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Home > Analytics on Fire > 15: Why the Key to a Data-Driven Culture is Community with Shawn Rogers
Podcast: Analytics on Fire
Episode:

15: Why the Key to a Data-Driven Culture is Community with Shawn Rogers
Category: Business
Duration: 00:56:33
Publish Date: 2016-06-28 08:00:00
Description:

This week on Analytics on Fire, I sat down with the godfather of BI Communities and Chief Research Officer of Dell, Shawn Rogers to discuss a topic that is becoming critical to the next generation of BI, community. Shawn gives us a clear view on what it takes to drive a data-driven culture, as well how to convince a C-level executive like himself to make the ‘investment’. We have an in-depth conversation on Shawn’s five Cs of BI: culture, community, collaboration, commitment, and consistency.

In This Episode, You'll Learn (Time-Stamped):
  • [11:59] – Shawn states that from a best practice standpoint “the very first thing an enterprise needs to do is listen”
  • [12:20] – Shawn recommends to “listen first, participate second, and then start to integrate.. by integrate look for entry point to share information”
  • [14:32] -Shawn emphasizes that “the value is people learning from one another”
  • [14:45] -“They are doing BI and Analytics, and its take a village”
  • [14:58] – “To build a culture around analytics, it has to include a collaboration platform.. it helps scale out a culture”
  • [15:32] – “It can’t just be tech, there has to be a culture of collaboration. When I see that (existen of community), those are the companies who are leading.”
  • [24:24] – “We have to realize that growing a community takes time”
  • [26:19] – Key Quote “If you’ve got the right culture that means you have Executive Sponsorship.”
  • [26:39] – “A lot of smart community building I’ve seen has been where culturally and financially investments are made.”
  • [28:41] – “It’s like social data. You have to get past the fluff.”
  • [29:09] – AHA Moment “You have to get non-traditional executive who can look beyond the P&L and see that non-traditional investments can breed non-traditional value. Non-traditional value is recouping investment in big data. So many of these investments fall out due to poor use, poor advocacy.”
  • [29:40] – “50% of the time your average data warehouse doesn’t work and you spend $2MIL to find out”
  • [29:53] – “Too often these big projects (big data) cost millions of dollars up front, then we get short sited to spend couple 100K to foster the investment”
  • and so much more! Enjoy!

Get full show notes and more information by clicking here: http://analyticsonfire.com/15
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