Big Mistakes to Avoid When Performing Big Data Analytics

Mark Twain, a famous American author, once stated that there are “Lies, Damned Lies, and Statistics.” This phrase is used to describe the persuasive power of numbers, particularly the use of statistics, to lead people to draw incorrect conclusions. This workshop describes the subtle mistakes that can easily be made when interpreting the results from an analytic study or report. We describe logically sound processes for deciphering data using methods designed to illuminate actionable information for data scientists without distracting or misleading the knowledge worker from the relevant facts needed for effective decision-making.

Participants will learn about:

• common mistakes in interpreting data that lead to incorrect conclusions
• best practice for avoiding errors when conducting analytics with Big Data
• the skill sets that data scientists must possess to avoid big mistakes when performing big data analytics.

Audience: Business

We offer time-poor executives and managers short seminars of 1-2 hours on current, topical and visionary subjects in the domain of data analytics. Stephen Brobst, CTO Teradata, has produced a diverse range of seminars that he can present to your staff at your premises. We may also occasionally run these as public seminars.
Stephen frequently delivers keynotes at large conferences and is equally comfortable with business and/or technical audiences in smaller industry, organisational or user group meetings. Multiple seminars can be scheduled for one day. Stephen is experienced in both computer science via his MIT PhD work, and is also well versed in business management through his MBA work in a joint program between the Harvard Business School and the MIT Sloan School of Management. Download Stephen’s full profile [PDF, 212kb] for further details.