Intelligent Fin.tech Issue 29 | Page 69

C H E Q U I N G O U T is stored securely while obsolete data is archived or deleted . All of these factors make an important contribution towards good governance .

C H E Q U I N G O U T is stored securely while obsolete data is archived or deleted . All of these factors make an important contribution towards good governance .

4 . Operationalise data strategy to embed it into business culture
DESPITE ITS IMPORTANCE , THE APPROACH ORGANISATIONS TAKE TO DATA VARIES DRAMATICALLY .
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 futureproof 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 . � www . intelligentfin . tech
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