PRESS RELEASES

PE-backed IRI Appoints SVP of Global Talent from Search by Hanold Associates

PE-backed IRI has appointed Andrea Haan as Senior Vice President of Global Talent. Hanold Associates’ Neela Seenandan, Mayank Parikh and Sonia Nagra led the search for this Chicago-based role.

Andrea Haan comes to IRI from Allstate Corporation where she held many leadership roles. Reporting to the Chief Human Resources Officer of IRI, Evan Swidler, Ms. Haan will work to define, develop and implement unified, clear strategies and processes for the talent function throughout the organization globally. She will connect with leaders and lead discussion throughout the organization, ensuring that the talent acquisition and management strategies are providing the best possible workforce for each business unit, now and in the future.

‘Andrea is an exceptional Talent leader who will be a great addition to IRI’s already stellar HR team. Having a well-rounded leader like Andrea, who has deep functional expertise and strong business acumen, will enable IRI to make significant progress on their people goals at a crucial time during their growth journey. We’re excited to see what they accomplish together,’ said Mayank Parikh, Partner on the search.

Information Resources Inc (IRI) got its start as a big data company decades before the term existed. Founded in 1979 by John Malec and Gerald Eskin, the organization started out gathering point-of-sale data from bar code scanners and used insight to drive marketing and business decisions.

Today, backed by New Mountain Capital and Vestar Capital Partners and under leadership of CEO Andrew Appel, IRI is a leading technology and services provider in the big data and marketing industry. IRI integrates the world’s largest set of otherwise disconnected purchase, media, social, causal and loyalty data to help CPG, retail, over-the-counter health care and media companies grow their businesses. IRI is enabling the era of personalization by providing the largest, richest dataset, predictive analytics and predictive models to figure out which consumers want which products.