5 Reasons You Might Need a Data Catalog

View all posts on Data Governance & Stewardship

As the volume of data has increased exponentially organizations everywhere are struggling with how to get their arms around the data and leverage it to its full potential. We’ve put our heads together here at DATUM and have compiled a list of the top 5 scenarios we see from customers that indicate it’s time to consider data catalog capabilities.

1. You need better analytics. 
Do you find yourself asking how you can get more value from analytics and get better visibility into your data?  You’re not alone.  With the advent of IoT and Digital Transformation initiatives, organizations are finding that being able to find what data is available to them and being able to confirm that it’s trusted is paramount. Your analytics are only as good as the quality of your data. 

2. You’re questioning whether your investment in business intelligence (BI) software is resulting in accurate reporting.
Investing in and leveraging BI is definitely a hot topic and the current “must have” software trend. But locating the right data for analysis and reporting is proving to be a huge challenge for organizations who are in the process of implementing their BI investment.  In order to ensure success, you’ll need to make sure that not only can you locate your data, but you can identify the source and confirm validity.

3. You’ve got a data swamp
You probably had lofty dreams for your data lake.  It seemed like a good idea at the time, right?  But instead of a searchable, easy to access fountain of knowledge you’ve got a swampy mess on your hands.  Business stakeholders are struggling to access and find the information they need from the data lake and no one is certain what actually is in there.

4. You need to be GDPR compliant
The deadline to show that you are compliant is quickly approaching and with the growing scrutiny around consumer privacy in general, organizations are concerned with meeting deadlines, as well as being able to address customer concerns and pass an audit. How can you demonstrate the appropriate level of due diligence?  First step is being able to locate and identify what personal data you maintain.   

5. You’ve got to prepare your organization to take advantage of AI
The key to making AI work for you is knowing that you can find the right data to inform the AI algorithms.  Is your data tagged correctly?  Is the metadata correct? Can you find the data that you need?

No matter which scenario resonates with you, it all comes down to being able to determine what data do you have?  Where is it? And is it trusted? 

Download our e-book Getting Started with a Data Catalog to learn the what, why, when, how and where of data catalog selection.

New Call-to-action

Comments