The advanced analytics Jumpstart: definition, process model, best practices

Companies are encouraged by the big data trend to experiment with advanced analytics and many turn to specialist consultancies to help them get started where they lack the necessary competences. We investigate the program of one such consultancy, Advectas - in particular the advanced analytics Jumpstart. Using qualitative techniques we investigate the nature and value of the Jumpstart concept through five projects in different companies. We provide a definition, a process model and a set of thirteen best practices derived from these experiences, and discuss the distinctive qualities of this approach.

[1]  M. Traynor.  Focus group research. , 2015, Nursing standard (Royal College of Nursing (Great Britain) : 1987).

[2]  Linda Shields,et al.  Content Analysis , 2015 .

[3]  Paul A. Swatman,et al.  Structured-case: a methodological framework for building theory in information systems research , 2000, ECIS.

[4]  Helmut Krcmar,et al.  Big Data , 2014, Wirtschaftsinf..

[5]  Wu He,et al.  International Journal of Information Management Social Media Competitive Analysis and Text Mining: a Case Study in the Pizza Industry , 2022 .

[6]  Paulo S. C. Alencar,et al.  2016 Ieee International Conference on Big Data (big Data) Software Engineering for Big Data Projects: Domains, Methodologies and Gaps , 2022 .

[7]  Barbara Wixom,et al.  Maximizing Value from Business Analytics , 2013, MIS Q. Executive.

[8]  Shvetank P. Shah,et al.  Good Data Won't Guarantee Good Decisions , 2012 .

[9]  B. Berelson.  Content analysis in communications research , 1952 .

[10]  Dominic Barton,et al.  Making advanced analytics work for you. , 2012, Harvard business review.

[11]  Jeffrey S. Saltz,et al.  The need for new processes, methodologies and tools to support big data teams and improve big data project effectiveness , 2015, 2015 IEEE International Conference on Big Data (Big Data).

[12]  Jeremy Rose,et al.  Low Cost Text Mining as a Strategy for Qualitative Researchers , 2017 .

[13]  D. Delen,et al.  Business Intelligence and Analytics: Systems for Decision Support , 2014 .

[14]  Roy van Beest.  Project Intelligence: is Data Analytics the new path to value? , 2016 .

[15]  Kathleen M. Eisenhardt,et al.  Theory Building From Cases: Opportunities And Challenges , 2007 .

[16]  Rüdiger Wirth,et al.  CRISP-DM: Towards a Standard Process Model for Data Mining , 2000 .

[17]  Joe Peppard,et al.  Why IT Fumbles Analytics , 2013 .

[18]  Robert Winter,et al.  Business Intelligence Maturity: Development and Evaluation of a Theoretical Model , 2011, 2011 44th Hawaii International Conference on System Sciences.

[19]  Izak Benbasat,et al.  The Case Research Strategy in Studies of Information Systems , 1987, MIS Q..

[20]  Richard Vidgen,et al.  Management challenges in creating value from business analytics , 2017, Eur. J. Oper. Res..

[21]  Thomas H. Davenport,et al.  Analytics at Work: Smarter Decisions, Better Results , 2010 .

[22]  Victor Chang,et al.  A review and future direction of agile, business intelligence, analytics and data science , 2016, Int. J. Inf. Manag..

[23]  Veda C. Storey,et al.  Business Intelligence and Analytics: From Big Data to Big Impact , 2012, MIS Q..

[24]  T. Davenport,et al.  Data scientist: the sexiest job of the 21st century. , 2012, Harvard business review.