In 2010, the Association for Computing Machinery (ACM) posited the three conditions that would make crowdsourcing a common, everyday process. Over the last five years crowdsourcing has matured a lot, and it seems these three conditions have now been met. These are the three requirements the authors suggested. 1. What
The Data Day Texas conference in Austin once again brought together hundreds of folks in the Texas big data community for one data-filled day. Here are the presentations that we thought were “best of show.” Lisa Green, Director of Common Crawl, discussed the challenges of capturing open data at web
The recent news that Dun & Bradstreet purchased data-dealer turned data management service provider NetProspex further advances two seemingly contradictory corporate storylines for the B2B data industry’s bellwether. This may be another in D&B’s string of acquisitions designed to buy the company’s way into the future. Or, this could be
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
Large media companies are moving away from paying in-house staff to create proprietary online content and favoring two lower-cost models for content creation — user-generated content (UGC) and crowdsourcing-generated content (CGC). Since these two approaches are often confused with each other, it’s worth looking more closely at the real differences
A recent article in the SF Chronicle gave a vivid, very visual, demonstration of the power access to “public” data can have in municipal policy debates. The story covered companies that match buyers and sellers of services often heavily taxed by municipalities: taxis and hotels. Specifically, it looked at their
We built Information Evolution to pursue the holy grail of database ownership: true real-time accuracy in a world where databases degrade at a rapid pace. A lofty goal, but today we do see cases where large-scale monitoring systems come within spitting distance of making this goal a reality. The methodology—harvesting-monitoring-updating—is
It’s expensive to staff a call center with full-time, highly trained callers. There are also substantial upfront and ongoing costs for technology—routing, dialers, headsets, etc. When you add the fact that projects are often seasonal and need both lightning-fast execution and high-quality results, managing telephone-based projects can seem almost impossible.
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