Two groups of data professionals did a deep dive into the many issues surrounding the mining, organizing, and presenting data on February 24th at the University of Texas at Austin’s School of Information (the UT iSchool). Iron Mountain sponsored and moderated the event. The opening panel on Data Wrangling discussed
The Software and Information Industry Association (SIIA) INFO Local: Austin chapter is excited to join Boston, London, San Francisco, and others in offering informative networking events to their thriving technology, media, publishing, and information service communities. Information Evolution’s own Matt Manning is one of the founding members of the local
Scalable bandwidth and burstable work pools are both terms used to describe crowdsourcing. Both of these terms, however, imply that workers are anonymous ID numbers performing tasks remotely and this can be dehumanizing to them. Because of this aspect of crowdsourcing, manager interaction with crowd workers is critical and improves
In the beginning, the heaviest users of online information services were librarians. For several decades now these ‘power-users’ have had incredible insight into how frequently and in what specific ways their end-users were using the electronic tools the librarians purchased for them. Librarians leveraged this information to inform their purchasing
NoSQL data stores have become more popular as a means of handling the petabytes of data created by user-generated content, GIS data, and the traffic logs of high-volume websites and apps. By storing data in “documents” with text encoded in formats like JSON, rather than in related “tables,” NoSQL repositories
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
Vendor Relationship Management (VRM) is a term used to describe tools designed for individuals and companies to manage their economic relationships. In other words, the user defines who they do business with (i.e., a “reverse” CRM system) and the “way” that they choose to interact with them. For instance, inbound
We tend to look at change as a feature of modern life, but I was reminded last week that publishing has always been a magnet for new technology. I had the opportunity to visit the Morgan Library, a must-see for all who love books. Exhibits included papers belonging to Charles
Changing an information service’s business model is risky business. If you built your model the right way, there are several revenue streams (multiple advertising opportunities based on a variety of delivery devices, multiple subscription options based on delivery frequency and the volume/type of content, ecommerce hooks of every conceivable type)
Last week we saw two great cases at IEI where “data exhaust” — data created incidentally as part of a particular data management process — turned out to hold great value for our customers. In both cases we took simple telephone verification processes designed just to confirm that an executive’s contact information was still
Have a data challenge? IEI has probably seen it, analyzed it and solved it before.
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