Is there a clear path to business value for data consumers?

[jrineakter]

Great data cultures are built around people discovering, understanding, using, reusing, and ultimately extracting value from data. That value can take many forms from unique insights, to new revenue streams, or reduced risk. To make believers out of data skeptics, you need a solution that helps you get results quickly and creates network effects around the organization that lead to improved data literacy and governance and broad adoption over time.

Don’t force your data people to work with proprietary tools and languages or restrict cross-platform queries. That limits their ability to explore the actual data in the catalog and instead turns the platform into something resembling a metadata museum with dusty documentation and little value. Instead, give them the freedom to use the tools they’re comfortable with and the ability to federate queries to ensure they stay happy and drive business value.

Beyond that, it’s important to clearly define that “business value.” Is it about creating efficiencies in your data work? Are you focused on reducing risk? Maybe you’re building the next great data product. Whatever the case, make sure you have a clear understanding of what success looks like.

Our client success team works alongside each of our customers to understand their use cases and help them think through the right approach to address them. This complementary partnership approach ensures clients don’t get stuck or lose sight of their goals on their journey to being the data-driven companies they aspire to be.

Today, we have customers with tens of thousands of catalog users because they understand the value that data access, understanding, and reuse delivers for the organization.



Does it improve collaboration between data producers and consumers?
It’s a beautiful thing when data producers and consumers work together towards a common goal. But communication between these groups is not always easy or straightforward, which is why india whatsapp number data we often advocate for a data product manager. One of the big challenges is that conversations about data rarely happen where the data lives. Instead, critical knowledge exchanges occur in Slack threads, emails, and ad-hoc conversations.

With no consistent way to document these discussions, important context around data quality, transformations, and use is lost. Look for a data catalog that encourages collaboration and connects it back to the workspace that data producers and consumers occupy. The tighter the feedback loop between data engineers and the analysts downstream, the better and faster the reporting and the quicker return on your data investment. Stronger data teams and workflows are also core tenants of DataOps and Agile Data Governance.

Ultimately your data catalog should be a core component of your company’s data strategy. It should be the go-to location for discovering your canonical business data and all its relevant context. And it should be the place that data work gets done. The best catalogs are not the domain of a single governance team or organization. They’re for everyone.