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.
Application of Data analytics in Small / Medium Enterprise planning
Understand the relevance of better use of data in SME planning - and think of various architectures / solutions that can be fit the problem
Most mature Small / Medium enterprises (SMEs) have their workflow digitized. Transactions - purchases, sales are captured in an IT system. However, these IT systems are primarily used transactionally - for billing, receivables, cash flow, balance sheet, and inventory.
Decision making in SMEs is largely the entrepreneur’s intuition driven. More objectivity, however, can be brought about in this decision making by using the historical transactional data for forecasting, production / purchase planning, pricing, marketing planning and much more.
Entrepreneur’s own low understanding of what can be done with data, low prevalence of business analytics skill sets amongst the local software vendors, and absence of an affordable ready to use smart analytics products hinder this.
We describe an application of such concepts of such tools from Surat’s textile industry, and a proposed architecture for such a tool.
I did my BTech in Computer Science from IIT Kanpur, started off my grad school at MIT, moved back to India to work at Google, before co-founding a social business on healthcare for the poor (Swasth India). Last few months, I’ve been working on 2 ventures - one a data analytics solutions company for SMEs, and the other - a textile e-commerce company, both in the context of Surat’s textile industry. My learnings / presentation will be based on these learnings.