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John Smith
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Data Scientist, USA
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Cloud-Ready Data
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Data Governance

Top 3 lessons learned from Gartner Summit ’22

From August 22-24, Collibra attended the Gartner Data & Analytics Summit. This was a great opportunity for our team to meet with both customers and data leaders and share insights on the importance of data and analytics to the business. We had over 500 people visit our booth this year and had the opportunity to share live demos on Data Quality, Data Catalog, Data Lineage and more. We also gave out a number of prizes to the lucky winners of “spin the data wheel” and connected with the data community over happy hour drinks. 

The theme of this year’s Gartner Data & Analytics Summit was to provide the tools to “deliver a world class data and analytics strategy.” At this conference, we spoke to many data citizens who are struggling to put data and analytics at the center of their business strategy. They recognize the importance of data and analytics to digital transformation, but they do not have the tools in place to ensure data democratization across their organizations. 

Collibra teamed up with Moody’s to tackle this challenge and present our learnings on how to democratize data and decentralize data governance. Our Chief Product Officer Laura Sellers and Shelly Fisher, Managing Director-Enterprise Data at Moody’s shared how Collibra helped Moody’s empower their business lines to own and get the most out of their data. The packed room heard about Moody’s journey, their top use cases, key learnings, and how they became a truly customer-focused organization. Here are our top three takeaways from the presentation: 

1. Simplify to succeed 

Before Collibra, Moody’s had all of their data in massive spreadsheets which meant that it was nearly impossible to find the data needed to make business decisions. The data also typically became stale and inaccurate because no one was updating it and it was very difficult to track the data lineage. With Collibra, Moody’s was able to democratize their data and make it easier to find and understand for the business user. Analysts no longer had to go to the governance or metadata management team to access the data. Instead, Moody’s made it easy for non-data professionals like Marketing and Sales who have little data governance experience, to easily find the data they need. This means that the entire enterprise can access the data seamlessly. 

2.Take a business lens approach 

Data democratization and digital transformation is not only about accessing the data. It is about using the data to make a positive business impact. Typically, people think that data governance is for the technical or risk person at your company. But at Moody’s they found that the business was getting the most value out of the data. It’s not so much tech for tech – it’s tech for business. For example, Moody’s customer success team uses Collibra like a Google search. It used to take the team days to find answers for their customers, but now it takes seconds. 

3. Put your people first 

Moody’s strongly believes in focusing on the people, not the product. The people are the experts so let them own the data. Before implementing Collibra, Moody’s asked their stakeholders what they needed from a data intelligent solution. They sought their opinions, directions and learnings. These people are closest to the data so they know best what they need to do their job. The key learning here is that success really comes from your approach. 

Missed our session with Moody’s at Garnter? Save the date for the September 29 webinar.

Want to learn more about Collibra?

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Related resources

Whitepaper

Data Mesh: Don’t Drown in Your Data Lake

E-book

Introducing Collibra Data Intelligence Cloud

Video/Webinar

Measuring Data Quality return on investment

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