There are several ways in which data quality issues may affect the conception procedure of a Solution analyticsAnalytics refers to the process of collecting, Measure and analyze data to gain valuable insights that facilitate decision-making. In various fields, like business, Health and sport, Analytics Can Identify Patterns and Trends, Optimize processes and improve results. The use of advanced tools and statistical techniques is essential to transform data into applicable and strategic knowledge.... de Business Intelligence and each of them would be related to a different quality of the data included within the concept of integrity.
Internal data integrity
This condition would be reflected in referential type problems within databases, In other words, in the way the data fits.
– Practical example: could be caused problems with the integrity of internal data if a business unit was removed from the system, but the contacts it includes were not deleted at the same time. In this circumstance, contacts would become “orphans” when they lose all ties with the business entity that created them.
– Trouble: depending on the type of analysis being performed, such a situation could lead to certain problems in the information study.
– Solution: the policies that are developed and implemented from the Governance data they are in charge of guaranteeing this data integrity.
External data integrity
The external data integrity It's about the data consistency between heterogeneous systems.
– Practical example: and merge the data between Sales, where the XYZ client is located, and Accounting, where the same client has been registered as XYZ SA.
– Trouble: does not exist match after merging data supposedly “identical” between two or more systems.
– Solution: maintain external integrity it means ensure data consistency through the different source applications.
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