Authors:
Rodrigo Prado
1
;
Edmir P. V. Prado
2
;
Alexandre Grotta
2
and
Andre Montoia Barata
3
Affiliations:
1
EPAM – Enterprise Software Development, Design and Conculting , Krakow, Poland
;
2
IS Post-graduation Program (PPgSI), University of São Paulo (USP), São Paulo, Brazil
;
3
CitiBank, Data Governance Department, São Paulo, Brazil
Keyword(s):
Data Governance, Consulting Services, Case Study.
Abstract:
Data governance policies and procedures (DGPP) ensure proactive and efficient data management within the Enterprise context. Thus, DGPP corporate projects may result in positive impacts – we name benefits – to these companies. However, we found few studies reporting these benefits in-developing countries. Another gap is no evidence of a DGPP benefits model. Given this context, we first created a DGPP benefits model (DGB-M) via a Systematic Literature Review; we planned and conducted case studies at four different Brazilian industry sectors: agribusiness, fertilizers, automotive, and logistics. As main results, we have: (i) The DGB-M itself; (ii) evidence that 62% of the processes described by DGB-M were implemented by these four cases; (iii) evidence that 68% of the DGB-M benefits expected were achieved by these cases; and (iv) cases lessons learned. These results are highly relevant to forecast the benefits and challenges of future DGPP projects.