Data governance has become a hot topic for businesses around the world now. When we hear about data governance, we also hear about data management with it as well. Before knowing the difference between the data management and the data governance, lets learn a little bit about both of them individually first.
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What is Data Management?
Data management is an administrative process which includes acquiring, storing, protecting, validating and processing the required data to ensure that the accessibility, reliability and the timelessness of the data for their users. Businesses or organizations are making some big use of the data more than ever before.
They use the data for their business decisions and also to gain some deep insights about the customer behavior, latest trends as well as the opportunities for creating the extraordinary customer experiences. The solutions of the data management help the business to process, validate and some other essential functions to make the data simple and less time-sensitive as well.
What is Data Governance?
Data Governance is a term which is being used on both the macro level as well as the micro level. Basically, data governance is a broad category which includes the internal politics and the procedures for controlling the management of data. The data governance ensure that the data is secured, documented, managed, audited and trustworthy for the organization.
In simple words, the data governance means that the organizations or the businesses have high quality of data management through all the phases of the data lifecycle. Data governance leads the enterprise to have improved data quality, increased access to the data for all the stakeholders and the decreased data management costs.
Data Management vs Data Governance:
The data management and the data governance are two different entities, but both of their goals are the same. They both want to create a solid and trustworthy data foundation to empower the smartest people in the business or enterprise or organization, to do their best work. Below mentioned are some of the key differences between data management and data governance:
| Data Management | Data Governance |
| Data management is basically the implementation of the architectures, tools and the processes to achieve the stated data governance objectives. | Data governance defines how the data is accessed and treated by the enterprise within a broader data management strategy. |
| The policies and procedures of the data management are required to ensure that the data is collected, organized, structured and stored in an appropriate way. | The data governance is an important component in any of the corporate data management strategy but the data governance cannot work in isolation. |
| Data Management deals with the cleansing & standardization, masking & encryption, and archiving & deletion of the data which is collected by the enterprise. | Data governance deals with the people, policies and rules, and the metrics of a business or organization. |
| Data management does the execution and enforcement of policies and processes for the data governance. | Without the implementation of the data governance, it only a documentation for the enterprise. |
| For example, data management is the actual construction of the building. | For example, data governance is like a blueprint of a building. |
