The implementation of the new RGPD regulations and the introduction of laws protecting privacy are leading companies to integrate the notion of accuracy of stored data, in addition to guaranteeing its security. A mistake or error in implementing these strategies can result in heavy fines for the company.
How to define data integrity
The accuracy, consistency and completeness of the data are the elements that go to make up the integrity of the data. Integrity must also take account of standards or other rules laid down by legislation, by proposing and implementing precise processes.
At the heart of data integrity lies data quality.
In fact, the primary objective of data integrity is to ensure and guarantee data quality, thus enriching your database.
Your actions arising from the use of your database will be all the more reliable and profitable for having a complete, correctly identified and stable stock of data.
The importance of data integrity
Data integrity benefits your organization in a number of ways:
Data integrity must therefore be considered in its entirety, not just as a legislative constraint, but as a real asset for your company.
Data integrity assessment
Several measurable indicators can be used to assess the level of data integrity within your systems. This level of integrity will provide a complete snapshot of your databases, their level of quality and their usefulness. These indicators include :
- An exhaustive database: have a complete set of data on your business
- Data standardization: each type of data must be collected in the same way, and recorded in the same format, regardless of the collection point. A telephone number must always be recorded in the same way.
- Data freshness: collect data at the right time for short-term use. Avoid basing your decisions on data that is several years old.
Data security, integrity and quality: contradictory concepts?
Security, quality and data integrity are all part of the same package. One cannot exist without the other, and to think that the company can separate itself from one of them would be damaging.
Data integrity will impact the quality of your data by ensuring that there are no duplicates in your system. However, the absence of duplicates does not guarantee the veracity of the data recorded.
Protecting your data against malicious acts, or securing your data, enables you to maintain data integrity.
The success and profitability of strategic decision-making (marketing, sales, IT, product) depend on the integrity and quality of the data collected. Maintaining this integrity is a demanding, day-to-day task for which Data Enso provides support.
We propose to become your partner in your data reliability processes by implementing one of our Data Quality Management solutions.
Our validation, verification and enrichment solutions can be integrated into your collection tools both in real time(preventive mode) and in batch processing(curative mode).