Most analytics transformation efforts do not deliver a positive ROI for the enterprise even after several years. CEOs and their boards know they need to execute an AI-led differentiation strategy to either future-proof themselves, address an existential risk in the marketplace, or simply to make some operational improvements to their business. Yet, according to most estimates, 75-90% of digital transformations fail and less than 1 in 5 companies have fully extracted value out of their analytics journey. Most organizations fail on the last-mile delivery – in other words, front-line employees and decision-makers are not using the analytics tools and processes as intended, or not using at all.
Over the last decade of leading analytics teams, I have succeeded and failed many times. Below are five lessons learned from these experiences. I hope it can serve as a helpful 10K foot roadmap for nascent or aspiring analytics leaders or seasoned business executives who want to build a sustainable practice that adds real, quantifiable value for their company and its customers.