Three Keys for Driving Data Catalog Adoption
Posted: Tue Feb 11, 2025 5:01 am
There are a few certainties in life: Death, taxes, the futility of the New York Jets, and companies saying they want to be data-driven but struggling mightily to get there.
A NewVantage Partners survey revealed that 99% of Fortune 1000 companies are investing in big data and AI initiatives this year. However, in that same survey, only 24% of respondents believe their companies are actually data-driven. That’s down 14% from 2020!
We hear consistently from customers that their data catalogs help accelerate key data initiatives. That’s because a catalog can act as a dependable, accessible resource for both data and analytics. It’s also a powerful solution for data governance that, when implemented effectively, can gain broad adoption in the enterprise and help drive data literacy.
But not all catalogs are created equal and many cater to one end of the access/control spectrum or the other. Here are a few questions to ponder as you consider how to drive data catalog adoption in your organization:
Is your data catalog intuitive, usable, and flexible?
Is there a clear path to business value for data consumers?
Does it improve collaboration between data producers and consumers?
Adoption is core to our ethos because we believe greece whatsapp number data data-driven companies can’t physically exist if people struggle to find, understand, and use data. In fact, user adoption is so important to data.world that every employee's bonus is directly tied to it.
Let’s dive into each of the questions raised above in a bit more detail:
Is your data catalog intuitive, usable, and flexible?
The data landscape is littered with expensive tools that never get used. In fact, Gartner estimates about 25% of IT software is shelfware.
If you’re in the market for a data catalog, think about who you want to be the early adopters and how you’ll roll it out to more people over time. Does the solution make sense right away or require intense onboarding and training? Is it powerful enough to handle the use cases you need to solve today, and flexible enough to handle data challenges down the line with similar ease?
For example, an initial use case for data catalogs might be having your data engineering team setup a data glossary complete with associated metadata. That early glossary could then be used by the team that is focused on mapping and connecting to various data resources throughout the organization including CRM, ERP, data warehouse, and BI tools. This is a precursor to a use case for data analysts who want to search the catalog for all tables containing the word, “customer,” and then start to run queries and build reports.
A key takeaway here is that use cases should not run in silos but rather build on each other and create a collective body of knowledge that improves the catalog over time and enriches data cultures. Core to that are a familiar intuitive interface that’s simple to use and a flexible metadata model that makes data easier to share, collaborate on, and reuse. Request a demo to check out our unique UX that has been battle-tested by more than one-million users.
A NewVantage Partners survey revealed that 99% of Fortune 1000 companies are investing in big data and AI initiatives this year. However, in that same survey, only 24% of respondents believe their companies are actually data-driven. That’s down 14% from 2020!
We hear consistently from customers that their data catalogs help accelerate key data initiatives. That’s because a catalog can act as a dependable, accessible resource for both data and analytics. It’s also a powerful solution for data governance that, when implemented effectively, can gain broad adoption in the enterprise and help drive data literacy.
But not all catalogs are created equal and many cater to one end of the access/control spectrum or the other. Here are a few questions to ponder as you consider how to drive data catalog adoption in your organization:
Is your data catalog intuitive, usable, and flexible?
Is there a clear path to business value for data consumers?
Does it improve collaboration between data producers and consumers?
Adoption is core to our ethos because we believe greece whatsapp number data data-driven companies can’t physically exist if people struggle to find, understand, and use data. In fact, user adoption is so important to data.world that every employee's bonus is directly tied to it.
Let’s dive into each of the questions raised above in a bit more detail:
Is your data catalog intuitive, usable, and flexible?
The data landscape is littered with expensive tools that never get used. In fact, Gartner estimates about 25% of IT software is shelfware.
If you’re in the market for a data catalog, think about who you want to be the early adopters and how you’ll roll it out to more people over time. Does the solution make sense right away or require intense onboarding and training? Is it powerful enough to handle the use cases you need to solve today, and flexible enough to handle data challenges down the line with similar ease?
For example, an initial use case for data catalogs might be having your data engineering team setup a data glossary complete with associated metadata. That early glossary could then be used by the team that is focused on mapping and connecting to various data resources throughout the organization including CRM, ERP, data warehouse, and BI tools. This is a precursor to a use case for data analysts who want to search the catalog for all tables containing the word, “customer,” and then start to run queries and build reports.
A key takeaway here is that use cases should not run in silos but rather build on each other and create a collective body of knowledge that improves the catalog over time and enriches data cultures. Core to that are a familiar intuitive interface that’s simple to use and a flexible metadata model that makes data easier to share, collaborate on, and reuse. Request a demo to check out our unique UX that has been battle-tested by more than one-million users.