Is Data Management Important?

by | Nov 22, 2021 | Data Management

Data management refers to collecting, storing, and effectively using data. Through this, businesses can make more informed decisions when they optimize their data. Data comes from everyday actions from a business’s operations.

This includes sales data, profit data, customer data, employee data, company data, etc. anything recorded in the process of conducting business is data.

This is why managing data is important because it is central to decision-making. As a result, data management is quite diverse and includes the following:

  • Storage of data both onsite and on the cloud.
  • Cleaning data for better organization.
  • Creation of infrastructure for updating the data as needed.
  • Use of data apps and analytics.
  • Archiving data when it’s not in use.
  • Securing the data according to the regulations laid out.
  • Destroying the data as per compliance regulations.

Why is data management important?

Data management is crucial to practical data analysis, and this leads to identifying insights that add value to the company and customers. Here are a few reasons why managing data is important:

 

For visibility

Data management increases the organization’s data assets and makes it easy for people to find and confidently use the correct data for their needs. It also allows the company to become more organized and productive at their jobs.

 

Reliability

Data management helps minimize errors and ensures that policies and processes for building and using data make decision-making easy across the organization.

 

Security

Data management helps protect the company and its employees from loss, breach, and theft of data through encryption and authentication tools. A robust data security system is also vital when the data contains important personal information about the company.

 

Scalability

Data management makes it easy to scale up data usage by ensuring that it is always available and up to date. With repetitive processes, organizations can effectively avoid unnecessary duplication costs, including employees conducting the same kind of research several times.

 

Why is data management important in research?

Research goes hand in hand with data management, and most organizations will maintain data throughout the research process. It is suitable for decision-making and completing the research process. Here’s why managing data is important in research:

  • For planning purposes
  • For the creation of research-related materials.
  • For the research process to be complete.
  • For analysis – this helps produce the research publications, intellectual output, and findings.
  • For preservation – the data will be saved to conform to the curation best practices, discovery metadata, and other user documents.
  • For sharing purposes – once the research is complete, the data used to achieve the conclusions should be easily accessible.
  • For re-use purposes, the data used for research is extremely useful and should be stored to make it easy for reuse.