When it comes to data, it is one thing to have it at hand and easily accessible, but quite another to trust it and drive conclusions and decisions from it.
Data integrity means you can trust your data (either related to production, sales, or product) to be genuine, valid, and accurate. Not only when you need and use it, but throughout its lifecycle, from the day it was generated to the moment it reaches the end-user.
It is not always possible (nor easy) to prove the data hasn’t been changed or corrupted in the process. If all you have is a file or a list of data details sent by a colleague to your e-mail, how do you know it represents what you’re looking for and that it is indeed true? If you can’t be sure about it, how can your partners and clients be?
Why should enterprises ensure data integrity?
When data is not 100% reliable, enterprises and organizations can’t use it to draw decisions, improve production processes, or back up their sales efforts. They could come under scrutiny by regulators and even lose partnerships because the data they provide can’t be proven genuine or accurate.
To avoid issues, fines, delays, and wasted resources that come with unreliable information, here is how to improve the integrity of enterprise data.
7 ways to quality data
Quality data is one of the most valuable assets of any digitized organization. By implementing the following measures, you could substantially increase the security and reliability of internal information and subsequently enhance both internal processes as well as external communication with partners and end-users.
1 | Data inspection
Before using or sharing data, it should be checked for accuracy and quality. The inconsistencies in type, format, or context could corrupt its quality and validity. For data to add value to your processes, make sure it’s consistent, complete, and accurate.
2 | Solid back-up
With multiple data centers and silos, the risk of unwanted and unauthorized access to your information is much higher. While it’s impossible to deprive departments of local data storage, it’s essential to implement a rigorous data security system to prevent ransomware attacks and data loss.
3 | Regular clean-up
Often, the same data entry is found in multiple departments, and merging data storage means lots of duplicate data – this could clog your database and increase the risk of data leakage through unforeseen entry points. To prevent cluttering, clean up your data and make it coherent.
4 | Permissions and accessibility review
Data is one of your company’s strongest assets, and not everyone should have access to (all of) it. On the other hand, broad and open access to data should not jeopardize its integrity. Make sure you can monitor who has access to what information and what kind of permissions come with it.
5 | Data protection
There are several ways of protecting your data as it is, and one of the most advanced and unhackable is harnessing blockchain technology, as used in the Authtrail Platform. Once data entry is cryptographically hashed and permanently anchored on the blockchain network, it cannot be altered or deleted retroactively.
6 | Data tracking
To maintain the consistency of data and its validity over time, you should make it traceable and accessible for all interested parties. Blockchain technology prevents data entries from being altered without leaving a footprint, as every change or update is recorded and linked to the original data entry. Every data inscription, as well as subsequent updates, are time-stamped and traceable to its origin.
7 | Shareable integrity
If you want to demonstrate the quality of your process and products to clients and partners, they should get equally reliable data. During transfer and sharing, data integrity could easily be compromised. Using the Authtrail Public Explorer, your trusted data becomes accessible by a third party while retaining the same level of quality and integrity.
Data integrity = higher trust = better business
The management of data could be a daunting task, not to mention checking its authenticity and validity. But this should not be an excuse for negligence, as unreliable data could cost your enterprise both valuable resources and reputation on the market.
The Authtrail Platform ensures data integrity to digitized enterprises while keeping their costs down thanks to scalable and affordable transactions powered by the Moonbeam Network.
Try its main functionalities – adding and verifying data integrity – with the Authtrail Demo and see how quality data could be a game-changer for your business.