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TDWI Data Governance Principles and Practices: Managing Data as an Asset
Data is a critical resource for every organization. We depend on data every day to keep records, produce reports, deliver information, monitor performance, make decisions, and much more. The data resource is on par with financial and human resources as a core component of doing business, yet data management practices are often quite casual and unstructured.
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TDWI Data Quality Management: Techniques for Data Profiling, Assessment, and Improvement
Data quality is one of the most difficult challenges for nearly every business, IT organization, and BI program. The most common approach to data quality problems is reactive—a process of fixing problems when they are discovered and reported.
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TDWI Data Virtualization: Solving Complex Data Integration Challenges
The data integration landscape has changed radically the past few years. What was once a relatively manageable problem of blending and unifying data from enterprise transaction systems has grown to encompass external data, Web data, clickstream data, end-user data, big data, cloud data, and more.
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TDWI Data Integration Principles and Practices: Creating Information Unity from Data Disparity
Today’s business managers depend heavily on data analysis and decision-speed information, raising the stakes for data integration. At the same time, the work of integrating data has become increasingly complex.
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Governance and Compliance in the Age of Self-Service NEW!
You can build a modern data governance program to meet the dual challenges of enabling self-service and meeting compliance objectives. Donald Farmer lays out a new model for data governance that meets these competing goals, balancing the needs of business with the concerns of IT.
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TDWI Data Integration Techniques: ETL and Alternatives for Data Consolidation
Data integration is becoming increasingly complex as new expectations and technologies change the face of data warehousing and business intelligence. The design of data integration systems was comparatively straightforward when extract, transform, and load (ETL) was the only option.
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Data Catalogs – Finally a Mechanism to Tame the Chaos! NEW!
The data catalog is a key component of modern data management programs, connecting the business to needed information to power modern analytics and self-service, support analysis of data lineage and usage, and drive data governance. Learn the best practices and discover how to get started with this course from Claudia Imhoff.
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TDWI Master Data Management Fundamentals
Top-performing businesses need high-quality, low-redundancy reference data. You can’t manage a supply chain, service your customers effectively, or confidently report to stockholders when data is in disarray.
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Building Your Company’s Data Strategy
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Data Governance Bootcamp // TDWI Data Governance Principles and Practices: Managing Data as an Asset
Data is a critical resource for every organization. We depend on data every day to keep records, produce reports, deliver information, monitor performance, make decisions, and much more. The data resource is on par with financial and human resources as a core component of doing business, yet data management practices are often quite casual and unstructured.
more