People-Powered Data Enrichment Allows Companies to Focus on Insights Instead of Gathering
and Cleaning Data, Helping Unlock Real Potential of Big Data
San Francisco, Calif. – September 17, 2014 – The value of a Big Data program is only as good as the quality of the data that feeds it. And today data scientists, who are already some of the most in-demand professionals in the business world, report spending around 80 percent of their time gathering and cleaning data before they can begin to gain insights from it. CrowdFlower’s vision is to fully harness the power of human-powered data enrichment to free up data scientists’ time and help companies realize the real potential of Big Data.
“In a rush to capitalize on the amazing power of Big Data, too many companies are ignoring the importance of data quality in the equation and ultimately missing out on the real insights and value of their efforts,” said Lukas Biewald, founder and CEO of CrowdFlower. “The truth is that a bad analysis of good data is still infinitely more valuable than a good analysis of bad data. CrowdFlower is the fastest, most accurate way to collect, label and clean data to ensure a high level of quality.”
When working as a data scientist, Biewald realized what a huge challenge it was to obtain access to the reliable, complete data he needed to gain the insights he was seeking. At the time, his options were to gather and clean the data himself, hire a team to do it for him or outsource the work to a third party. Each option presented new costly or time-consuming challenges. CrowdFlower was founded to eliminate the lead time and overhead of traditional hiring, managing staff or outsourcing so that data scientists can do what they love: analyze data.
“CrowdFlower’s data enrichment platform has been an invaluable asset to our company, helping us not only scale our business but also significantly reduce our turnaround on key processes, all at a fraction of our previous cost,” said Pete Mannix, CTO & Co-founder of Venuelabs.
Today, CrowdFlower’s people-powered data enrichment platform helps companies like eBay, Edelman, EventBrite, Unilever, VMWare and Venuelabs produce fast, accurate results at a fraction of the cost of other methods. Utilizing a network of over five million contributors, data scientists can accomplish seven years worth of work in a single business day without the burden or costs of managing a team. The combination of human and artificial intelligence ensures consistent, high quality results and complete tasks computers cannot.
“Our business moves incredibly fast and our clients count on us to react and provide actionable insights on demand. CrowdFlower enables our teams to gather these rich quantitative and qualitative insights in a matter of hours, giving us the ability to make data driven decisions that keep us ahead of the fast paced digital/social landscape.” said Chris Lightner, executive vice president of analytics at Edelman.”
“Our computational pathology algorithms require human intelligence for image annotation to train the algorithms and to evaluate their performance. With CrowdFlower, we can efficiently access the crowd to enable the generation of large, human annotated datasets enabling our scientists to use knowledge from the crowd to improve our algorithms,” said Andrew H. Beck, PhD, MD at Harvard Medical School.
Founded in 2009, CrowdFlower is the leading data enrichment platform for data scientists. Its quality-control technology is the most accurate and fastest way to collect, label, and clean data from an on-demand workforce. The platform automates the management of these online contributors to tackle tasks that require human intelligence – like search relevance tuning, data categorization, image annotation, metadata creation, sentiment analysis, transcription, and de-duplication. Backed by Trinity Ventures, Bessemer Venture Partners, Harmony Partners and Canvas Venture Fund, CrowdFlower has over 150 customers including Unilever, Autodesk, eBay, Edelman, YP.com and VoiceBox.
Bhava Communications for CrowdFlower