Service Innovation and Data Mining, 4-6 April 2016, CENTRUM Católica, Business School, Perú

CENTRUM Research’s Industry Outreach Management Development Program on “Service Innovation and Data Mining”

It is time to become a Certified New Service Developer. Although executives are constantly directing their efforts to new service development and service innovation, little is actually known about how new services are actually developed. Nevertheless, one thing is for sure: the core of new service development remains the understanding of the demands of the customers. In this context, the advantages of new data mining techniques and technologies to acquire information of the customers’ needs and demands can translate into an increase of the success rate of service innovation.


  • Introduction to new service development.
  • Prototyping service innovation.
  • Various tools to measure the services.
  • Pros and cons of new service development (Private vs. Public).
  • Mining tools and association rules for mining.


Charles Vincent, MSc (Statistics), PhD (OR), PDRF (OM), is currently with CENTRUM Católica Graduate Business School, PUCP, Lima, Peru, as the Director of CENTRUM Research and as a Distinguished Research Professor. He is an Honorary Professor of Maastricht School of Management, The Netherlands. He is also a post-doctoral research fellow from NUS, Singapore. He is a certified Six Sigma Black Belt and a Sig Sigma Master Black Belt. He holds Executive Certificates from the MIT Sloan School of Management and Harvard Business School. He has almost 17 years of teaching, research, and consultancy experience in various countries, including India, Malaysia, Peru, Singapore, and the USA, in the fields of applied quantitative analytics. He has published over 80 research papers. He is a recipient of many international academic honors and awards. He won the 2013 award in the category of The Most Innovative Study from the Premio PODER to Peru’s Think Tank of the Year, the 2013 award in Summer Grants (competition) from the Emerging Markets Institute (EMI) of Johnson Cornell University, USA (along with Nagesh Gavirneni) and also the best research paper award (2006) in Finance from the Centre for Financial Excellence, KLS’ IMER, Belgaum, India. Additionally, in 2012 he received the Best Paper Award from the ESIC Market Best Papers Awards CLADEA 2012. For three consecutive years, 2010-12, he was the recipient of the Highly Commended Award of the Emerald/CLADEA Latin American Management Research Fund Award and for five consecutive years, 2010-14, he was the recipient of CENTRUM’s annual research contribution award. He has published books with Pearson Prentice Hall and Cambridge Scholars Publishing, UK.

Ali Emrouznejad is a professor of Business Analytics in Operations and Information Management Group at Aston Business School, UK. His areas of research interest include performance measurement and management as well as data mining and big data. Dr. Emrouznejad is editor or associate editor in several respected Journals including Annals of Operations Research, Socio-Economic Planning Sciences, and IMA Journal of Management Mathematics. He has published over 80 articles in top ranked journals and several books including “Applied Operational Research with SAS” (CRC Press), “Performance Measurement with Fuzzy DEA” (Springer), “Managing Service Productivity” (Springer), and “Handbook of Research on Strategic Performance Management and Measurement Using DEA” (IGI Global). He is also co-founder of Performance Improvement Management Software (PIM-DEA), see

Who should attend? This Management Development Program is aimed at middle and senior-level executives in any industry who are involved directly or indirectly in new service development and data mining and who wish to better understand their customers and adapt to the fast-changing markets.

MDP Materials: Lecture notes will be provided in both English and Spanish.

Language of Instruction: English.
Venue: Sheraton 4 Points, Calle Alcanfores 290, Miraflores, Lima 18, Peru.

Registration Fee: S/. 1500 (Group discount available)

Program Details: For details, kindly contact / /

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