Recently, CrowdFlower blogged about de-duplicating records in a merged CRM database using crowdsourcing. The article suggested that this kind of data is often too wildly divergent to be de-duped automatically. At IEI, we’ve found: Most CRM data is similar (first name, last name, email, phone, etc.) and easy to standardize
Here are a few of my favorite moments from the DataContent 2013 conference, which was, as always, a unique opportunity to learn more about what’s going on in our industry. Marketing Subscription Data Services bootcamp—Russell Perkins and Minal Bopaiah did a great job of giving us a lot of interesting,
The 2013 DataContent conference just wrapped up yesterday and, once again, it offered outstanding insight into the innovation going on in our industry. Here are my favorite highlights from the show: RetailNext: Founded by some ex-Cisco engineers in 2007 these folks use heat sensors in retail shops to track traffic
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
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
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
We manage a lot of data at IEI and, more often than not, I find that the key to cleaning up and improving the data we get lies in where the data came from in the first place – in other words, its “provenance.” Data “sources” roughly fall into these
Competitive intelligence (CI) is a craft used primarily by large, multinational corporations—think Nestle, IBM, and Novartis—to steer strategy. Keeping an eye on technology developments, competitor sales data, or the movements of key industry players are all common CI practices and, while many may confuse CI with corporate espionage, most of
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
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
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