10 keys to achieving effective Data Governance for your business
Posted: Wed Jan 22, 2025 7:10 am
In this post we summarize the ten key points you need to take into account to build effective Data Governance for your business.
Sep 26, 2022
Comprehensive data processing is the only way to ensure the performance, quality, sustainability and scalability of IT systems and, ultimately, of the business. To achieve this, it is necessary to achieve effective data governance : reliable and secure data that reduces operating costs and provides strategic value to ultimately promote the growth of the organization with a greater understanding of the business and the market. Let's see how to achieve this below.
Hence the importance of effective Data Governance, as it plays an vnpay database role within the company and externally:
Sets the parameters for the management and use of data.
Create processes to resolve data problems.
It enables business users to make decisions based on high-quality data and well-managed information assets.
Ensures the privacy and confidentiality of customer information.
For data governance to be truly effective, we need to take a holistic approach that enables the coordination of the different elements of the organization involved in it, including personnel, processes, standards and technology.
Most Americans feel they have little control over the information that companies and the government have about them.
Source: Pew Research Center
Ten aspects for effective Data Governance
Within this global approach, the development of a governance program has numerous aspects or points to take into account. Not in vain, data governance is oriented to the needs of the business, focusing on operations, business processes and interactions as well as on achieving measurable results.
Rather than focusing on data to optimize its management in a specific way, the objective is to give it the appropriate treatment as a business asset to generate the greatest possible return and to guarantee its confidentiality and security. Thus, when governing data, it is key to approach it from a broader perspective, which integrates the entire organization, as well as users and clients.
Taking into account the following ten aspects, which complement each other, we will achieve effective data governance:
Vision and business model of value: it is important to establish an aspirational vision as a reference point for what the business wants to achieve, as well as to build a data governance program. It is key to define a business case or business model adapted to the needs of the organization. Both points will be a first step towards effective data governance. Since the project adds value to the organization, the investment must be perfectly defined from the beginning.
Sep 26, 2022
Comprehensive data processing is the only way to ensure the performance, quality, sustainability and scalability of IT systems and, ultimately, of the business. To achieve this, it is necessary to achieve effective data governance : reliable and secure data that reduces operating costs and provides strategic value to ultimately promote the growth of the organization with a greater understanding of the business and the market. Let's see how to achieve this below.
Hence the importance of effective Data Governance, as it plays an vnpay database role within the company and externally:
Sets the parameters for the management and use of data.
Create processes to resolve data problems.
It enables business users to make decisions based on high-quality data and well-managed information assets.
Ensures the privacy and confidentiality of customer information.
For data governance to be truly effective, we need to take a holistic approach that enables the coordination of the different elements of the organization involved in it, including personnel, processes, standards and technology.
Most Americans feel they have little control over the information that companies and the government have about them.
Source: Pew Research Center
Ten aspects for effective Data Governance
Within this global approach, the development of a governance program has numerous aspects or points to take into account. Not in vain, data governance is oriented to the needs of the business, focusing on operations, business processes and interactions as well as on achieving measurable results.
Rather than focusing on data to optimize its management in a specific way, the objective is to give it the appropriate treatment as a business asset to generate the greatest possible return and to guarantee its confidentiality and security. Thus, when governing data, it is key to approach it from a broader perspective, which integrates the entire organization, as well as users and clients.
Taking into account the following ten aspects, which complement each other, we will achieve effective data governance:
Vision and business model of value: it is important to establish an aspirational vision as a reference point for what the business wants to achieve, as well as to build a data governance program. It is key to define a business case or business model adapted to the needs of the organization. Both points will be a first step towards effective data governance. Since the project adds value to the organization, the investment must be perfectly defined from the beginning.