In the current digital world, there is no industry that won’t benefit from actionable insights. With time, every industry will adapt to it. For example, in financial technology, a problem that requires actionable insights is credit risk assessment. A well-structured fintech algorithm can easily use machine learning to suggest to employees whether they can approve and reject a loan application. That advice is actionable insight.

The algorithm assesses the applicant’s probability of load success by training on heaps of historical data and market conditions. The result of the algorithm is the insightful judgment of the applicant’s acceptable or unacceptable risk. Action, in this case, is the human loan agent’s decision to grant the loan or deny it. The majority of businesses in today’s day and age depend on such insights. They require actionable insights incorporated in the workflows to drive better business outcomes without people having to leave their primary tasks to sieve through data for answers.

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