• March 13, 2016

Operationalize the Power of Analytics

In less than five years, business use of the internet went from ad hoc, back-room projects to online commerce. And in the next 10 years, it became ingrained in almost every aspect of business operations. Yet after almost 50 years of development and application, predictive analytics remain an ad hoc, back-room endeavor in most companies. Sure, individual analytic projects have generated great insight, but few companies have embedded analytic insights into critical business processes and applications for exponential business results. Most business decisions are still made by what Andrew McAfee of MIT calls the “HiPPO” model—the highest-paid person’s opinion.

It’s time to exploit the power of analytics beyond one-off “science projects” to become an integral part of how businesses act across all critical decision points. Not to just a small group of 10 internal decision-makers, but beyond to the thousands of information workers interfacing with customers—or better yet, to the 100,000 decisions made each day in applications and machines.

Our HPE Enterprise Services Analytics practice works with clients to define and implement strategies that help them operationalize analytics. We’ve identified 10 key process areas that must be in place to achieve the potential of operational analytics.

The Operational Analytics white paper explains it all. But to add more human perspective, engage and join the discussion by reading our series of 10 blogs covering the key process areas on the HPE Community Blog:

1. Infuse every business decision with predictive analytics
2. Enable operational analytics via a discovery zone
3. Manage your decision processes
4. Deliver information to where it’s needed
5. Application integration helps do a million things right
6. Hybrid data management brings the data together
7. Move into production with analytics production and management
8. Connect the dots with analytic workflow
9. Analytic culture embraces the science behind the magic
10. Analytic governance—be responsible for what you have tamed