BI Polar has a series of videos and accompanying blog posts that focus on key aspects building a data culture. This series wrapped up in November 2020, and includes 3 hours 20 minutes of content delivered over 17 videos.
- Series Intro: Building a Data Culture
- Data Culture: Executive sponsorship
- Data Culture: A brief history of business intelligence
- Data Culture: Roles and responsibilities
- Data Culture: Picking your battles
- Data Culture: The importance of community
- Data Culture: Motivation and encouragement
- Data Culture: Training for the community
- Data Culture: Showcasing the art of the possible
- Data Culture: The importance of a central portal
- Data Culture: Making stakeholder buy-in explicit
- Data Culture: Every app is a unique snowflake
- Data Culture: Community champions with swords
- Data Culture: The importance of experts
- Data Culture: Measuring success
- Data Culture: Wisdom from Sun Tzu
- Data Culture: Wrapping up and closing words
Based on the positive response this series has received, I’m planning a second season of videos for 2021. Dates and details are still being worked out – why not let me know what additional topics and scenarios you’d like to see covered, and what questions you’d like to have answered.
In December 2020 I presented a one-hour “Building a Data Culture with Power BI” session for the Glasgow Data User Group. This session is mainly a subset of what’s covered in the posts and videos above, but takes a different approach to these topics. You can find the session recording and slides here: Data Culture Presentation Resources.
In addition to this core video series, the BI Polar blog includes a set of standalone posts that fall under the broader topic of data culture.
- Self-Service BI: Asleep at the wheel?
- Are you building a BI house of cards?
- Choosing the right tool for the job
- BI is dead. Long live BI!
- Fiore’s Virtues of Business Intelligence
- It all comes down to culture
- Never stop asking “stupid” questions
- The Power BI Adoption Framework – it’s Power BI AF
- Tough love in the data culture
- Data culture and the centerline
- Common sense solutions to simple problems
- Successfully measuring / measuring success
- You can’t avoid problems you can’t see
- Metadata is not a “nice to have”
- When does memory die?
- Sometimes culture is life or death
- Migrating to Power BI
- Standardizing on Power BI