Data democratization: information accessible to users
Posted: Wed Jan 22, 2025 6:02 am
Learn how data democratization impacts different areas of an organization by providing a 360 view of the business.
Democratising access to information can have a profound impact on the different areas of an organisation. That is why when planning how a company handles data, it is necessary to define access rules that allow for a good experience and a 360-degree view of the business.
Those responsible for data-driven companies know that they need to work with reliable, up-to-date and authorised data for each area. However, in practice it is often difficult to recognise the context of the car owner database and make good decisions because situations of mistrust arise from misuse or poor policy when it comes to segmenting and defining access. So how can we move towards a model of intelligent and organised use of data? Mainly by increasing the value of trust.
When we implement correct data democratization, these things happen in practice:
Data users find the most reliable and relevant information.
Efficiency is generated in data management , delivering information directly to the analysis tools chosen by business users.
Proper monitoring of data access and privacy requirements is maintained.
Data is easily reused, optimizing the user experience of all information.
Remember that organizing relevant data into categories improves the experience of exploring and understanding information. That is why it is necessary to have an efficient tool that allows you to explore, search for relevant data assets to analyze and extract data sets that fit the needs of each area at any given time.
You may be interested in reading:
How to protect customer information with data governance?
At PowerData we offer solutions that allow:
That data owners receive automatic notification of who is making requests, in order to decide whether or not to approve their entry.
Data owners can leverage automated provisioning capabilities along with cloud data integration to deliver approved data directly to consumer needs.
Data governance teams should have frequently requested data and metadata packages ready with business context to easily reuse and maximize the return on business value of that data.
What are the steps to successfully achieve data democratization?
Map data sources: to know exactly where each piece of data comes from and collaborate in the process of trust and creation of internal rules for using that information.
Assign responsibilities: Considering data privacy, ethics and other risks related to data democratization is essential so that more employees can access it, but all of them know to what extent and what type of use they can make of the information. For this, personal identification (PII) is an essential tool.
Unify: Another step is to develop a middleware strategy that allows us to unify attributes from multiple sources. Depending on the technology of each company, it will be possible to decide how to draw up an optimal strategy to unify data and ensure that the different teams in the company have access to it.
Democratising access to information can have a profound impact on the different areas of an organisation. That is why when planning how a company handles data, it is necessary to define access rules that allow for a good experience and a 360-degree view of the business.
Those responsible for data-driven companies know that they need to work with reliable, up-to-date and authorised data for each area. However, in practice it is often difficult to recognise the context of the car owner database and make good decisions because situations of mistrust arise from misuse or poor policy when it comes to segmenting and defining access. So how can we move towards a model of intelligent and organised use of data? Mainly by increasing the value of trust.
When we implement correct data democratization, these things happen in practice:
Data users find the most reliable and relevant information.
Efficiency is generated in data management , delivering information directly to the analysis tools chosen by business users.
Proper monitoring of data access and privacy requirements is maintained.
Data is easily reused, optimizing the user experience of all information.
Remember that organizing relevant data into categories improves the experience of exploring and understanding information. That is why it is necessary to have an efficient tool that allows you to explore, search for relevant data assets to analyze and extract data sets that fit the needs of each area at any given time.
You may be interested in reading:
How to protect customer information with data governance?
At PowerData we offer solutions that allow:
That data owners receive automatic notification of who is making requests, in order to decide whether or not to approve their entry.
Data owners can leverage automated provisioning capabilities along with cloud data integration to deliver approved data directly to consumer needs.
Data governance teams should have frequently requested data and metadata packages ready with business context to easily reuse and maximize the return on business value of that data.
What are the steps to successfully achieve data democratization?
Map data sources: to know exactly where each piece of data comes from and collaborate in the process of trust and creation of internal rules for using that information.
Assign responsibilities: Considering data privacy, ethics and other risks related to data democratization is essential so that more employees can access it, but all of them know to what extent and what type of use they can make of the information. For this, personal identification (PII) is an essential tool.
Unify: Another step is to develop a middleware strategy that allows us to unify attributes from multiple sources. Depending on the technology of each company, it will be possible to decide how to draw up an optimal strategy to unify data and ensure that the different teams in the company have access to it.