/*
Notes from the PragmaticWorks webinar
https://pragmaticworks.com/Training/Details/Building-a-Highly-Efficient-Analytics-Team
*/
How to build a better analytics team
Analytics teams help differentiate difference businesses.
How businesses use their data to
- optimise business process
- understand what is a “normal benchmark”
- highlight opportunities to improve (based on existing benchmarks)
- highlight new opportunities that wasn’t obvious previously (can’t see the wood for the trees)
How do we define “world class”?
- Attitude
know that there’s always room to learn - Aptitude
grow your skillset to deliver measurable benefit - Adaptability
- Acceleration
How to assess your current team?
- Build a team based on potential, not on current-skill set
Getting from today to world-class
- rate your team on the “4 A’s”
- Clean up low hanging fruit
- Hand off “chores”
- Create capacity for improvement
- Set aggressive 90-day goals
- Get creative with team activities (hack-a-thons etc)
- Create specific plans and targets
- Put your plan into action and socialize results!
Gaining the Necessary Skills
- What skills are needed?
- Data Cleansing
- Data Modelling
- Data Analysis eXpression
- Data Visualization Best Practice
Good story telling, guiding the user through the main themes/conclusions that the data presents - Power BI Administration
- Data Governance
- How do you gain these skills?
- Free webinars
- Blogs
- Books
- YouTube
- On-Site Training
- Web-based On-Demand Learning
Pluralsight, Udemy - Pushing your team
- Set goals
- By the end of the month, you should know how to…
- By the end of the Quarter, you should know how to implement …
- Find out what motivates the team
- Competition between co-workers
- Buy lunch for your team when they reach a goal
- Define Learning Paths
- What things you want your team to know, and in what order
- Other considerations
- Specialist vs Jack-of-all-Trades
- Find ways to jump start your teams experience early (Hack-a-thons)
- Value of Certifications
Be prepared why certifications are valuable, and what was learnt, and how that matters
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