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Discovering Usage Patterns for Analytical Applications

It is important to determine expected usage patterns for business intelligence and analytical applications before design, and to evaluate their actual usage after implementation to gauge success. Building an analytical solution can be an arduous task.  Many factors are required

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Developing a Mission for Data Governance

Just as organizations require a vision for data governance it is important to have a mission for the data governance program as well.  Mission and vision statements are complementary and not synonymous. Definition of Mission Turning to the definitions of

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Five Trends in Governing Data for Digital-Driven Business Outcomes

Digital businesses use technology to create new value in business models, customer experiences, and the internal capabilities that support core operations.  Data Governance can contribute to effective digital business According to Accenture, “Digital businesses create competitive edges based on unique

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Data Warehouse Risks and Remedies

Every data warehouse and business intelligence initiative has risks.  Learn to identify them at the start and select the optimal remedy or mitigation technique to address each risk. It is essential to identify the potential risks within every project and

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Successful Information Quality Management Methods

An organization’s data quality is often the result of poor metadata management.  Improve business and technical metadata and manage it properly to ensure higher quality data and information. The state of an enterprise’s information depends on its data quality and

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6 Critical Dimensions for Measuring Data Quality

Data quality is dependent on achieving measurable goals across six critical dimensions All professionals understand the importance of making data-driven decisions. But the presence and usage of data do not guarantee efficient and productive results for any organization. What really

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Self-Organizing Project Teams

Agile project management requires self-organizing teams that can adapt to a variety of projects, including data warehousing, business intelligence, and analytics initiatives. Extreme Scoping is an agile project management approach for building data warehouse and business intelligence (DW and BI)

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Data Warehouse Automation Benefits and Use Cases

Explaining data warehouse automation can be challenging, but all data warehouse / business intelligence professionals should understand the concepts and practices. Data warehouse automation is not some sort of wizardry. It does not automagically build, model, and load a data

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