Analytics and its requirements for data governance - an empirical research
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School of Business |
Master's thesis
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Authors
Date
2018
Department
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Mcode
Degree programme
Information and Service Management (ISM)
Language
en
Pages
62
Series
Abstract
The objective of this research was to find out requirements that analytics sets for data governance and to evaluate how well the selected data governance model supported mapping these requirements. The research was an empirical study, which included semi-structured interviews that were used to collect evidence supporting equivalent knowledge areas in the selected data governance model. Analytics in the context of this research includes business analytics, data mining and web analytics. The theoretical background contains description of different levels on how organizations may utilize various types of analytics and what kind of skills they require. The purpose of this was to create a more comprehensive understanding about the level of the organizations analytical capabilities and what kind of requirements these create for the organizations data governance. Our findings suggest, that the selected data governance model of DMBOK2 from Data Management Association (DAMA) correspondent well against the requirements collected through interviews. Utilization of this model in the organisation would most likely result in positive outcomes in analytics capabilities. It was also recognized, that not all data can be perfect at all times, but rather it is a cost versus benefit analysis on where to focus available resources. The most important knowledge areas of this model recognized through interviews were Business Intelligence and Data Warehousing, Data Quality and Meta-data. However, these are dependent on the organization and other factors, meaning that selection of data governance model should be done case by case taking these factors in consideration.Description
Thesis advisor
Merikivi, JaniKeywords
data governance, data quality, analytics, business analytics, web analytics, data mining