- When looking at the data analytics maturity model, 80% of applications by today’s SMB stop at descriptive analytics (what happened, i.e., reports) and diagnostic analytics (why did it happen, i.e., dashboards).
- Only 25% of the SMB cross the great competitive divide to adopt ML to leverage predictive analytics (what will happen next, i.e., ML & statistical modeling).
- Less than 5% of the SMB harness the superpower of prescriptive analytics (what’s the best that can happen/what should we do, i.e., automation & intelligent applications).
- Imagine an even more significant competitive advantage when companies can predict future events and results with high confidence and take proactive actions. ML helps companies generate higher-quality and less-biased predictions than humans. Results are generated much faster, with the accuracy improving over time.
Applied AnalyticsSander Murray2020-08-11T14:12:29-07:00