I agree with this post so much. Getting a seat at the table is more important than choosing Tableau vs Looker vs PowerBI, or Snowflake vs BigQuery. My experience speaking with over 200 leaders over the past 18 months is that only about 20% get it. Those who get it, generally grew up on the business side (or at McKinsey), and generally report into a business function (vs CIO/IT).
You are bang on the budget at disposal with a clear ROI. The decision makers and those using these data tools are unaware of the hidden leakage of those budgets on duplication of data processing that comes with multi-tool mayhem. The costs can be brought down deeply if the business wants to truly make money with the data sitting across systems. Data teams can get a seat at the table provided they are able to show that impact and maturity with their data decisions and what they choose to see at the end of the tunnel.
This table looks extremely weird to me as a Head of Data from Eastern Europe and working for a British Fintech.
We spend 6 figures for Snowflake. But salaries are extremely different.
100% it could be very different in terms of the total spent on salaries. If it were FAANG level salaries it'd be even higher.
I agree with this post so much. Getting a seat at the table is more important than choosing Tableau vs Looker vs PowerBI, or Snowflake vs BigQuery. My experience speaking with over 200 leaders over the past 18 months is that only about 20% get it. Those who get it, generally grew up on the business side (or at McKinsey), and generally report into a business function (vs CIO/IT).
I wouldn't be surprised if that number is accurate.
You are bang on the budget at disposal with a clear ROI. The decision makers and those using these data tools are unaware of the hidden leakage of those budgets on duplication of data processing that comes with multi-tool mayhem. The costs can be brought down deeply if the business wants to truly make money with the data sitting across systems. Data teams can get a seat at the table provided they are able to show that impact and maturity with their data decisions and what they choose to see at the end of the tunnel.