs Co-CEO, Bill McDermott reported that SAPs cloud business grew by 380% in Q1. He didnt break it down, but one can reasonably assume that the bulk of this growth occurred in business applications like core ERP, SCM, SFM, HCM solutions. It got me thinking about where we are with Analytics in the cloud. A report published last fall by noted BI analyst Howard Dresner tells how adoption of analytics in the cloud is still in the early innings. This makes sense. As business applications move to the cloud, more businesses get familiar and comfortable with this new computing model. Perhaps more importantly, it puts business datathe lifeblood of analyticsout in the cloud making the move to cloud BI a natural next step.
In Enterprise BI, adoption is everything. You can bring together the most relevant business data and deliver it within a beautiful BI application, but if your users dont use it, it doesnt matter. One way to drive user adoption is to embed analytics directly into front line applications like SCM, CRM, or Customer Care systems.
Bramasol is pleased to welcome you to Orlando, Florida May 14-16th at Orange County convention center.
Ok, full disclosure up front: I am a big proponent of Data Mining and Predictive Modeling as being the next logical step in the evolution of business intelligence and decision support capabilities for the business user. So it should not be a surprise that my reaction to the recent CIO Magazine webcast on SAPs new Predicative Analysis software solution is enthusiastic.
I recently attended a webinar sponsored by SAP. The topic was Managing Big Data as Enterprise Information. There were two parts to this webinar: the first, a conceptual presentation around Hybrid Data Ecosystem by Shawn Rogers from EMA; the second, Marie Godell explained how SAP solutions support the Hybrid Data Ecosystem.