What are your users doing on your website or in your store? How do you turn the piles of data your organization generates into actionable information? Where do you get complementary data to make yours more comprehensive? What tech, and what techniques?
The Fifth Elephant is a two day conference on big data.
Early Geek tickets are available from fifthelephant.doattend.com.
The proposal funnel below will enable you to submit a session and vote on proposed sessions. It is a good practice introduce yourself and share details about your work as well as the subject of your talk while proposing a session.
Each community member can vote for or against a talk. A vote from each member of the Editorial Panel is equivalent to two community votes. Both types of votes will be considered for final speaker selection.
It’s useful to keep a few guidelines in mind while submitting proposals:
Describe how to use something that is available under a liberal open source license. Participants can use this without having to pay you anything.
Tell a story of how you did something. If it involves commercial tools, please explain why they made sense.
Buy a slot to pitch whatever commercial tool you are backing.
Speakers will get a free ticket to both days of the event. Proposers whose talks are not on the final schedule will be able to purchase tickets at the Early Geek price of Rs. 1800.
The Art of Data Analysis
The explosion in techniques for data and statistical modeling has not really led to the explosion in data-driven insights that one would have expected.
In this section, learn how to answer a business problem using data. Learn how to approach a problem, the kind of questions to ask, the process to gain insight and how to avoid common pitfalls.
In this session, using a case-based approach, I take you through a structured process of data analysis which helps you solve your business problems using data-driven insight.
This is NOT going to be a technical session, and I will not be teaching any actual statistical techniques. I might call upon the use of one or two basic well-known techniques (such as regression), though.
This session is all about the “art” part of data analysis - how to structure your problem, how to attack it, how to gather and clean data, what kind of questions to ask, etc.
A laptop with a spreadsheet program is necessary to completely appreciate the session
Speaker bio #
Karthik Shashidhar is a freelance quant and data modeling consultant. He has extensive experience in quant and data modeling across financial services, pricing and revenue management, and logistics. While he is well-versed in various techniques in modeling and data science, he believes in a business-centric approach to data modeling problems. He holds a B.Tech. degree from IIT Madras and a PGDM from IIM Bangalore