Modern data tools have made creating reports and datasets easier than ever. Now we need to ensure this fertile ground makes your data blossom, but does not result in a data jungle.
With data and reporting needs in constant evolution, getting your data house in order seems an impossible challenge.
Nonetheless, the task is vital. Without proper documentation, metrics get misinterpreted; without clear ownership and official validation, the reliability of data assets is questioned; without clear guidelines, cross-department collaboration is hampered.
So how do we succeed in keeping pace with our ever-changing data?
Empower all people in the organization to contribute ‘community’ definitions, document self-service reports and suggest improvements to validated content.
Leverage no-code configurable validation workflows to get definitions and data validated by the right stakeholders.
Lower the threshold for users needing help (or wishing to give it!). Allow users to ask questions and provide feedback directly in context of specific reports or datasets.
More assets covered
By enabling everyone to contribute, a significantly higher portion of your data landscape gets labeled and documented. By empowering users to bring data into the light, you reduce your data blind spots.
Moving to a single data language
Ambiguity from data definitions and metric calculations is removed, moving employees from trying to understand the data to leveraging the available insights to make decisions and create value.
Ideal balance between collaboration and control
Through configurable workflows, you are sure the right checkpoints are in place for each situation.
Onboarding & training
Drastically speed up new employee onboarding. From weeks to hours before they get a grasp of your data landscape. From months to minutes before they are able to understand the meaning of your organization’s key data concepts.