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Enterprise Architecture with a specific architecture framework may be helpful in introducing strategic changes. One of the most recognisable tools for building a given architecture is
TOGAF belonging to The Open Group industrial consortium. TOGAF perfectly harmonises with the premises of Data Governance with respect to building a management and data
processing architecture, as well as with the premises of SOA Governance with respect to building a service-oriented architecture. Both concepts will be used under the above-mentioned
projects to build an appropriate ecosystem, which will be one of the key elements of the Industry 4.0 Platform.
The aim of the article is to present the premises and assumptions related to the data processing centre under construction as part of KGHM 4.0 Programme being implemented at KGHM
Polska Miedź. The structure of the article is as follows. The first part of the paper discusses the
concepts of Data Governance and SOA Governance, as they constitute the basic solutions of
the data processing centre under development at KGHM Polska Miedź. Next, the identified
problem related to the processing, management, and analysis of very large data sets as well as
reporting thereof in a large industrial enterprise, i.e. KGHM Polska Miedź, is presented. In
particular, the analysis covered issues related to Data Governance and SOA Governance. Consideration is also given to IT architecture and organisational structure as elements necessary to
develop a data and services governance centre. The article ends with a summary.
2 THEORETICAL FOUNDATIONS OF DATA GOVERNANCE
2.1 Data governance organisations
Large organisations such as KGHM operate relying on a number of area-specific systems
(e.g. ERP, CRM, BPM, Contract Management System, Procurement Support System, GIS,
industrial systems, etc.). Each of these systems stores and generates considerable amounts
of data, and Large-scale data processing is a daily reality. The management responsible for
individual business areas, as well as the Management Board itself, expect the information on
which decisions are based to be reliable (of high quality), consistent, and available in a timely
manner. The role of information in the decision-making process has increased in importance
and is just as important as material or human resources. It is essential that information is
stored and managed in a transparent manner, that it has a specific owner, that supervision of
access to information is ensured, and that the source and flow of data can be identified. A
wide range of activities according to specific standards and rules is defined by the term Data
Governance, which means the management and supervision of data. The implementation
of the Data Governance concept is not trivial and, depending on the level of maturity the
organisation wants to achieve, it may take from 2 to 5 years. During the implementation, it
is possible to take advantage of international non-profit organisations’ ready-made architectural frameworks. The most important of these are:
• DAMA International, DAMA (Data Management Association),
• Data Governance Professionals Organization (DGPO),
• The Data Governance Society,
• The Data Governance Council,
• Enterprise Data Management Council,
• IQ International – The International Association for Information and Data Quality,
• Data Governance Australia.
It is also worth mentioning that in addition to organisations that promote their approach
independent of suppliers, software manufacturers themselves provide their own architectural
frameworks such as:
• SAS Data Governance Framework,
• SAP Master Data Governance,
• IBM Data Governance Framework,
• Oracle Enterprise Data Governance.
Enterprise Architecture with a specific architecture framework may be helpful in introducing strategic changes. One of the most recognisable tools for building a given architecture is
TOGAF belonging to The Open Group industrial consortium. TOGAF perfectly harmonises with the premises of Data Governance with respect to building a management and data
processing architecture, as well as with the premises of SOA Governance with respect to building a service-oriented architecture. Both concepts will be used under the above-mentioned
projects to build an appropriate ecosystem, which will be one of the key elements of the Industry 4.0 Platform.
The aim of the article is to present the premises and assumptions related to the data processing centre under construction as part of KGHM 4.0 Programme being implemented at KGHM
Polska Miedź. The structure of the article is as follows. The first part of the paper discusses the
concepts of Data Governance and SOA Governance, as they constitute the basic solutions of
the data processing centre under development at KGHM Polska Miedź. Next, the identified
problem related to the processing, management, and analysis of very large data sets as well as
reporting thereof in a large industrial enterprise, i.e. KGHM Polska Miedź, is presented. In
particular, the analysis covered issues related to Data Governance and SOA Governance. Consideration is also given to IT architecture and organisational structure as elements necessary to
develop a data and services governance centre. The article ends with a summary.
2 THEORETICAL FOUNDATIONS OF DATA GOVERNANCE
2.1 Data governance organisations
Large organisations such as KGHM operate relying on a number of area-specific systems
(e.g. ERP, CRM, BPM, Contract Management System, Procurement Support System, GIS,
industrial systems, etc.). Each of these systems stores and generates considerable amounts
of data, and Large-scale data processing is a daily reality. The management responsible for
individual business areas, as well as the Management Board itself, expect the information on
which decisions are based to be reliable (of high quality), consistent, and available in a timely
manner. The role of information in the decision-making process has increased in importance
and is just as important as material or human resources. It is essential that information is
stored and managed in a transparent manner, that it has a specific owner, that supervision of
access to information is ensured, and that the source and flow of data can be identified. A
wide range of activities according to specific standards and rules is defined by the term Data
Governance, which means the management and supervision of data. The implementation
of the Data Governance concept is not trivial and, depending on the level of maturity the
organisation wants to achieve, it may take from 2 to 5 years. During the implementation, it
is possible to take advantage of international non-profit organisations’ ready-made architectural frameworks. The most important of these are:
• DAMA International, DAMA (Data Management Association),
• Data Governance Professionals Organization (DGPO),
• The Data Governance Society,
• The Data Governance Council,
• Enterprise Data Management Council,
• IQ International – The International Association for Information and Data Quality,
• Data Governance Australia.
It is also worth mentioning that in addition to organisations that promote their approach
independent of suppliers, software manufacturers themselves provide their own architectural
frameworks such as:
• SAS Data Governance Framework,
• SAP Master Data Governance,
• IBM Data Governance Framework,
• Oracle Enterprise Data Governance.