This Week in Predictive Analytics: Predictive Analytics and HR

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Predictive Analytics and Big Data have been adopted by many industries, but Human Resources departments seem to be lagging this trend. Companies that wish to hire, train, and retain the best and most qualified employees need to utilize analytics to maintain their advantage. The days when employees worked for decades for the same corporation are gone. Today’s businesses have to deal with more frequent employee turnover, while trying to understand and get ahead of it. How can you tell which employee is going to leave, when and why? Which prospect is the right fit for the new position? Predictive Analytics can help companies find the answers.

Predictive Analytics: Why HR is Picked Last on the Playground – Ideal Candidate

How big data drives successful practices in HR – Ceridian

Ingo Mierswa

Ingo Mierswa

Ingo Mierswa is the founder and president of RapidMiner and an industry-veteran data scientist since starting to develop RapidMiner at the Artificial Intelligence Division of the TU Dortmund University in Germany. Mierswa, the scientist, has authored numerous award-winning publications about predictive analytics and big data. Mierswa, the entrepreneur, is the founder of RapidMiner. Under his leadership RapidMiner has grown up to 300% per year over the first seven years. In 2012, he spearheaded the go-international strategy with the opening of offices in the US as well as the UK and Hungary. After two rounds of fundraising, the acquisition of Radoop, and supporting the positioning of RapidMiner with leading analyst firms like Gartner and Forrester, Ingo takes a lot of pride in bringing the world’s best team to RapidMiner.