T H E E D G E

Carl D’ Halluin, CTO, Datadobi

All of these factors make an important contribution towards good governance.

4. Operationalise data strategy to embed it into business culture

On an operational and cultural level, businesses must focus on practical execution and ensuring that data policies, technologies, and governance frameworks translate into day-to-day operational success. Ideally, data from disparate sources will be integrated so users have a unified view that facilitates effective decision-making, such as the links between customer trends, inventory and finances.

With the appropriate data hardware and software systems in place, organisations can then set out the methods required to ensure data is accurate, organised and subject to proper governance.

This provides a trusted foundation on which to build a data culture and where each stakeholder can be confident that the data they access and use is reliable, secure and fit for purpose. This confidence enables teams to make data-driven decisions, innovate with analytics and derive meaningful insights that support the underlying business objectives.

5. Future-proof infrastructure and processes

Data management should also be future-proof and integrate seamlessly with evolving business applications. By taking a modular approach, for example, businesses can scale specific components independently, ensuring flexibility and built-in adaptability to changing data management needs and emerging technologies.

This approach also ensures interoperability across diverse storage environments, preventing vendor lock-in and enabling businesses to adapt to future data growth without disruption. Additionally, embedding automation and AI-driven data governance can enhance operational efficiency, proactively addressing security risks and compliance requirements as the regulatory landscape inevitably evolves even further.

Each of these components shares the requirement for effective, affordable and high-performance data management technologies. With these capabilities in place, businesses can move forward with high levels of confidence in their approach to data management no matter what the future brings. �

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