How to help your company become truly “data-informed”
Data science may have matured a lot as a discipline in the past decade, but many companies still struggle to align their goals with the insights data practitioners produce. The reasons can vary: traditional businesses might be hesitant to try new approaches; young startups sometimes don’t have a robust infrastructure in place to collect and organize their own data.
Fortunately, data scientists and data analysts have the power to educate their colleagues about the benefits of making data-backed decisions. Before they can do that, though, they themselves need to know how to connect the right dots and communicate their knowledge effectively.
This month, we’ve selected some of our favorite recent articles geared specifically at industry data professionals. They go from high-level strategy to nitty-gritty execution, and reading them might help you break out of the fancy-algorithm silo in which data teams sometimes find themselves.
Happy reading, and thank you for your support of our authors’ work,
We’re thrilled to welcome new and talented authors to the TDS community every month, and August was no exception—our most recent cohort includes Thu Dinh, Rohit Choudhary, Dustin Liu, Паша Дубовик, Shaefer Drew, Sabrina Göllner, Praveen Nellihela, Huong Ngo, Julio Marco A. Silva, Martina Giron, Ryan Xu, Garrett Kinman, Nimrod Berman, Luhui Hu, Matt Biggs, Artem Dementyev, Sergey Kotlov, Kyle O’Brien, Mike Clayton, Andrew Bush, Suvaditya Mukherjee, Ryan Posternak, Damien Azzopardi, Alberto Tamajo, Sara Tähtinen, Shambhu Gupta, Mihir Garimella, Dinesh Rai MD, Caroline Zaborowski, Anton Lebedev, David Sweenor, Morgan Green, Giovanni Organtini, Zvonimir Boban, and Caitlin Ray, among others. If you’d like to share your work with us as well, now’s a great time to take the plunge.
Until next month!