![]() ![]() 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. Achieving integrated and unified data governanceĭata can be an organization's biggest asset, but only if it is properly classified and in the hands of the right stakeholders.Developing an integrated cloud strategy.The amount of data available to organizations has skyrocketed in recent years, according to IDC the total amount of data worldwide will hit 180 zettabytes by 2025, and the chief data officer has become a critical member of any organization’s executive team. Gone are the days of data governance applying only to highly regulated industries like healthcare, finance, and government. Yet along with the emerging role of the CDO (chief data officer), integrated and unified data governance is becoming a critical strategy for data-driven organizations. Historically, data governance, the management of data access within an enterprise, has been seen as a time consuming, complex task with minimal long-term value to an organization. ![]()
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