Every company, regardless of size, is dealing with a barrage of data. In any typical organisation, there is more information on hand than we know how to use or manage.
While every team in the organisation is screaming for analytics professionals to turn data into insight, a strong data and analytics tech stack is foundational to being able to make sense of it all.
The need for a robust and efficient data and analytics tech stack has created a sprawling industry for new technology solutions that sell the promise of seamless integration and faster insights.
Today, there are a plethora of data and analytics platforms available, most with very high valuations attached to them.
But do we really need all these tools to make us super-powered data users?
To answer this question and many more related to the data and analytics tech stack, I recently spoke to Benn Stancil.
Benn is the co-founder and Chief Analytics Officer at Mode. Mode is a modern analytics and BI solution that combines SQL, Python, R and visual analysis to answer questions for its users.
In this episode of Leaders of Analytics, you will learn:
- What the perfect analytics tech stack looks like and why.
- Programmatic automation of the analytics workflow.
- What will cutting-edge analytics tech be able to do 5-10 years from now.
- Why Been thinks the Chief Analytics Officer role should be redefined, and much more.
Benn on LinkedIn: https://www.linkedin.com/in/benn-stancil/
Benn on Twitter: https://twitter.com/bennstancil
Benn's (brilliant) Substack blog: https://benn.substack.com/