Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA

How to avoid pitfalls when reasoning with data

Derek Ruths (CAI)
5:10pm–5:50pm Wednesday, March 7, 2018
Strata Business Summit
 Location: 210 D/H

What you'll learn

  • Explore the five most common issues that lead to bad data-informed thinking

Description

Unreasonable sales forecasts, badly overstocked inventory, misguided investments . . . bad analyses happen all the time, leading to bad decisions and costing businesses millions of dollars. Derek Ruths shares the five most common issues that lead to bad data-informed thinking. You’ll learn what they look like, how they arise, how they lead to bad decisions, and how to catch them before they hurt your organization.

Photo of Derek Ruths

Derek Ruths

CAI

Derek Ruths is cofounder and chief architect of CAI, a charity focused on bringing the power of data science to social good initiatives. Derek is also an associate professor of computer science at McGill University, the head of R&D at Data Sciences, and the director of the McGill Centre for Social and Cultural Data Science. In these capacities, he works closely with major tech companies, advises governments on technical innovation, teaches executive education programs, and partners with international humanitarian organizations. In his work and research, Derek has been a longtime advocate for the essential role of data science in fostering more equitable, more prosperous, and healthier organizations and societies.