Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by Ask QueBIT. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ask QueBIT or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Episode 16: How to become an Analytics Expert

34:04
 
Share
 

Manage episode 323146266 series 3128992
Content provided by Ask QueBIT. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ask QueBIT or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Episode 16: How to become an Analytics Expert

Guests: Daniel Williams, Odile Davis Wolfe, Pete Horgan

QueBIT has grown by cross-training business and finance people in analytics technology, and by cross-training engineers and computer scientists in business and finance. Meanwhile analytics experts such as data scientists are at a premium in the marketplace, and many finance and business leaders are recognizing the need for their business and financial analysts to develop more technical skills, so as to be able to service growing demands for data and insights in support of better decision making! Specifically, there is a trend towards the finance function expanding beyond responsibility for financial reporting, financial planning and analysis into a new world that encompasses data and analytics strategy for the entire organization!

In this week’s episode, we put these two things together: perhaps QueBIT’s experience in developing these skill sets will be of use to organizations that are moving in this direction? We’ll hear from a panel of QueBIT consultants who are relative newcomers to analytics, so listeners can learn from their experiences.

  continue reading

62 episodes

Artwork
iconShare
 
Manage episode 323146266 series 3128992
Content provided by Ask QueBIT. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ask QueBIT or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Episode 16: How to become an Analytics Expert

Guests: Daniel Williams, Odile Davis Wolfe, Pete Horgan

QueBIT has grown by cross-training business and finance people in analytics technology, and by cross-training engineers and computer scientists in business and finance. Meanwhile analytics experts such as data scientists are at a premium in the marketplace, and many finance and business leaders are recognizing the need for their business and financial analysts to develop more technical skills, so as to be able to service growing demands for data and insights in support of better decision making! Specifically, there is a trend towards the finance function expanding beyond responsibility for financial reporting, financial planning and analysis into a new world that encompasses data and analytics strategy for the entire organization!

In this week’s episode, we put these two things together: perhaps QueBIT’s experience in developing these skill sets will be of use to organizations that are moving in this direction? We’ll hear from a panel of QueBIT consultants who are relative newcomers to analytics, so listeners can learn from their experiences.

  continue reading

62 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play