Government data strategies are evolving to enhance decision-making and public service delivery through improved role-based data sharing and data re-use, yet challenges persist due to departmental silos and privacy compliance. A hypothetical state government scenario illustrates how key stakeholders such as line of business departments, IT teams, and data science resources can collaborate to address these challenges. Using tools like Elastic's data classification and normalization methods, data can be tagged and organized into a common schema, facilitating compliant data sharing across departments. This approach allows for role-based access and field-level document control, ensuring that sensitive information remains protected while enabling efficient data analysis across different clusters. The Elastic platform not only supports day-to-day IT and security operations but also aids in long-term data analytics by allowing data science teams to perform trend modeling through accessible historical data. Despite the complexities of inter-departmental data sharing, Elastic offers solutions to navigate these challenges, ensuring that government data stakeholders remain aligned and informed.