With the new RGPD regulations and the implementation of privacy laws, companies need to address the accuracy of stored data, in addition to ensuring its security. An error in implementing these strategies can lead to heavy fines for the company.
How do you define data integrity?
Data integrity includes its accuracy, consistency and completeness. Integrity also requires compliance with standards or other rules established by legislation by offering and implementing specific treatments.
The quality of the data is central to data integrity.
The main objective of data integrity is to guarantee the quality of the data, which will enhance your database.
You will be able to perform more reliable and profitable actions with a complete, correctly identified and stable data stock.
The importance of data integrity
Data integrity positively impacts your company in several ways:
Data integrity needs to be considered as a whole, not just as a legislative constraint but as a real asset for your company.
Assessing data integrity
There are several measurable indicators that can be used to assess your level of data integrity in your systems. This level of integrity will provide a complete picture of your databases, its quality level and its usefulness. These indicators include
- A complete database : maintain a complete set of data related to your business
- Data standardization : each type of data should be collected and recorded in the same way regardless of the collection point. A phone number should 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: are they conflicting concepts?
Security, integrity and data quality are part of the same package. They cannot be separated from each other, and it would be damaging for a company to think that it can separate itself from one of them.
Data integrity will have a big impact on the quality of your data by making sure that there is no duplicate data in your system. However, the absence of duplicates does not guarantee the veracity of the recorded data.
Protecting your data from malicious acts or securing the data allows you to maintain data integrity.
The success and profitability of your strategic decisions (marketing, sales, IT, product) depend on the integrity and quality of the data you collect. Maintaining data integrity is a demanding, continuous and daily task which Data Enso can help you with.
We can become your partner in making your data reliable by implementing one of our Data Quality Management solutions.
Our validation, verification and enrichment solutions can be integrated into your collection tools in real time (preventive mode) and in batch processing (curative mode).