The potential of AI for personalized marketing, accurate inventory forecasts, and efficient service retention is significant. However, a staggering number of AI investments fail due to underlying data issues rather than the software itself. Before adopting AI, dealers should address three essential data pillars: Plumbing, Hygiene, and Governance.
Plumbing focuses on data integration to resolve the Silo Problem, where fragmented customer data hinders AI’s ability to generate actionable insights. Establishing a central Data Warehouse ensures a unified customer view.
Hygiene addresses data quality, identifying and resolving duplicates and outdated information through Identity Resolution. This creates a Single Customer View, enabling effective marketing and enhancing customer experience.
Governance safeguards data security and compliance with legal standards, preventing unauthorized access and mitigating risks. By enforcing strict access controls and adhering to regulations, dealerships can secure their data and maintain their reputation.
Investing in these pillars is crucial for maximizing the benefits of AI, transforming data into a valuable asset for dealerships.
