12/7/2023 0 Comments Data dictionary creatorThere are many other pieces of data knowledge that we’re excited to capture in Secoda in the future and would love to share our vision with any teams that want to use Secoda as the way to capture data knowledge. We’re going to be working on bringing employees closer to this information by providing teams with an always-on concierge to answer any question about data based on the knowledge captured in Secoda. Our vision is to provide data teams with an intuitive platform to manage all their data knowledge in one central place. This is just the beginning of the knowledge capture process for Secoda. This way, all business stakeholders can stay informed on the important key business metrics. One strategy that we used was to create a Slack channel dedicated to updates to data dictionary terms or data documentation (which you can easily do with Secoda). Communicate the changes in the dictionary definition to the rest of the teams and make sure all team leads are informed about the new changes. One piece of advice we have is that when there are big changes in the business, treat the changes to the data dictionary as a key part of the product release. Changes like these are traditionally difficult to keep track of when all your definitions are defined in google sheets or confluence. One instance that might require key metrics to change is when a new revenue stream is introduced or when the pricing of an existing revenue line changes. Secoda updates teammates on changes to the data dictionary. How To Improve Communication and DocumentationĪlthough the key metrics should be stable, they may need to change over time. Secoda makes this easier by making the definitions easier to find and understand for every employee. Additionally, the definitions should be adopted by all teams and by leadership. The definitions should be understood by anyone in the company, not just the data team. That's why a data dictionary can be one of the most valuable tools that a data team can create to deliver results. And although it sounds like a simple problem, which might require a meeting to solve, aligning the business and data to remove confusion can be an extremely profound problem. 8, 2020, 6:59 AMĬommon Problems People Face When Analyzing DataĪll data-driven organizations experience this problem as they begin to grow their data and people. The sales team defines “number of rides per week” as the total number of riders that paid for a ride Jan.The marketing team defines the “number of rides per week” as the total number of rides that were started between Jan.The data team defines the “number of rides per week” as the total number of rides that were completed between Jan.At this company, it was very difficult to get aligned on the same metrics for “number of rides a week”. As teams continue to embrace remote work, data discovery tools become an important tool to help teams get on the same page when they aren’t in the same place. By getting on top of this knowledge capture early and often, teams can avoid the pain of having to spend weeks documenting their data when it's out of control.Ī ride-sharing company we wrote about in a previous article shared an example of the difficulties related to data definitions. The benefits of keeping data information in a central tool are more efficient, transparent and self sufficient teams. Tag the definitions in your data resources and create bi directional relationships What Are the Benefits?
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