Sisense

FEBRUARY 23, 2021

When deploying analytics for your company or your customers, you can feel stuck between the twin poles of “What data is available?” The key to coming up with the best insights lies in delving deeply into both questions; the answers you discover can help you get even more out of your data. Determining data goals, making a plan.

Slice and Dice 52

Slice and Dice Data-driven Consulting Visualization 52

Edwin Chen

SEPTEMBER 29, 2011

Following the path of my previous data-driven post on differences between Silicon Valley and NYC , I scraped the Quora profiles of a couple hundred followers of each school to find out. Data Storage 0.65. Visualization 0.492. Big Data 0.41. Data Science 0.328. Data Visualization 0.301.

Finance 81

Finance Interactive Machine Learning Advertising 81

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109