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
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
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
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 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
The buzz about crowdsourcing continues to get louder every day. The crowd can now, it seems, handle a range of tasks including journalism, design, and even filmmaking. If you’ve been asked to look into crowdsourcing as a way to stretch your budget and haven’t tried it before, however, you’ve probably
Crowdsourcing platforms give users a suite of tools to administer crowdsourced projects and access an on-demand pool of cloud labor. Social media sentiment analysis, image metadata appending, and data gathering tasks are routinely crowdsourced. Up-front investments are minimal. Other advantages include super-fast turnaround times and vast scalability. Currently, the primary
Products and services in all markets almost universally, sooner or later, reach a market penetration plateau. Once this limit is reached, there are only a few options when it comes to gaining market share: slow incremental growth at a significant cost; the acquisition of competing brands; and, the creation of
Quality control is one of the biggest challenges facing data management firms, especially those that rely on crowdsourced resources for some or all of their production. In an effort improve worker skills and accuracy for crowdsourced projects, I conducted a study under Dr. Matt Lease at the University of Texas
There are two primary ways to use managed crowdsourcing to collect data: result consensus analysis, and the creation of semi-private crowds. Consensus Analysis For clearly defined, “only one answer” questions—any piece of data where the format is always the same, usually a URL, an email, or a phone number—looping each
Have a data challenge? IEI has probably seen it, analyzed it and solved it before.
Keep on top of the information industry
with our ‘Data Content Best Practices’ newsletter:
Keep on top of the information industry with our ‘Data Content Best Practices’ newsletter:
Powering Data-Driven Innovation
