BigData week 2013


Big Data Week is one of the most unique global platforms of interconnected community events focusing on the impacts of Big Data. This infographic was created by Bloom Agency on behalf of Big Data Week using data supplied by DataSift and using Bloom Agency’s earned media planning tool, Whisper.

Click on the image above to find out more about the global conversation surrounding Big Data Week.

Trend: De waarde van Big Data

Digitaal Vermogen

We leven momenteel in een verregaande digitale economie (red. ‘Het Internet Ecosysteem’) waarbij sociale platforms als Facebook, Google, Twitter e.d. onbeperkt (gratis) toegang geven tot onze gegevens en gedrag middels de Sociale Identiteit die daar wordt aangemaakt. De Single Sign-On knop is de heilige graal die leidt tot connectie op basis van demografie en relevantie met de eindgebruiker. Het is de knop die toegang geeft tot de data van het profiel zelf, de referenties maar ook de aankopen en acties van een fan of gerelateerde klant.

Platte data vanuit de Social Media kanalen, zoals inmiddels aan het ontstaan is bij vele bedrijven, hebben niet direct een waarde. Pas na zinvolle correlaties, analytics en het opzetten van (additionele) verdienmodellen op de gevalideerde ‘fan’, ‘tweets’ en ‘like’ data kunnen (in)directe kasstromen gegenereerd worden. De waarde van het bedrijf, de organisatie of het…

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Top 10 Most Funded Big Data Startups

What's The Big Data?

startupsBig data is attracting a lot of venture capital. Of the many startups claiming big data as their business, who has received the most funding so far? CrunchAnalytics (which I wrote about here) provides an answer based on data from CrunchBase, showing us where VCs are placing their biggest bets:

Cloudera (5 rounds)                        $141 million        Apache Hadoop-based software, services and training

MuSigma (1)                                      133                         Data-Science-as-a-Service

Opera Solutions (1)                            84                          Data-Science-as-a-Service

10gen (6)                                             73.4                       MongoDB (open-source, document database)

Gauvus (3)                                          70                          Big data analytics solutions

ParAccel (3)                                        64                          Analytic platform

Talend (5)                                            61.6                       Application and business process integration platform

GoodData (5)                                     53.5                       Cloud-based platform and big data apps

DataXu (3)                                          45.8                        Digital marketing software

DataStax (4)                                       38.7                        Apache Cassandra-based big data platform

The 40 startups included in the CrunchAnalytics database have raised about $1.2 billion in venture capital. And…

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Coffee & Empathy: Why data without a soul is meaningless

That’s Qualtism (Kwalitisme): the search for the soul in everything that surrounds us in this over and over quantified society.


While on my way back from New York, for some odd reason I started playing around with Foursquare and plotting my check-in data using a handful of apps. Very quickly I realized two things: the amount of time I spend in airplanes has doubled every year since 2009, and when I am in San Francisco, I lead a very predictable life and go to only a handful of places — a lot.

Except for one small thing: While the data shows that I lead a pretty boring life, it doesn’t reflect the “emotions” behind the data. Why, you might ask, is this important? The answer is that as we move towards a quantified society, one shaped by data, we start to dismiss things that aren’t easily quantifiable. Empathy, emotion and storytelling — these are as much a part of the business as they are of life. Without these, we might as well…

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We can’t let the Internet of Things become the Tyranny of Things


If you’re one to track the Q rating of tech trends, then you know the cloud is so last minute and big data is good for little more than wrapping fish at Whole Foods. For 2013, it’s all about the Internet of Things.

Cisco, a company that stands to make a lot of money by bringing the network to the disconnected objects in our lives, has released a study exploring what the networking giant is re-branding the “Internet of Everything.” On the one hand, its content is comfortably predictable – essentially a wide-eyed promise that the market is going to be really, really big. More interesting though is the accompanying blog entry by CEO John Chambers, who doesn’t just summarize his company’s findings, but actually offers an important shoutout to the Internet of Everything Economy.

My belief is that the Internet of Things (IoT) will succeed or fail…

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How search can solve big data problems


There are many solutions for figuring out how to parse large amounts of data, but LucidWorks CTO Grant Ingersoll has a suggestion: use search. At GigaOM’s Structure:Data conference in New York City Thursday, Ingersoll laid out his case for why search is a big part of dealing with databases and indexes.

“Search should be a critical part of your architecture,” he told attendees. It is a system building block for any large problem you’re trying to solve that requires a ranked set of results. And it doesn’t have to be just text search, it can be for any type of search, he said.

Thinking beyond traditional search features, like keyword search, will help businesses solve those problems more easily too. And it lets organizations bring in many differing kinds of data sources and more effectively combine them.

And organizations that keep records of how people are using search to access…

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5 ways big data is going to blow your mind and change your world


Some people say big data is wallowing in the trough of disillusionment, but that’s a limited worldview. If you only look at it like an IT issue it might be easy to see big data as little more than business intelligence on steroids. If you only see data science as a means to serving better ads, it might be easy to ask yourself what all the fuss is about.

If you’re like me, though, all you see are the bright lights ahead. They might be some sort of data nirvana, or they might be a privacy-destroying 18-wheeler bearing down on us. They might be both. But we’re going to find out, and we’re we’re going to find out sooner rather than later.

This is because there are small pockets of technologists who are letting their imaginations lead the way. In a suddenly cliché way of saying it, they’re aiming for 10x…

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Big data needs people, leaders and real-time analytics: A Structure:Data 2013 recap


In the afterglow of GigaOM’s Structure:Data conference this week, a few big-picture trends and surprising quotes stuck with us. (Check out our live coverage here.)

Data needs people, my friend

Despite the much-discussed power of data, there are roles for people to play in big data projects. Data increasingly influences companies’ decision making processes, but several speakers hit on the notion that people should be involved in big data storage and analysis.

It all starts with a human question. Before machines generate answers, employees from many departments should feel empowered to ask good questions of data, said John Sotham, vice president of finance at BuildDirect.

Beyond questions, humans need to decide which algorithms to employ and which data to use to answer questions, said Scott Brave, founder and chief technology officer of Baynote.

In data science, machine use algorithms to make decisions with clean data for the sake…

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