How are you developing the data literacy of your organization, including the skills of your data teams and of your business stakeholders?
We are strategically enhancing our organization’s data literacy through two pivotal initiatives. First, we are modernizing our Cloud Data Warehouse to transform the current landscape of reports into a library of certified sources, customized for role-based consumption. These reports will be constructed with standardized metrics and curated data products, overseen by joint business and IT committees to ensure governance, simplicity, and quality.
Second, our focus is on shifting from accumulating more data to generating actionable insights. For instance, we are transitioning from an overwhelming scorecard of customer health metrics to an ML-based churn score. This move aims to prompt appropriate actions by our sellers with enough lead time for meaningful interventions.
Our guiding principle is that fewer, yet more credible and forward-looking indicators will foster the agility necessary to capture market share. Internally, we are dedicated to strengthening our core data science capabilities and fostering deep collaboration. Our mission is not only to act as analytic translators – transforming business problems into mathematical challenges – but also to assist stakeholders in interpreting our analytic outputs.