Twitter, DataSift, platforms
Twitter, DataSift, platforms: Many of you will know that Twitter unexpectedly cancelled it’s [sic] contract to allow DataSift to resell Twitter data to 3rd parties. I read the declarations by industry analysts on Twitter that this was “proof that you can’t build a business on somebody else’s platform” and perhaps DataSift should have known better. […]
How to Lie with Data
Back in the early Nineties, I was working on a Ph.D applying a tool called a Geographic Information System (GIS) to the challenge of modelling archaeological deposits under cities. For those of us worrying about these things, Mark Monmonier‘s then-newly published first edition of How to Lie with Maps was required reading. It wasn’t so much a handbook […]
Teradata Labs President Scott Gnau discusses the evolving data analytics market
With all the noise around newer technologies such as Hadoop, it would be easy to assume that the data analytics space is new — and totally dominated by the NewSQL/ NoSQL tools pouring out of the world’s startups. It would be easy. But it would also be wrong. Data analytics, business intelligence, and related ideas are not new. […]
Seeking Simplicity’s Sweet Spot
Albert Einstein, you may have heard, was a clever man. He scribbled equations on blackboards, thought big thoughts, and all of that. But, allegedly, he also said Everything should be made as simple as possible, but not simpler. These words have resonated with me recently, as I’ve heard pitches from one company after another, all […]
Find the data, aggregate the data, make the data useful
I was in New York in March, taking part in GigaOM’s Structure:Data event. As usual on these trips, I spent the day before the event walking around the city, soaking up some air, getting rained on, using coffee to stay awake, and meeting with a number of local companies. Of the companies I met that […]
Visualisation – the key that unlocks data’s value?
As the Big Data hype machine continues its relentless attempt to gobble everything in its path, new business units and entire new domains buying into the promise find themselves faced with unanticipated data volume and complexity. They see the potential for data-based decision making, but still face (short-term?) challenges in actually managing, analysing or interpreting […]
Doing the DataBeat
For the past two years, Ben Kepes and I have helped the team at VentureBeat assemble the programme for their annual Cloud Computing event, CloudBeat. It looks as though we may end up doing something similar with them this year, as CloudBeat moves from Redwood City to downtown San Francisco, and from November to September. […]
Commoditizing Data Science
My ongoing conversations with several people continue to reaffirm my belief that Data Science is still perceived to be a sacred discipline and data scientists are perceived to be highly skilled statisticians who walk around wearing white lab coats. The best data scientists are not the ones who know the most about data but they […]
