Customer analytics: classification vs. segmentation
David Loshin (@davidloshin) on using analytics to pinpoint your best customers.
Author
David LoshinRSS
President, Knowledge Integrity, Inc.
President, Knowledge Integrity, Inc.
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 data management best practices, via the expert channel at b-eye-network.com and numerous books, white papers, and web seminars on a variety of data management best practices. His book, Business Intelligence: The Savvy Manager’s Guide (June 2003) has been hailed as a resource allowing readers to “gain an understanding of business intelligence, business management disciplines, data warehousing and how all of the pieces work together.” His book, Master Data Management, has been endorsed by data management industry leaders, and his valuable MDM insights can be reviewed at mdmbook.com . David is also the author of The Practitioner’s Guide to Data Quality Improvement. He can be reached at loshin@knowledge-integrity.com.
Ideas for addressing customer classification
David Loshin (@davidloshin) offers a new approach to addressing customer classification.
Pricing and decision-making
Data expert David Loshin (@davidloshin) delves into value pricing and customer analytics.
The avantage of understanding spheres of influence
.@davidloshin on the advantage of understanding spheres of influence.
The customer network: spheres of influence
.@davidloshin continues his blog series on customer connections.
Modeling the types of customer connections
.@davidloshin on modeling the types of customer connections.
Customers and connectivity
David Loshin (@davidloshin) discusses the importance of social media analytics.
The next step: enhancing the master data via data warehouse consolidation
David Loshin's new blog post: Enhancing the master data via data warehouse consolidation.
Leveraging master data management as a tool for DW consolidation
.@davidloshin on leveraging MDM as a tool for DW consolidation.
Considering success factors for data warehouse consolidation
The last thing you want to result from a data warehouse consolidation project is the creation of yet another siloed data asset that must be populated and managed with respect to the requirements of the downstream users. To really benefit from a consolidation project, your newly-created consolidated warehouse should replace