An overview of data warehousing and OLAP technology
ACM SIGMOD Record
A product perspective on total data quality management
Communications of the ACM
Communications of the ACM
Improving data warehouse and business information quality: methods for reducing costs and increasing profits
Designing data marts for data warehouses
ACM Transactions on Software Engineering and Methodology (TOSEM)
Conceptual Design of Data Warehouses from E/R Schema
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 7 - Volume 7
A comparison of data warehousing methodologies
Communications of the ACM - The disappearing computer
Modeling strategies and alternatives for data warehousing projects
Communications of the ACM - Supporting exploratory search
Data modeling techniques for data warehousing
Data modeling techniques for data warehousing
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This paper articulates data governance as one of the key issue in building Enterprise Data Warehouse. The key goals of this document are to: define the strategy for Data Governance processes and procedures; define the scope of and identify major components of the data governance processes; adhere to enterprise Data Management standards, principles and guidelines; and articulate a vision for building, managing and safeguarding enterprise data foundation. The client-centric focus of business organizations coupled with aggressive attention to the bottom line propelled initiatives such as Data Governance to the top of the list of IT and business executives. The recent financial crisis which spawned the worldwide economic meltdown has been to a great extent blamed on non-trustworthy and non-transparent data. It is becoming progressively and patently evident that data MUST be managed like other assets such as financial and human resources. It has to have defined and mandated set of controls where compliance can be objectively measured and reported.