Presented By O'Reilly and Cloudera
Make Data Work
December 1–3, 2015 • Singapore

Leveraging data analytics for high performance design

Rakesh Menon (McLaren Applied Technology)
4:50pm–5:30pm Thursday, 12/03/2015
Data-driven Business
Location: 331 Level: Intermediate
Average rating: ****.
(4.00, 5 ratings)

Prerequisite Knowledge

1. Basic Appreciation of Data Analytics

Description

1. Intro: Characterizing the racing world
a. Peppered with uncertainty
b. Real-time data collection
c. Timely decision-making is critical
d. Linking the above to actual events on a race day
e. The role of analytics in the racing world

2. McLaren’s approach to data-driven design
a. Founded on 3 core capabilities

  • Measurement
  • Systems modelling/simulation
  • High performance design

b. Integrating these capabilities to deliver superior performance

3. Systems modelling
a. What is so unique about McLaren’s approach
b. Combines data analytics with First Principles to model systems
c. Introduce merits of Black box + White box modelling

4. Applications outside of racing domain
a. Share examples within other domains

  • Virtues of combining data analytics + technology as differentiators

b. Outline potential next wave applications

Rakesh Menon

McLaren Applied Technology

Seventeen years in the analytics arena has seen Rakesh Menon work on various projects across multiple industries, from manufacturing, consumer electronics, healthcare, and banking to telco and more. Starting out in an academic environment, he was engaged in research, training, and consulting in the areas of quality, reliability, data, and text mining. He has published a number of journals/articles in these areas. Having obtained his PhD, Rakesh moved out of the academic environment to garner rich experiences in MNCs and startups alike, in both end user as well as service provider environments.

A large part of his career was spent within the consumer banking space, where he has designed and put to use multiple frameworks that optimize for consumer-service provider interactions. His unique blend of research, consulting, and end-user experience endows him with an enhanced appreciation of the practical dynamics involved in translating problems to solutions.

Originally trained as a civil engineer, Rakesh holds double Master’s in civil and financial engineering. His PhD was in the area of text mining applied to the product development domain.