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.
Targeting the Moment of Truth: Using Big Data in Retail
To share insights from use of big data by retailers in the area of pricing, promotion & supply chain and understand how some of the leading retailer are using big data analytics to design the next best offer for their customer
The key moment of truth for a customer is when he or she makes the choice to take a product from the shelf and put it in to the shopping cart at a store or clicks on the add to my shopping cart button on a website.
Retailers have been for decades trying to crack this moment of truth - how to steer individuals to the right product at the right price and the right channel. Now with the capability to process big data, retailers have finally started to effectively combine customer data [like demographics, psychographics, purchase history, social, mobile and location information) with their product offerings and purchase context / channels to take crack at this problem.
In this session, we walk through the typical challenges that retailers face in this area and see how some of the leading retailers have started to harness big data to crack the code.
Amit writes, teaches and consults on a number of topics including telling stories with data, conducting analytics and data visualizations and working with small retail, consumer and internet companies to scale up. He worked as a management consultant advising consumer and retail companies over the last decade, first with ATKearney in India and then with Booz & Company in Europe. He completed his undergraduate B. Tech degree from IIT Delhi and a PGDM from IIM Ahmedabad.