The high cost of data inconsistency

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The high cost of data inconsistency translates into numerous problems when managing information of the company, on the other hand the main asset of the same. In this article we will review some of the costs derived from this inconsistency, one of the dimensions of data quality that is essential to address to have quality information.

Redundancy often goes hand in hand with the inconsistency of the data and its silo insulation is one of its most common causes. Specifically, when the files in which we store the information are created using different types of programs, increase the chances of duplicate information emerging.

Unless, of course, be closely monitored, mainly through integration projects, among other data quality initiatives. Opposite case, redundancy and inconsistency (different copies of the same data that do not match) result in a serious obstacle.

Both increasing the costs of storage and access to data and the consequences of the data that has a poor quality to serve in the day-to-day operating environment and also in making critical decisions.

This increases data access and storage costs and can lead to the aforementioned data inconsistency.. In other words, different copies of the same data that do not agree with each other will begin to proliferate. As an example, as a result of an update of a customer's data that in conclusion ends up being partial, because it is not updated globally, but only in a series of files, with what in the rest will be the previous version.

Conversely, avoid the risk of inconsistencies means having consistent data, so any update is done only once, which makes it immediately for all users. in addition, in the event that the system detects duplicate data, redundancy can be corrected to ensure that copies are consistent.

The High Costs of Data Inconsistency

Given the not all redundant copies match, inevitably, equally different responses occur, that suffer from inconsistencies. A) Yes, redundancy of uncontrolled data triggers the risk of inconsistencies, and both these and these involve high costs due to their inefficiency, whether at the purely technological or operational management level.

Without forgetting the damages caused by the poor quality of the data in the proper functioning of the company and, in summary, the decrease it causes in turnover. Specifically, these are some of the main costs of data inconsistency:

  • Increased storage costs.
  • Data access costs also increase.
  • Sales are affected as a result of inaccurate data that can interfere, hinder or even prevent.
  • Poor quality of real-time analyses and in addition to those carried out subsequently.
  • The consequences of bad decisions based on bad information.

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