It's always exciting to plan digital transformation, AI, & actionable analytics but-  so boring to have to go back to that staple of success- data.

Unless enterprises and public sector organisations can join and analyse data in disparate data silos inherited over years of acquisitions they are doomed to relative failure.

AI, machine learning and robotic process automation (RPA) needs massive amounts of data to have a chance of success. It is said that insurance companies can only access 10% to 20% of their data! They can only innovate if they can access 90% plus. What is the situation in other industries.

To keep up with unpredictable customers and audiences this is a "must do" before seeking new technology answers. Retrieve the insightsin the data you already have and blatantly ignore before trying to be clever.