Transformational Decision Engineering
Decision Engineering - a new paradigm for improving business decisions through Data, Analytics & Technology. The current business analytics delivery model has significant shortcomings. Analytics is difficult to use, doesn't optimize the complete decision and leaves a lot desired. We need to move away from a "data & tool" centric process to a "decision" centric platform. Information explosion is occurring via volume, variety & velocity with the ability to analyse lagging behind with an ever widening analysis gap. Decision Engineering is the renaissance of analytics & can improve decisions across the organization by up to 30% this does not mean necessarily a merry-go-round of insatiable 'Big - Data Cloud'.
Our solutions make predictions about business functions, prescribe what to do next, and take actions autonomously. Decision Engineering helps you do a comprehensive optimization of your business decisions and overcomes all the challenges associated with the traditional way of doing analytics. What would be the benefits of such an approach? Several.
Futuristic view - You can get forward-looking business metrics, based on mathematically sound projections; so you can focus on next steps with more confidence, rather than merely looking at the past results.
Actionable as well as Proactive - Instead of spending time on gleaming "interesting" insights, you can focus your energy/time on evaluating various decision options. And the best part is that you don't need to generate the options yourself, Decision Engineering does that for you.
Test, Review, Revise - Decision Engineering allows you to simulate business outcome from your decisions. It also integrates feedback loops which allows you to do mid-course corrections.
Build institutional memory around decisions - Over a period you build a rich repository of which decisions work under what circumstances. The repository keeps feeding information into the model making it better over time.
