Organizing a company’s or portfolio’s data is a very important issue and sometimes a difficult one to face.
Are there any typical guidelines for accomplishing this? With software like Egon, you are not alone in this. Keep reading to find out how to deal with data validation!
Nobody questions what a database is for: it is the system to organize your stock and corporation data. Data validation is a practice that is immediately suggested as a tool to organize your company information even better and get rid of the redundancy in the database. Data validation is thus a process of refinement after an initial exercise of identifying the data objects that should be in the relational database, identifying their relationships, and defining the required tables and columns within each table.
This technique allows you to have more regular and clean databases, decreasing their dimension and streamlining the system so that the product data is more simple to trace, associate, and reclaim.
Why sometimes companies don’t actually run this validation?
It is true that data validation requires an investment in time and effort, but what is also true is that it is worth facing a data validation normalization process to save further glitches that can arise later, problems that you don’t have now but will have to be addressed sooner or later in your company’s life.
It may seem unclear what data validation is actually for; here you have a recap of the purposes of database validation:
- Avoiding the creation and updating of unwanted relationships and dependencies between data.
- Decrease complexity when new data must be added.
- Prevent unwanted data erasures.
- Augment storage space.
- Correcting duplicate data and database irregularities.
- Reduce database review time.
- Facilitate access and reading of files for employers and applications that use it.
What are thus the benefits of data validation?
Let’s start from data consistency: data reliability is augmented for all parties opening the databases, and there is greater reliability in the material saved. You avoid storing outdated versions, finding duplicate data in different parts of the business, and other types of connections between product information, without a strong order.
Another key gain of data validation, besides from the surplus removal, is the scheme of data veracity that visibly shows how information from diverse counters conveys to each other. This makes it easier to identify data relationships and correct any isolation or discrepancy of data in the product catalog.
A database validation process is indispensable also to be able to use any data administration structure, such as product information management. With a good organization, adopting this arrangement is quicker and simpler, and you can easily connect to company data foundations without interruptions or the necessity of precise synchronization difficulties.
From the security point of view, it is increased, as validation makes data more accurate.
Last but not least, It is much easier to preserve data you previously have collected and sorted it with the latest add-ons.
To make sure you have total control over your data, reorder your data in one spot with Egon software: it is available in over 250 countries around the world and is able to return translated and encoded data to you in the target language of your choice. Sign up now to access the online trial version and find out how to clean your data accurately!