The main difference between Data Governance and Data Management is that the data governance is the data management that ensures the quality of data throughout its lifecycle, while data management is the process of handling data as a valuable resource.
Generally, data is important for small scale to enterprise level business organizations. Data becomes meaningful information after processing. And, the senior management of the organizations use these information to take informed future decisions to increase productivity and profit. Moreover, the business organizations also use data governance and data management to handle data effectively.
Key Areas Covered
1. What is Data Governance
2. What is Data Management
3. Difference Between Data Governance and Data Management
-Comparison of key differences
Big Data, Business Intelligence, Data Governance, Data Management, Data Warehousing, Metadata
What is Data Governance
Data governance is a data management to maintain high quality of the data. Mainly, it focuses on availability, usability, integrity, consistency and security of data of the enterprise. Also, it establishes processes to ensure the quality of the data for the use of all the parities of an organization. Furthermore, the data steward role is used to determine whether the data governance process followed improves the data governance. Thereby, organizations create new guidelines to ensure data governance.
Overall, data governance helps to increase data consistency and trustworthy. Furthermore, it allows the organizations to make valuable business decisions, optimize operations, and increase profits and to provide new products and services to the customers.
What is Data Management
Data Management is the process of managing data as a valuable resource. It reflects in many fields such as accounting, statistics, logical planning and other disciplines. Effective data management is connected with compliance regulations. Moreover, approaches to data management apply throughout the data life cycle, including data creation, storage, processing, obtaining and even in data elimination.
Besides, there are various types of data management techniques. One method is to link all the important and critical data to one file called a master file. Moreover, data management professionals are finding methods to monetize corporate data by process streamlining, improving existing products and data selling. Also, with the number of business processes and the functionalities, the amount of data has increased. Thus, the large quantity of massive data is called Big Data. Frameworks such as Hadoop and Spark are used to support the increasing volumes and for real time processing of data.
Difference Between Data Governance and Data Management
Data governance is a decision making, monitoring, and enforcement body that has authority over an organization’s data management. On the other hand, data management is the process of controlling data architecture, quality, security, policy, practices and procedures. Thus, this is the main difference between data governance and data management.
Data governance is the strategy of data, whereas data management is the logistics of data. Hence, this is another difference between data governance and data management.
The functionality also makes a difference between data governance and data management. Data governance involves establishing processes, practices and theories, while data management involves collecting, validating, storing, organizing, protecting, processing and maintaining data.
Data governance focuses on the safety, reliability and trustworthiness of data. On the other hand, data Management focuses on making data valuable. Thus, this is also an important difference between data governance and data management.
Generally, data is valuable to every business organization. Therefore, organizations, to maximize the use of available data, utilize data governance and data management. The main difference between data governance and data management is that data governance is data management for ensuring the quality of data throughout its life cycle, while data management is the process of handling data as a valuable resource. In brief, data management includes data governance, data architecture, quality management, data warehousing, business intelligence, metadata management, and data security.
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3.“Data Governance.” Wikipedia, Wikimedia Foundation, 12 May 2019, Available here.
4.“What Is Data Governance (DG)? – Definition from WhatIs.com.” SearchDataManagement, Available here.
1.”2158454″ via Pixabay