Agile Business Intelligence Project Management Best Practices Data by itself is often useless. However, by transforming the data into human understandable insights, organizations can harness the power of data to make meaningful decisions that drive outcomes. But making this happen is easier said than done. And traditional BI approaches often […]Read more
Data Driven Scrum (DDS) enables lean data science project agility and addresses the key challenges that have been identified when using Scrum in a data science context. This post describes five common questions teams might encounter when trying to implement DDS, as well as how to address these challenges. 1 […]Read more
The following is an interview between Nick Hotz and Dr. Matthew Edwards. Dr. Matthew Edwards Organization: National Innovation Centre for Data Role: Data Scientist Location: Newcastle, England Certification: Data Science Team Lead NICD & Matthew’s Background Nick: Can you describe your work at the National Innovation Centre for Data? Matthew: […]Read more
A data science process can make or break a team. Indeed, we see time and time again that many of the reasons behind data science project failures are not technical in nature but rather stem from process-related issues. Simply throwing compute power and PhDs at the problem doesn’t work. Rather, […]Read more
Explore what is a Machine Learning Life Cycle, and how it compares with a Data Science Life Cycle (by looking at OSEMN and CRISP-DM)…Read more
There’s no single data science project documentation recipe. Rather, your documentation needs will vary by project, team, organization, and industry. And it’s not just about producing data science model documentation. Instead, think broader and ask – What do I need to document and why? Once you’ve thought this through and […]Read more
Do you need a data science management recruiter? In this post, I’ll explore how to hire a data science manager and if using a data science manager recruiter (or executive search firm) would be helpful. As you likely already know, it can be very challenging to hire a data science […]Read more
A data science strategic plan isn’t just about data. Rather, it is a comprehensive plan that defines how you build and maintain an ecosystem that delivers sustainable value from your data science investments.
Developing this plan is not easy. So why bother?
Well, without one, you could be steering down a path without knowing where it is going…Read more
Are you a new data science manager? Or a data scientist who wants to become a data science manager? Or, perhaps, a manager who wants to start managing data science teams?
If so, welcome to the world of data science management…Read more
What do flight attendants, surgical teams, and successful data science project managers have in common? They all use a checklist. Why? Although every surgery, project, and flight is different, each has a repeatable pattern. And checklists can help remind us of each step and major consideration. Don’t reinvent the wheel. […]Read more