The following is link to Bloomberg Research article on Adobe’s strategy to accelerate cloud business transformation with Information Management. This is partly based on my presentation in SAP HANA user group.
“A key piece of Adobe’s data strategy is Adobe Dash, a business intelligence platform that connects data across multiple sources in real time. Because traditional databases cannot aggregate data on the fly, the company turned to in-memory computing. Adobe had used in-memory computing in the past to analyze large data sets to stem software piracy,3 and the effort had quickly uncovered enough information about software misuse to suggest that the technology offered significant revenue opportunities. Adobe Dash offers several benefits:
• Trust. Business performance KPIs are now timely, accurate and undisputed. With a single set of KPIs, Adobe can now work from a single version of the truth.
• Speed. Business leaders now have direct the exact data they needed rather than sorting through data dumps. To accomplish both of these goals, Adobe needed to enable cross-functional collaboration, integrate silos of data, deliver one version of performance metrics, react to customer signals in milliseconds and enable data-driven action.
According to Prasad Bhandarkar, director of Adobe Information Services, these goals were accomplished by leveraging in-memory computing,1 which rapidly aggregates and analyzes vast amounts of numerous types of data. The use of in-memory computing and analytics tools is the centerpiece of the company’s vision of “revolutionizing the way Adobe engages with information,” Bhandarkar said.”