Were you aware of the relevance of data quality to the organization? In the same way that, in today's digital environment, the data is the most valuable asset Even more, working to ensure quality is imperative for companies seeking to achieve their full potential.
The relevance of the quality of the data lies both in its usefulness for carrying out operational processes, as in its value, manifested by ensuring integrity, accuracy and updating of the raw material from which be able to make strategic decisions.
Ideally, data quality should be a priority within an open and flexible organizational culture, based on democratic principles. And it is in this environment where they can turn data into a strategic asset that provides competitive advantages because the quality of the data, On one side, gives them a reliability necessary for the correct operation of the company, although, Besides, it needs complements to achieve its effective liberalization, according to data-driven company model.
The imperative of data quality
Since data is a priority strategic asset in almost any company, data quality projects are necessary. Now more than ever, because big data is a valuable resource that cannot be ignored, guarantee its quality It is a new challenge that represents an added difficulty.
If up to now the quality data were those that were considered correct because they did not have errors, they were organized, well documented and formatted, now these requirements are still essential, adding others. We refer to quality dimensions, among others:
- I complete it
- Consistency
- Precision
- Integrity
- Accordance
At the same time doing a conscientious work in connection with the quality of the data, focusing on its different dimensions, companies that want to get the most out of their data should have Another resources. In particular, three:
1. An open organizational culture.
2. Quality data governance.
· 3. New technologies that make it feasible.
Quality data, key to good governance
At the same time, implement data quality strategies is key to the success of a data management or MDM project consistent with corporate policy, which also responds to migration needs, synchronization and replicationReplication is a fundamental process in biology and science, which refers to the duplication of molecules, cells or genetic information. In the context of DNA, Replication ensures that each daughter cell receives a complete copy of the genetic material during cell division. This mechanism is crucial for growth, Development and maintenance of the organisms, as well as for the transmission of hereditary characteristics in future generations.....
In reality, the relevance of data quality is such that, in practice, the same MDM projects encompass data quality initiatives, your unification or metadata management, always within a data governance as a general framework.
In this stage, quality data reaches its full potential, become an essential raw material to operate on a day-to-day basis and base critical decisions on reliable and timely information.
The ultimate goal is none other than freeing up the data to extract its full potential, a challenge to work on data quality from a broad point of view it is necessary. Especially, taking into account the current business context, marked by the enormous challenges posed by the digital age, but at the same time, open to an inexhaustible source of great possibilities.
Is the quality of the data recognized the relevance it deserves in your company?
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