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TDWI Upside - Where Data Means Business

Contributor: David Loshin

David Loshin, president of Knowledge Integrity, Inc, (, is a recognized thought leader and expert consultant in the areas of data quality, master data management, and business intelligence. David is a prolific author regarding business intelligence best practices, as the author of numerous books and papers on data management, including the just-published “Practitioner’s Guide to Data Quality Improvement.” His best-selling book, “Master Data Management,” has been endorsed by data management industry leaders, and his valuable MDM insights can be reviewed at


All articles by David Loshin

Embracing Predictive Analytics (Part 1 in a Series)

The more you understand how algorithmic models work, the better the opportunities to engage the right set of data scientists and make them productive.

Data Warehouse Modernization: Developing the Implementation Road Map

Drastic transitions in your environment can't happen overnight. To ensure success, develop a phased approach to migrate to your new environment.

Agile Alternatives for a Modernized Data Warehouse Environment

The appeal of the agile technology alternatives goes beyond the potential for improved performance. They all represent approaches to augmenting the data warehouse environment in ways that reduce restrictions.

Assessing the Need for Data Warehouse Environment Modernization

At what point does it make sense to pursue a DW renovation program, and how can you effectively communicate its value?

What Motivates Data Warehouse Environment Modernization?

What criteria can you use to determine when it’s time to renovate your environment and assess candidate technologies to integrate within the enterprise? Start by asking questions from three critical perspectives.

A 4-Phase Approach to Socializing Business Analytics

How your BI team can communicate your focus on delivering solutions rather than the use of tools and technology.

What is a Customer?

Data Objects Data Standards and Master Data Management

You can only get the most out of your data warehouse if you have a uniform understanding of your data. Such fields as "customer" must mean the same to all business units. We explain what data standards are and why they are key to your success.

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