Account-Based Analytics: Systems of engagement

It’s true. The BI industry still has a huge adoption rate issue (https://bi-survey.com/bi-deployment).  So how can we align our workforce from an account-based prospective? Even if we have all the data now, and we can group and provide advanced analytics – who cares if no one is engaging with the insights?

As systems of intelligence advance in the enterprise, as Jerry Chen, of Greylock Partners, notes in this post,  https://news.greylock.com/the-new-moats-53f61aeac2d9, old and new systems of engagement must align to generate value.

At any rate, systems of intelligence need to interact with knowledge workers to drive action. Not all systems of intelligence will interact with your workforce directly (some may be focused on machine to machine interaction), but for the ones that do, there needs to be an almost zero cost to value for your knowledge workers to understand how it works and to derive insights.

At Dynamo, we breakdown systems of engagement in two prongs for knowledge worker interaction to increase adoption.

  1. Analysis automation – there needs to be a near zero cost to value for the vast majority knowledge workers to ascertain the insights. We believe insights that were derived from various data mining and advanced analytic techniques need to be generated in natural language for highest adoption rate.
  2. Accessibility – there needs to be a near zero cost to value for knowledge workers to rapidly leverage insights. All insights need to be available where your work force already works, do not add in another system for your workforce to learn. Unless there’s such an enormous value to beat the cost to value.

That’s it – there’s plenty of systems your workforce uses already. When evaluating new providers, make sure they seamlessly work with your existing workflows for highest success rates and knowledge is given in natural language within those apps.

That’s the quick gist – As always, just trying to find right, not act right. Welcome feedback.

Team Dynamo.

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