Introduction
We have probably talked about data catalog several times and how it is important for an organization’s betterment. However, it is as important to talk about the mistakes people make while handling or selecting the right data catalog for their businesses.
While most businesses expect phenomenal insight from a data catalog software, not enough thought is done to set up the data catalog to perform in the right manner, that is what we will be talking about in this article.
Today, it is a common site where businesses invest a large sum of money into their data catalogs without knowing how to fully utilize its potential. It can be that people are or organization is slow with the whole adaptation process, or they have used different implementation processes where the data catalog has become useless.
With that being said, we will look at mistakes people make while selecting or implementing data catalogs.
Mistakes To Avoid While Choosing A Data Catalog Software
Data catalog software is a new technology; hence, we can accept that it has a learning curve for most people in the organization.
However, apart from the learning curve, we have seen some common mistakes made by several organizations. Let’s have a look at them.
1. Cheaper Price Tag
It is important that you look for the right data catalog software instead of looking at the price of the software. We have seen people making those mistakes. Remember that cheaper software is not always the best. There is a reason why they are cheap. Cheaper software means they might have several bug issues.
While you are selecting a data catalog software for your business, it is important that you invest in bug-free software and do not hinder the business operations. Yes, going for a cost-effective solution is always good; however, you need to ensure that your cost-effective solution is worth your time.
2. Security Of The Software
Nowadays, cyber-attacks and security breaches have become a common issue for most of the organization. So while you are selecting a data catalog software,m ensure that it has high-security protection features.
A data catalog is a collection of metadata of your original data. Hence, losing data from your data catalog is equivalent to losing your original data. This shows how important it is to secure your data catalog.
3. Poor Evaluation Performance
Since every data catalog caters to different features, you must evaluate the data catalog based on your business demands. You cannot evaluate data on the features you are not going to use.
The poor evaluation process has always been a key factor in why most businesses have useless data catalogs for the organizations.
The factors such as ease of use, user interface, smooth navigation, easy data access, and overall functionality define the data catalogs’ performance.
4. Lack Of Customizations
While you are choosing a data catalog for your business, you need to ensure that it serves your business purposes. If the software lacks in the areas where your business needs a catalog, it is of no use.
The best way to solve this problem is to go for a data catalog with several customization features. These customization features will help you customize the data catalog software application in accordance with your business.
5. Infrequent Updates
The software application industry is changing every day and so do bugs. Most of the data catalog software gets updated regularly. Till here, there is no problem with the software. The real problem arises when you stop getting those updates.
Updates are necessary for any software application; the same thing goes for the data catalogs. The update helps the software to remove security vulnerabilities. Hence, avoid software that lacks frequent updates.
Conclusion
There you have it; mistakes to avoid while selecting a data catalog software application. Here we have tried to encapsulate all the common mistakes an organization or individuals makes while selecting a data catalog software.
We hope that you were able to benefit from this article. If there are any other queries, you can drop them in the comment sections.
