<aside> 💡 In companies that require analysis done from a combination of - business applications (CRM, ERP etc) + data warehouses, analysts use at-least 3 unique tools to explore/query data and 4 unique tools to communicate insights within the analytical workflow (i.e requirement gathering to data presentation)

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<aside> 💡 In companies that have at-least a 5 member data team- a data practitioner feels the need to collaborate with at-least 2 other data practitioners and/or at-least 5 other members from non-data teams and uses slack/email/meetings for their collaboration needs- for >80% of their time.

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<aside> 💡 Non-data teams find it difficult to trust the numbers they see on their reports/dashboards without having any context from data practitioners on how they’re calculated and what the charts mean for them in the context of today.

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<aside> 💡 What teams learn from data, what they say about it together and eventually what they did with the information is stored in disparate sources and have no one place for them to version control for analytical reproducibility.

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