NEW YORK and SAO PAULO, Nov. 27, 2012 /PRNewswire/ -- Midas Medici Group Holdings, Inc. ("Midas") (OTCBB: MMED), an innovative IT infrastructure and managed services company, today announced that its CIMCORP brand has named Ricardo Giudice Vice President of Services. In this role, he will be leading the effort to expand CIMCORP's services offerings, providing a broader set of datacenter solutions its customers.
"This hiring is another step in our plan to provide a more robust solution set to our customers, increase our recurring revenues, and accelerate the growth of our private sector business," stated Nana Baffour, CEO and Co-Founder of Midas Medici. "Ricardo's background and leadership skills are a perfect fit for CIMCORP. We are excited about Ricardo's ability to enhance our customer relationships and increase our Net Promoter score."
Guidice, with over eighteen years experience in information technology, has deep experience across a full spectrum of IT services including managed services, hosting, networking, and systems integration. He was most recently at Softcorp, one of the five largest providers of software licensing in Brazil, where he was promoted to CEO after successfully leading sales and marketing. With a strong focus on customers and deep business development experience, his background includes the founding and eventual sale of .comDominio, a managed hosting company that is now part of Alog Datacenters.
"I am thrilled to be joining the CIMCORP leadership team," said Guidice. "I look forward to working with both new and existing customers to solve their toughest datacenter problems. CIMCORP is well positioned for success and I can't wait to begin working with the rest of the team."About Midas Medici Midas Medici Group Holdings, Inc. (OTCBB: MMED.OB - News) is a managed IT services and infrastructure company. Across its CIMCORP and UtiliPoint brand, Midas works with its customers by optimizing IT and data center investments, streamlining communications between departments, reducing costs and preventing data loss, all while maximizing productivity.