Effective enterprises ensure staff have the vital 10 to 15 KPI dashboards & reporting to anticipate potential problems and monitor achievement of SLAs.
Bill Schmarzo adds a very important challenge- to involve business executives with data scientists and analysts to find that elusive 16th KPI. The insight that would make a major leap forward in competitive advantage and performance.
Self-service analytics as a component of a secure and scalable Analytics Platform is a practical way of achieving this. It encourages line of business staff to experiment by querying and analysing data. It allows analysts to discover new insights and share & test hypotheses with selected colleagues.
As long as this is implemented as an integral part of a scalable and secure analytics platform you will avoid creating silos of insight and potential security leaks.
The field of data science might have the reputation of being a black art that only a few can succeed at, but Schmarzo takes a much broader view, and asks business executives to take an active role in finding variables that might be better predictors of performance. Once those insights are identified, it’s up to the data scientists to figure out whether they’re valuable.