Sometimes this specialization is powerful, but especially when it comes to exploratory analysis and data storytelling, it actually leads to fragmented and inefficient workflows. Enough that you, dear reader, are right now on a website that exists solely to inventory them all. They move away from the drag n’ drop querying and dashboarding paradigms of BI and allow “Analytically Technical” users to connect multiple data sources, query & analyze in a very flexible environment, and publish curated applications or data documents to be consumed by an end-user- all in one tool. What is a Data Workspace?ĭata Workspaces are tools for data analysis that share many of the same traits as traditional BI tools, but with a much stronger emphasis on flexibility, collaboration, and widespread sharing of artifacts. Rather than aim to enable self-serve data access across an entire organization (like BI tools), Data Workspaces enable more technical users to do extremely powerful and complex data work- and easily share results with anyone.
Data Workspaces embrace analytical depth, collaboration, and simple sharing of curated artifacts, offering a flexible counterpart to traditional BI tools.
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