What is the best format to create a data dictionary for the company to align everyone on terms so we speak the same language?

I'd consider a format that is easily accessible and that is easy to keep up to date. As such, I'd suggest something like a company wiki and/or link directly from your BI tool or whichever platform teams across your company access data and analytics. When creating this data dictionary, I'd spend the time upfront to get alignment from all the key stakeholders across the company that touch data that this will be the single source of truth and align on the process, timing and owners for updates to m ...Read More

In most documentation efforts, internal and cross-functional alike, RevOps objective is typically to simultaneously achieve widespread adoption, relevance and freshness. For a data dictionary, various options are possible: from a static PDF, to a live collaborative piece (Word, Wiki, GDoc, spreadsheet - enabling comments, revisions, use cases/queries/code logging); all the way to a data governance platform - typical for large orgs with complex schemas. There are many choices here: long-form vs. ...Read More

This is as much about company culture as anything. At Intercom, we would have a Coda page because that is our main tool for documenting and sharing work like a data dictionary. There's nothing wrong with a Word doc or Excel file if that is something people will consistently rely on for this. Your job is to figure out what the medium is that the company will respond to. Whatever format you pick, spending time to socialize your ideas and get buy-in from the other key stakeholders will matter a lot ...Read More

The best data dictionaries live in a system of record connected to the data source itself. Tools like Unity Catalog on Databricks or Alation surface the dictionary and governance on the same platform as the end query. This makes is more efficient for users as well as more transparent to keep updated. That being said, I have found it useful to start with a simple, collaborative tool like Google Sheets to get things started. Use this as your structure for a few months until the necessary informati ...Read More

The best way of creating a data dictionary is to store it in a shared, accessible document, or on a database. Every item in the dictionary should be comprised of its name, definition, source and how it is used. Google Sheets, Smartsheets, Confluence and a dedicated metadata management platform are tools that come in handy here. Make certain it is easy for users to understand. Also, categorize by function or department for quick searching. It is absolutely crucial to keep updating this document, ...Read More

A data dictionary holds remarkable importance, often overlooked because it's perceived as low-value documentation. However, I've found that neglecting it can lead to critical issues. Definitions, KPIs, and leading indicators may become consolidated in a few minds within the organization, posing significant risk. Alternatively, as organizations scale, maintaining consistency becomes challenging, hindering alignment across functions. There's no one-size-fits-all format for creating a data dictiona ...Read More