Quality data management is a strategic asset
Posted: Tue Jan 21, 2025 5:48 am
Improving the quality of an organization's data and its subsequent maintenance is a fundamental part of a Big Data strategy. Not in vain,
Improving the quality of an organization's data and its subsequent maintenance is a fundamental part of a Big Data strategy . Not in vain, optimizing data management allows for obtaining an important competitive advantage.
Managing high-quality data provides richer and more agile analysis, since it is carried out using reliable and valuable information for the organization, in addition to providing the advantages of speed and agility in obtaining it.
Challenges and solutions
The constant growth of all kinds of data arriving through very fusion database channels, such as social networks, data centers or call centers, can become a real scourge for the company or, through excellent data management, the opposite, revealing itself as a great opportunity to transform them into brilliant ideas .
Streamlining business processes by achieving data quality therefore requires addressing a series of challenges:
inaccurate or inaccurate data
data overload
problems in its government and administration
ineffective IT systems ,
data fragmentation
other similar problems.
Data quality as an essential part of MDM
Solutions require the implementation of new infrastructures and methodologies that adapt to the new big data environment . Depending on the needs of each business, it will be necessary to find specific answers for data integration or migration and to resort to emerging technologies - cloud computing, open source platforms such as Hadoop and many others - among other tools that optimize the management of their data.
In short, it is about responding to business needs in order to convert data management into a strategic asset that serves the desired objective, whether it refers to the structure of the organization itself, its security or the quality of the information.
Improving the quality of an organization's data and its subsequent maintenance is a fundamental part of a Big Data strategy . Not in vain, optimizing data management allows for obtaining an important competitive advantage.
Managing high-quality data provides richer and more agile analysis, since it is carried out using reliable and valuable information for the organization, in addition to providing the advantages of speed and agility in obtaining it.
Challenges and solutions
The constant growth of all kinds of data arriving through very fusion database channels, such as social networks, data centers or call centers, can become a real scourge for the company or, through excellent data management, the opposite, revealing itself as a great opportunity to transform them into brilliant ideas .
Streamlining business processes by achieving data quality therefore requires addressing a series of challenges:
inaccurate or inaccurate data
data overload
problems in its government and administration
ineffective IT systems ,
data fragmentation
other similar problems.
Data quality as an essential part of MDM
Solutions require the implementation of new infrastructures and methodologies that adapt to the new big data environment . Depending on the needs of each business, it will be necessary to find specific answers for data integration or migration and to resort to emerging technologies - cloud computing, open source platforms such as Hadoop and many others - among other tools that optimize the management of their data.
In short, it is about responding to business needs in order to convert data management into a strategic asset that serves the desired objective, whether it refers to the structure of the organization itself, its security or the quality of the information.