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Public sector data strategies are distinct from private sector ones, as they focus on achieving social and policy goals rather than profit. Data leaders brought together experienced data practitioners from the Public Sector to advise a client who is navigating a crucial phase of its data strategy execution on, among others, best practices and approaches to overcoming leadership resistance hindering the successful implementation of their data strategy.

The discussion highlighted that, in Public Sector bodies, leadership resistance to data is not always due to a lack of data literacy. While some stakeholders may be data-fluent, they often work autonomously and resist adopting a centralised data strategy. In this context, data leaders emphasised the importance of explaining that a central framework won’t strip them of control over their data but will enhance overall efficiency and alignment with organisational goals.

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The following tried-and-tested strategies were recommended by a selected group of experienced data leaders from the Public Sector to overcome leadership resistance, achieving successful execution of a unified data strategy across the organisation:

1. Start with the Most Significant Pain Points

To gain leadership support, data leaders must address the most pressing concerns of senior executives. By focusing on these critical issues, data teams can showcase the value of data in solving real problems, making it easier to secure buy-in for the data strategy.

2. Adopt Strategic Vocabulary

Data leaders recommended using a strategic vocabulary that emphasises “data acumen” over “data literacy.” This approach helps frame the conversation around how data can advance strategic initiatives and highlight executives’ successes, fostering a more positive attitude towards the data strategy.

3. Use Storytelling

Storytelling was highlighted as a powerful tool to overcome resistance. By crafting compelling narratives illustrating the challenges stakeholders face under the current system, data leaders can demonstrate the need for change. For example, showing how a stakeholder struggles with inefficiencies can make the case for adopting a more streamlined data strategy.

4. Integrate Data and Information Strategies

Another critical tactic was expanding the scope from a pure data strategy to a combined data and information strategy. By integrating data with other forms of information, such as policy papers and scientific reports, organisations can meet the diverse needs of their stakeholders, fostering broader adoption of the strategy.

5. Leverage Risk Management

Focusing on risk management is an effective defence against resistance. Data leaders pointed out that highlighting how a robust data strategy can mitigate risks—like inconsistent definitions and data gaps—can help secure leadership support. Presenting audit findings that show the consequences of a lack of standardisation can further emphasise the need for a unified data strategy.

Achieve Successful Execution of Data Strategy

By following these steps, data leaders can achieve buy-in from leadership, leading to better policy outcomes, streamlined operations, and improved stakeholder satisfaction.

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