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Publication
A Data Governance framework and a roadmap for practical implementation
| Name: | Description: | Size: | Format: | |
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| 4.35 MB | Adobe PDF |
Abstract(s)
Businesses have increasingly adapted to the fact that data serves as an asset that adds value
to the trade. To deal with the growing complexity of data in the digital age, authors highlight
the importance of Data Governance. Despite not having a single definitive description in the
literature, Data Governance is broadly referred to as the exercise of authority and control
over the management of data, encompassing planning, monitoring, and enforcement.
Anova, an Industrial Internet of Things company, felt the need to develop a Data Governance
solution to support the challenges related to the management of their data, especially
regarding lack of undefined roles and responsibilities, lack of defined policies and processes,
lack of stakeholder knowledge on Data Governance and low data quality.
The objective of this dissertation was the development of a Data Governance framework and
implementation roadmap for Anova, through a Design Science Research approach. This
methodology is made up of six phases, which involve problem identification and motivation,
definition of the objectives for a solution, design and development, demonstration,
evaluation, and communication of the artifact. Each of these phases has been successfully
completed. The design and development followed literature directions that proved to be more
suitable for Anova's case. Focusing on a firm-wide approach aiming to develop a data quality
strategy, first the formal structure, governance bodies, and accountabilities were arranged,
defining roles, responsibilities and the allocation of decision-making authority; followed by
procedural mechanisms such as data strategy, policies, standards, processes and procedures;
and lastly, the description of the tools that facilitate the cooperation between stakeholders.
With the framework at hand, it was possible to elaborate an implementation roadmap tailored
to Anova's specific context. During the demonstration and evaluation phases of the Design
Science Research methodology, it was possible for Anova to assess the contribution of the
artifact within the company. The artifact building process has already proven to be useful
for the company, as it served as an evaluator of its current state and has had a positive impact
on creating awareness of data-related issues within the company. Although the company
does not plan on implementing the framework yet, this dissertation is intended to serve as a
basis for future application.
Description
Keywords
Data governance Framework Implementation roadmap critical success factors Design science research