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Shahram started DataCue in 2018. They detail the beginnings of their company in their Starter Story interview: 
Q: How did you get started on DataCue?
Ann and I started DataCue while on our honeymoon in Central America. In Cuba, we met a stranger who told us about a government-funded initiative for foreign entrepreneurs to start a business in Chile. I had previously founded a startup called Travel Iago in Singapore while working full-time as a data scientist at TripAdvisor. Ann was a management consultant at BCG in Singapore.
While working at TripAdvisor, I realized that only big companies have enough resources to access data to make the right business decisions. Small and medium businesses, on the other hand, lack resources and rely on their guts to make the next move. I've always felt that data should be democratized and accessible to all types of businesses. One of our missions at DataCue is to help small and medium businesses become better at using and understanding their data. While at TripAdvisor, I also noticed that most marketers spend time and effort focusing on paid channels like Google AdWords and Facebook Ads to bring traffic. However once their visitors land on the website, little is done to ensure that they end up with a purchase.
Ann shares my interest in online retail. She loves shopping online. Our daughter was recently born and while shopping for baby products, she noticed that her experience was far from desirable. Many websites, despite multiple visits at the same baby products, kept showing her the most irrelevant items like mobile and electronics. This infuriated her and she had to start her search from scratch.
So together, we believed we could do a better job. After we heard of this government-funded equity program in Chile from a stranger we randomly met in Cuba, we decided to apply. Once we were accepted, we both quit our jobs in Singapore and moved to South America to turn DataCue into a reality. And that's the start of DataCue in 2018.
Our first ever pitch
The problem was I was the only techie between the two of us and to build a digital product, this was not going to work. I told Ann she had to pick up coding and she spent a long time self-learning Python and Panda. Today, our algorithm that powers DataCue recommendations were developed by Ann. How far she's come truly impresses me.
While we have to pay clients and our product is working well and stable, our sales and marketing efforts still need a lot of work. We've come to understand that nailing marketing and sales is the only way to reach our revenue targets. This is our current biggest challenge this quarter to grow DataCue.