As the “big data” juggernaut* continues to build momentum, it is about time to pause and reflect on those things that are holding us back from realizing the true potential of data integration, overlays, and analysis. Mark Miller posted a great piece on MediaPost (“Three Steps To Dealing With Data
Updating an existing database (either CRM data or a data product) is a never-ending job that most people would like to avoid. We built Information Evolution primarily to address publishers’ need to keep on top of the shifting technology trends that can make this expensive and often thankless task as
Over our 17 years in business Information Evolution has a track record of wildly successful product launches to its credit. Among these were three MarTech start-ups we were involved in from their inception to their successful 8- and 9-figure exits. Other customers haven’t sold their firms, but continue to grow their
The recent DataContent track at the BIMS conference in Miami last week pointed to some very clear trends in data product development. Here are some of the memes we’re likely to hear a lot more about in 2015. Predictive Analytics: The ability to predict who is in the market to
No matter how many articles are written about the critical importance of data to the functioning of a modern enterprise, it remains a fact that keeping critical data up-to-date is only a reality for a handful of well-heeled firms. The senior executives at these companies know that a small slip-up
Heat maps—data represented graphically with individual values represented by colors—are an increasingly popular way to quickly convey a lot of information. To demonstrate this, we at IEI recently used a set of data on private investments made in the U.S. thus far in 2013 (data courtesy of our friends at
Over the past decade we have seen a phenomenal rise in the usage of high-end business-to-business information and regulatory compliance services. We predicted that this rise in these data-driven applications would require super-accurate data inputs and our massive growth since then has borne out that analysis. Along the way we
The Crowdsourcing Week DC Summit (their first US event) was a fascinating look at the broad range of work now processed by the crowd. From citizen volunteers collecting data for scientific research to Latin American homeowners collecting ambient sound data to train intelligent assistants such as Alexa and Cortana, the
Every information service wants their content to be discovered on the Internet and billions have been made serving that need. Lately there’s been a lot of talk about the “data discovery” technology that powers services like Outbrain, Taboola, nRelate (IAC), Gravity (AOL), Disqus, Scribol, and ShareThrough. Using a combination of
The idea that you, as an individual person or as a company, should be able to control information about yourself on the Internet has been around since the commercialization of the Web, but it does seem to be gaining more mindshare recently. The New York Times’ small business blog recently
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