Metadata
- Authors: Jake Fuentes Jon Brelig
- Full Title:: What We Learned About the Data and Analytics Market
- Category:: 🗞️Articles
- URL:: https://www.cascade.io/epilogue/the-data-and-analytics-market
- Finished date:: 2023-09-05
Highlights
in companies that had a data team, we were relieving that team of some of their more tedious work by allowing business units to do it themselves. For companies that didn’t have a data team, we were allowing them to automate work in a way that wasn’t otherwise possible. (View Highlight)
New highlights added 2023-09-06
BI and analytics tools have typically been sold without presupposing the specific analysis being produced. Companies from Looker, Tableau, Mode, Metabase and many others are sold as general-purpose data tooling, in contrast with products like Amplitude which are more use case-specific. (View Highlight)
We knew that data teams did not feel the pain of the “analytics breadline” as much as business teams did, who had to wait weeks for report adjustments or ad-hoc analysis (View Highlight)
If it were common for companies to organize their business analysts into their own central team (like many do for functions like design, engineering or data), I think our approach could have worked. But with many companies having scattered their analytical talent across many different functions, we found it challenging to find landing zones within most organizations. (View Highlight)
we were afflicted by a larger issue that impacts the entire analytics space: what’s the value of an insight? (View Highlight)
New highlights added 2023-09-17
the ambiguous value of an insight has put significant downward pressure on the whole of the BI and business analytics sector (View Highlight)
Traditional BI tools will be abandoned in favor of embedded analytics inside existing tools or purpose-built, use case-specific apps that are friendlier and more relevant to business teams (View Highlight)
I doubt there will be a next generation of Tableau or PowerBI. Instead, we’ll see a large, scattered array array of opinionated, functionally-specific tooling that pull from standard warehouses and data models. Data teams will spend more and more of their time integrating with those tools, but less of their time creating the analysis that is instead produced by those apps. (View Highlight)
New highlights added 2023-09-18
The hockey stick requirement can seem tyrannical at times, undervaluing businesses that seem healthy in any other (View Highlight)