How to pick your most impactful data science projects
Did you know that 80% of data science projects fail? This whitepaper looks into the top reasons for failure, and how you can avoid these pitfalls.
It shares an industry-tested methodology for picking the most useful data science projects.
What you will take away:
The three factors you need to evaluate your data science projects
How to prioritize your projects and build your data science roadmap
A real-world case study
Gramener is a Design-led Data Science company. We find insights and develop interesting stories that matter the most. We use AI and ML techniques to bring out the real value in data. Our services & technology has been recognized by Gartner and won several awards for the same.