![]() ![]() With a data governance strategy, developers don’t need to worry about handing over data to the correct teams because the process is automated.Īs all organizations become increasingly data-driven, a successful data governance strategy is not a roadblock, rather it accelerates productivity and streamlines data processes. ![]() Without a data governance strategy, it is the responsibility of the development team to make sure the data is protected and in the hands of the appropriate decision makers. While developers may think achieving data governance is a roadblock for their teams, it actually lifts a weight off their shoulders. Through open source tools within an organization, the teams can collaborate across data sets to better understand data and its value. Step five, collaborate on data: Now that the unified data strategy has been solidified, different business units can collaborate to make better and more strategic decisions, resulting in significant business impact. Policies should be allied as API’s whenever data is called for access or movement. Applying policies proactively is required in order for governance to be an enabler. All the previous steps were necessary to enable this. Creation of a codified catalog of policies allows for the proactive application of data policies. This will create a single data governance policy for your organization. Step four, catalogue and convert policies into code: Once data policies have been identified and employees assigned access to proper data sets, create a data policy catalogue and convert rules to code in order to automate processes. If data cannot be moved to another country due to differing data policies, be sure international employees do not have access. Step three, determine the policies associated with each piece of data: After determining who has access to what data, define the various policies associated with each data set. For example, the finance team will need to have access to data on year over year company growth so they can plan budgets accordingly. Determining this will depend on the employee’s role, department, level and other factors. Step two, identify who has access to what data: Develop a data hierarchy within your organization so each employee has access to the data set they need to excel at their job. It can take up to six months to complete this process, but the end result is worth the time invested because identifying the risk associated with each piece of data is critical to compliance. Step one, classify your data: In order to prevent legal ramifications that come with misrepresenting data, it is essential to properly classify all data within your organization. So how does one get started on a successful data governance strategy? The five step program for a unified data strategy By classifying data based on type, level of risk, etc., an organization can unleash the potential of its data in a safe and compliant manner. This is why data governance is so important to the CDO - it's their job to ensure each stakeholder has the data they need to make better business decisions. ![]()
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