Over the past decade, I've been deeply immersed in the SaaS community, unraveling what it takes to successfully deliver Desired Outcomes both for customers and the businesses serving the customers. What has become crystal clear is that to be successful in your post-sales motions, you need to have clarity on who your customers are and where they are in the overall customer lifecycle. Easier said than done, especially in today's world where it's not too uncommon for there to be multiple systems that house your customer data (billing, contacts, product usage, etc.). 🎯 My Approach to starting to solve the chaos:Step 1: Check for consistent knowledge about your active customer count across sources to pinpoint inconsistencies.Step 2: Establish a unified customer identifier across all management systems.Step 3: Establish a committee that is made up of different team members from all departments and define critical business rules for customer lifecycle management and engagement, ensuring accuracy before moving to the technical steps.Step 4: Centralize primary customer data in a single database like Snowflake, Databricks, etc.Engineer a model for querying a unified customer data source, ideally within a warehouse (Snowflake, Databricks, etc.).Step 5: Collaborate with finance to validate data accuracy and maintain alignment with defined business rules.Step 6: Utilize visualization tools (Tableau, Looker, etc.) for comprehensive analysis, including cohort performance tracking.Step 7: Enhance insights by integrating additional customer data, like product usage, enabling regression analysis for customer behavior patterns.Let's connect and discuss how we can steer businesses towards greater success by placing the customer and their data at the heart of the journey. 📈