Guest post by Geoff Foulds.

“Data can give you an uplift or a depression, but the fundamental trajectory is not set by data. Design is the most important function.”

That was the surprising message delivered by Google Ventures’ Anish Acharya to a packed Startup Grind Toronto gathering back in September 2013.

Acharya knows what he’s speaking about. He and co-founder Jeson Patel launched and built the successful social gaming company Social Deck, then sold it to Google. Acharya was drafted to be the product manager for Google+ and saw it through launch. He is now a Google Ventures partner.

“What I see, especially in this space, it tends to draw brainy people but [it's] not necessarily the most people-oriented, so entrepreneurs develop something cool that not that many people want … a tech founder also has to be a product manager,” said Acharya.

Despite Google Venture’s big data DNA, Acharya said the focus of its investments is actually on “companies that have a culture and a rigor around data that is thoughtful, not on data per se.”

“The interesting opportunities in big data are not in the capture of it – there’s some in management –but the interpretation of it. Making sure that every stakeholder and every decision maker who needs to see the data does, and what it means.”

Our attitudes about data may need to change, he added.

“We grew up in a system that emphasized calculus over statistics. Calculus is closed solutions and statistics is probabilistic,” said Acharya. “That’s one of the reasons many of us had to spend some time understanding statistics … As a business community we’re getting better at that.”

On a practical level, Acharya says the challenges facing companies outside the Valley often come down to product leadership and community. He’s in a position to know. Social Deck was based in Toronto, but he and Patel invested a lot of time cultivating the Valley VC community.

“It’s tough to find the maturity of product leadership in Toronto, on the consumer product side in particular,” said Acharya. “You need to invest in mindshare presence in the Valley. They have a culture where they constantly interact with each other.”

Even so, Acharya isn’t advising Toronto startups to pull up stakes and head south of the border.

“The tactics we used in the App Store to drive distribution are not geography specific. So there’s no reason a company from Toronto can’t be a break out in any of these segments.”

 

To read more on startups leveraging big data, Roger Ehrenberg of IA Ventures also noted the urgent need for design excellence, in a recent ITBusiness.ca article on the flow of investment into big data startups.

This is a guest post by Geoff Foulds, CMO of AffiniD, a startup based in Toronto and San Mateo.

The next Startup Grind Toronto Fireside Chat is with Jos Schmitt, CEO of Aequitas on April 14, 2014. Startup Grind Toronto director Michael Cayley describes Aequitas, which is developing a new stock exchange and private exempt market platform backed by RBC, BCE, Barclay’s and others, as Canada’s most important startup.

 

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  • http://www.agileinfoways.com/ winfredable

    Many cities are now using big data analytics to e.g. analyze and predict congestion levels on their road and transport networks (among many other things). For example, camera data, traffic updates, whether information, train and bus location data, as well as Twitter messages and Facebook updates are all analyzed to get a realistic real time understanding of traffic levels. This can then be used to e.g. re-route busses and trains, increase or decrease the frequency of public transport on specific routes, re-route and optimize traffic flows, etc.

    http://www.agileinfoways.com/technical-expertise/web-and-graphics-design/web-design/

    There are so many other examples I could list. Basically, all parts of our lives will soon be affected by the analysis of big data.

    As always, please let me know your thoughts on the topic. Do you find it frightening or exciting? Do you see never-ending opportunities or are you worried about the ‘Big Brother’ effect and the exploitation of personal data?