Waterfall project management plans set a rigid plan upfront. This inflexibility creates challenges for data science projects.| Data Science PM
As the data science function matures, a dedicated product manager to drive product vision and strategy is becoming increasingly crucial.| Data Science PM
Does Scrum work for data science projects? Software's most popular agile framework provides some great benefits but it also constrains data science work.| Data Science Process Alliance
We follow these principles:| agilemanifesto.org
Based on a recent poll conducted on our site, CRISP-DM remains as the most popular framework for data science projects.| Data Science PM
85% of data science projects fail. Why? Learn these eight leading reasons and what you can do to beat the odds.| Data Science PM
In today’s fast-paced, fiercely competitive world of commercial new product development, speed and flexibility are essential. Companies are increasingly realizing that the old, sequential approach to developing new products simply won’t get the job done. Instead, companies in Japan and the United States are using a holistic method—as in rugby, the ball gets passed within […]| Harvard Business Review