Mastering your between jobs time with the best of new approaches
Sharing resources to help those working in data & analytics master their between jobs time. Try mentoring, charity work & better preparation.
Tag: data science
August 29, 2020
Which technology stack options do data leaders need to understand?
Which parts of the technology stack do data or analytics leaders need to understand? Which should they be aware of & be able to guide technology selections?
Getting practical with a great introduction to DataOps & why it matters
Why you need to understand DataOps. A review of “Practical DataOps” book from Harvinder Atwal. Explaining why this book can help all data leaders improve.
Why you need Rebel Ideas within your Data Science team
Why you need Cognitive Diversity in your Data Science team. A book review of “Rebel Ideas” by Matthew Syed.
How to avoid stakeholder disappointment when you deliver your analysis
How can you avoid stakeholder disappointment when deivering analysis or models? Guest blogger, Harry Powell, shares a model for finding optimal time to stop.
Can you solve the Productivity Puzzle for Analytics teams?
Can Analytics teams be more productive? That’s the Productivity Puzzle facing many Data & Analytics leaders. Guest blogger Harry Powell shares his solution.
Recommended Data & Analytics books for leaders who keep learning
Recommending data & analytics books for analysts, data scientists and leaders (including CDO role). A collection of reviews and resources to help you read.
Guerrilla Analytics – how to deliver analytics in the cut & thrust of business
Book review of Guerrilla Analytics, a practical guide to working with data. Why this is such a useful manual for analysts & analytics leaders. Recommended.
What tools are in a good analyst toolbox? (part 2 = people skills)
What else does a good analyst toolbox need as well as the right software and resources? Guest blogger Martin Squires highlights the need for 4 People Skills
What tools should a good analyst have in their toolbox? (part 1 = technical)
Which tools should you ensure analysts have in their toolbox? Guest blogger & experience Analytics leader, Martin Squires, shares his recommended tools.
Why non-Data Scientists can lead Data Science teams
Why non Data Scientists can lead Data Science teams well. Guest blogger, Andy Sutton makes the case for generalist leaders with the right leadership skills.
Why Magic Quadrants and Waves are critical to choosing your tools
How Gartner’s Magic Quadrant & Forrester’s Wave can help you choose the right tools for the job. Useful external advisers for Analytics & Data Science today