Sramana Mitra: Talk to us a little bit about all these different data sources. What are the strengths and weaknesses? What level of depth can you find? Diaz Nesamoney: The differences and, arguably, the challenges with data is two-fold. One is some data is essentially not very accurate because it’s based on projections or modeling.
Today’s 357th FREE online 1Mby1M roundtable for entrepreneurs is starting NOW, on Thursday, June 15, at 8:00 a.m. PDT/11:00 a.m. EDT/8:30 p.m. India IST. Click here to join. All are welcome!
Today’s 357th FREE online 1Mby1M roundtable for entrepreneurs is starting in 30 minutes, on Thursday, June 15, at 8:00 a.m. PDT/11:00 a.m. EDT/8:30 p.m. India IST. Click here to join. All are welcome!
If you haven’t already, please study our Bootstrapping Course and Investor Introductions page. We’ve talked about niche, proprietary e-commerce brands and how entrepreneurs are building businesses around different concepts. Eric shares the story of Big Barker, a dog bed for large dogs. Sramana Mitra: Let’s start at the very beginning of your journey. Where are you from? Where were
Sramana Mitra: The engine that you are selling sits on your end and the customer basically buys it in a cloud mode? Is it a managed service? Diaz Nesamoney: It can be either way. The software and the technology sits on the cloud. That’s what allows us to scale across hundreds of customers and massive
Sramana Mitra: Any other strategic moves that you made in building the company that are worth going over? Stefania Mallett: We made the choice from the start to deliberately build a culture of insane helpfulness. I can’t say that we use that phrase. We didn’t articulate that into those two words. We focused on providing
Ambarish Gupta, Founder and CEO of Knowlarity, discusses the business of selling SaaS to Indian SMBs.
Sramana Mitra: Where does the data come from? Where are you getting the data on which you are running your personalization? Diaz Nesamoney: We work directly with brands. Let’s take, for example, a large hotel chain. A lot of the people would go to the hotel chain website. There’s a tremendous amount of data there.