Data governance is an emerging trend in enterprise information management. This paper explores the relationship between IT Governance and Data Governance. Sarbanes-Oxley (SOX) compliance requires accurate financial data and to achieve this IT controls are designed to ensure that data is correct and protected from unauthorised change. Data quality is measured by its accuracy, timeliness, relevance, completeness, trustworthiness and contextual definition. Good data quality requires effective data management. The research looks at the need for Data Governance to manage data effectively. This study examines a large organisation that has adopted an ad-hoc Data Governance model to manage its data. It was found that its data management efforts wer...
Achieving regulatory compliance, a 360 degree view on customer data, and an effective and efficient ...
The exponential growth of data within organisations necessitates the implementation of effective dat...
The exponential growth of data within organisations necessitates the implementation of effective dat...
Enterprises need data quality management (DQM) that combines business-driven and technical perspecti...
As organizations deploy business intelligence and analytic systems to harness business value from th...
Organizations have found that seemingly tedious data problems are fundamentally business problems, a...
Organizations have found that seemingly tedious data problems are fundamentally business problems, a...
Digitalization poses a number of challenges for companies. In particular, enterprise and IT architec...
One of the most significant challenges faced by senior management today is implementing a data gover...
Nowadays, data plays vital role in life of modern organizations. However, data management and especi...
High quality data is a key source of business value,but data quality issues in organizations are oft...
Abstract: Enterprises need corporate data quality management (DQM) that combines business-driven and...
Enterprises need corporate data quality management (DQM) that combines business-driven and technical...
The rapid increase in data generated by humans and machines has made companies aware of data’s strat...
Achieving regulatory compliance, a 360 degree view on customer data, and an effective and efficient ...
Achieving regulatory compliance, a 360 degree view on customer data, and an effective and efficient ...
The exponential growth of data within organisations necessitates the implementation of effective dat...
The exponential growth of data within organisations necessitates the implementation of effective dat...
Enterprises need data quality management (DQM) that combines business-driven and technical perspecti...
As organizations deploy business intelligence and analytic systems to harness business value from th...
Organizations have found that seemingly tedious data problems are fundamentally business problems, a...
Organizations have found that seemingly tedious data problems are fundamentally business problems, a...
Digitalization poses a number of challenges for companies. In particular, enterprise and IT architec...
One of the most significant challenges faced by senior management today is implementing a data gover...
Nowadays, data plays vital role in life of modern organizations. However, data management and especi...
High quality data is a key source of business value,but data quality issues in organizations are oft...
Abstract: Enterprises need corporate data quality management (DQM) that combines business-driven and...
Enterprises need corporate data quality management (DQM) that combines business-driven and technical...
The rapid increase in data generated by humans and machines has made companies aware of data’s strat...
Achieving regulatory compliance, a 360 degree view on customer data, and an effective and efficient ...
Achieving regulatory compliance, a 360 degree view on customer data, and an effective and efficient ...
The exponential growth of data within organisations necessitates the implementation of effective dat...
The exponential growth of data within organisations necessitates the implementation of effective dat...