We put in months of hard work into a #datascience project. But, our biggest trial by fire usually comes after that. A terrific data science solution that goes untouched by users is like "The operation was a success, but the patient died" Some questions to consider: - How do you make #business teams *use* the solution? You must make it easy for users to understand insights & make decisions - What's a good way to measure impact & ROI of projects? A simple metric or a good enough proxy will do. You need *something*. - Is there a way to make decisions from #data a habit? Data culture can unleash a pull effect to sustain things long-term. Eric Weber and I will be discussing these questions and a lot more, next week. I love Eric's work and his Linkedin posts are usually packed with tons of #analytics insights! If you aren't following him, do check out I'm looking forward to this chat! Do register using the link in the comments below. Gramener
Follow me if your users don't use your dashboards ☆ Down to earth data visualization & storytelling ☆ Make your analytics count ☆ Chart Doktor Data Product School
4 年Terrific topic! Looking forward ??