Do you know the distinctions in between information governance and data management? Find out more about the terms and their definitions in this convenient guide.
Image: Gorodenkoff/Adobe Stock One of the specifying functions of a successful service is how well its leaders comprehend and use data to produce worth for their staff members and customers. With the unprecedented amount of data that is becoming available to organizations, it is essential for them to use as much of this data as possible to gain a competitive advantage.
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When it comes to optimizing information for service usage, some information terms and functions are utilized rather interchangeably. Data management and data governance are examples of this, though the two data techniques serve distinct business goals. In this short article, we highlight the significance of these terms, their value, and some of their key resemblances and distinctions.
What is information management?
Information management is the practice of gathering, organizing, safeguarding, sharing and storing information so it can be evaluated for business decisions. It helps improve data scalability, exposure, security and dependability. With the vast amount of data readily available to companies, it has ended up being essential for companies to use information management to produce optimum value from the data offered to them.
Although data management is generally considered an IT department’s obligation, all company users play a crucial function in data quality efforts when they follow information management policies and treatments.
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One of the primary advantages of a well-designed information management system is that it eliminates siloed subsystems in an organization and allows for much better information circulation across service systems. This helps the general functional performance of the company and enables more agile decision-making.
Information management is a sweeping principle in information method that covers numerous more specific data practices, consisting of data architecture, data modeling, security, data governance, data brochures and more. Information management options are developed to handle increased information volume, deal analytics tools and meet compliance requirements.
What is data governance?
Data governance is a discipline of information management. It ensures that data is high quality by making it secure, available, usable and constant. Among the main goals of information governance is to create consistency in between data across different service units. Another goal is to guarantee information is utilized properly through the implementation of information governance policies and procedures.
IT departments that are held responsible for information management are normally responsible for concentrated data governance efforts by default. Comparable to data management as an entire, information governance is not the sole obligation of the IT department. An organization can have various individuals or groups play the role of data stewards in their organizational structure.
While information governance requires stakeholders from various organization units, a company needs to still consider having actually dedicated groups and individuals with supreme responsibility over information governance initiatives. Some companies have a chief data officer, an information governance manager, information stewards, or an information governance committee to lead data governance policies and practices.
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New regulative compliance requirements, especially associated to data personal privacy requirements, are a big reason that data governance has ended up being progressively essential to companies.
How is data governance various from information management?
The key distinction in between information governance and information management is that data governance is a specialization that falls under the data management umbrella. Information governance assists specify the procedures and policies for how information will be utilized and saved. Data management is the overarching framework in which these policies and procedures are executed and carried out alongside other important information initiatives.
Another crucial distinction between these two terms is information management is typically managed by technology and having the best information management toolset in location. Although information governance relies rather on the tools that data professionals utilize, successful information governance focuses more greatly on method and planning.
Do data governance and data management ever collaborate?
Not only can information governance and data management interact, however they should be utilized together to derive the most valuable organization insights from data. For an organization to have a successful information management system, it should also have correct data governance policies and procedures in location to assist data decisions and use.
Both data governance and data management are necessary elements of organizational information method. For these two functions to collaborate, it’s important for leaders to construct a company culture in which stakeholders comprehend and value the power of accurate, ethical information.
Data governance can be thought of as the plan to construct a structure, while data management is the construction of that building. The complete information management lifecycle is what assists drive business results for the company.
Data governance tools are a crucial piece of a company’s information management tech stack. Find out about the leading information governance tools here.