THE ADVANCED ANALYTICS JUMPSTART: DEFINITION, PROCESS MODEL, BEST PRACTICES

Rose, Jeremy; Berndtsson, Mikael; Mathiason, Gunnar; Larsson, Peter

doi:10.4301/S1807-17752017000300003

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Articles • JISTEM J.Inf.Syst. Technol. Manag. 14 (3) • Dec 2017 • https://doi.org/10.4301/S1807-17752017000300003 copy

THE ADVANCED ANALYTICS JUMPSTART: DEFINITION, PROCESS MODEL, BEST PRACTICES

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

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 including semi structured interviews and content analysis we investigate the nature and value of the Jumpstart concept through five cases 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.

Keywords:
advanced analytics; big data; case study; best practice

	Company A	Company B	Company C	Company D	Company E
Management involvement	some top management involvement, business (middle) managers involved		production (middle) managers involved	some direct involvement of top management	financial (middle) managers involved
Analytics Experience	spreadsheets, simple data queries	no tools	spreadsheets, simple data queries	spreadsheets, simple data queries	spreadsheets, simple data queries
The Business Problem	less precise business problem	focused business problem, predictive analytics	focused business problem, predictive analytics	focused business problem, predictive analytics	focused business problem, predictive analytics
People and Analytics	some negative reactions	no obvious negative reactions	no obvious negative reactions	some negative reactions	encountered some negative reactions
The Jumpstart Project:	serious data quality problems, many people involved, deployment follow-up	small and stable core team, small-scale experiment	serious data quality problems, small and stable core team, small-scale experiment	serious data quality problems, several changes in the core team, small-scale experiment	small and stable core team, small-scale experiment

Reference	Date	Organisation	Type	Purpose
1	March 1 2016	Company A + Advectas	On site	Introduction to analytics project at Company A
2	May 11 2016	Company A (IT/IS)	Phone	Introduction to analytics project
3	May 31 2016	Company A (Head of analytics vision)	On site	In depth vision of analytics project
4	May 31 2016	Company A (IT)	On site	IT’s role in the analytics project
5	May 31 2016	Company A (Marketing)	On site	Business’ role in the analytics project
6	October 28 2016	Advectas	On site	Initial planning of case studies
7	November 22 2016	Advectas	Phone	Overview of case studies
8	December 16 2016	Advectas Consultant 1	Skype	Company D case
9	December 16 2016	Advectas Consultant 1	Skype	Company B case
10	December 21 2016	Advectas Consultant 2	Skype	Company A case
11	January 10 2017	Advectas Consultant 3	Skype	Company E case
12	January 20 2017	Advectas Consultant 4	Skype	Company Case
13	April 12 2017	Advectas (researchers + 6 consultants)	On site	Workshop: analysis validation and best practice development

Category	Feature	Company A	Company B	Company C	Company D	Company E
T1: Management	IT management involvement	x	x
T1: Management	financial managers involved					x
T1: Management	top managers involved			x	x
T1: Management	ambition to be data driven/organisational change	x			x
T1: Management	production managers involved			x
T2: Analytics	little experience/immature in analytics		x		x	x
T2: Analytics	experience with business intelligence	x
T2: Analytics	little trust for analytics	x
T3: Business problem	results in new decision/change/new hiring		x		x
T3: Business problem	driven by business	x		x		x
T3: Business problem	sales					x
T3: Business problem	clear business problem or hypothesis		x	x	x
T3: Business problem	marketing	x

TECSI Laboratório de Tecnologia e Sistemas de Informação - FEA/USP Av. Prof. Luciano Gualberto, 908 FEA 3, 05508-900 - São Paulo/SP Brasil, Tel.: +55 11 2648 6389, +55 11 2648 6364 - São Paulo - SP - Brazil
E-mail: jistemusp@gmail.com

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[1] Address for correspondence: Jeremy Rose, Professor of Informatics, University of Skövde, Skövde, Sweden. E-mail: jeremy.rose@his.se; Mikael Berndtsson, Assistant Professor of Informatics, University of Skövde, Skövde, Sweden. E-mail: mikael.berndtsson@his.se; Gunnar Mathiason, Assistant Professor in Computer Science, University of Skövde, Skövde, Sweden. E-mail: gunnar.mathiason@his.se; Peter Larsson, Advectas, Göteborg, Sweden. E-mail: Peter.Larsson@advectas.se