Data quality: how data quality affects your company's results
Posted: Tue Jan 21, 2025 5:34 am
In this post we discuss the importance of data quality to maximize its use, as well as the dangers of poor data quality.
Data is one of the company's main assets. Therefore, data quality or data quality management is a priority , meaning the achievement and maintenance of accurate, consistent and complete data.
Optimal data is data that is functional in meeting the company's needs at an operational and strategic level. To achieve this, the data must be reliable and timely, which means, in addition to being accurate, consistent and complete, being correctly interrelated and providing a unified view.
Implementing a data quality initiative logically involves carrying out a data quality strategy that includes applying quality at different points in the process. Regardless of the services, methodologies and tools used, the ultimate goal will be none other than data quality.
Data quality as an essential part of MDM
Data quality: The importance of data quality
"Organizations that do not understand the overwhelming moj database of data and information management as a tangible asset will not survive the new economy," reminds us Tom Peters, business management guru.
The competitive needs of organizations, in fact, clearly explain the importance of data quality. Indeed, data quality can determine the success or failure of an organization.
It is an increasingly big problem, as the lack of data quality deteriorates data and leads to serious management problems and non-compliance with regulations. With data quality initiatives to correct it, in addition to solving them, we obtain a competitive advantage.
A substantial improvement in business results
Companies suffering from data quality problems do not have reliable information, with all the implications that this has at all levels. Because, as is easy to deduce, the problems do not only occur internally.
Data is one of the company's main assets. Therefore, data quality or data quality management is a priority , meaning the achievement and maintenance of accurate, consistent and complete data.
Optimal data is data that is functional in meeting the company's needs at an operational and strategic level. To achieve this, the data must be reliable and timely, which means, in addition to being accurate, consistent and complete, being correctly interrelated and providing a unified view.
Implementing a data quality initiative logically involves carrying out a data quality strategy that includes applying quality at different points in the process. Regardless of the services, methodologies and tools used, the ultimate goal will be none other than data quality.
Data quality as an essential part of MDM
Data quality: The importance of data quality
"Organizations that do not understand the overwhelming moj database of data and information management as a tangible asset will not survive the new economy," reminds us Tom Peters, business management guru.
The competitive needs of organizations, in fact, clearly explain the importance of data quality. Indeed, data quality can determine the success or failure of an organization.
It is an increasingly big problem, as the lack of data quality deteriorates data and leads to serious management problems and non-compliance with regulations. With data quality initiatives to correct it, in addition to solving them, we obtain a competitive advantage.
A substantial improvement in business results
Companies suffering from data quality problems do not have reliable information, with all the implications that this has at all levels. Because, as is easy to deduce, the problems do not only occur internally.