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• The data modeler's challenge, part 2
• Measuring campaign results with NetIQ
• The data modeler's challenge, part 1
• Customer data matching techniques
• Customer de-duplication and merging
• Sharing info between departments with PeopleSoft
• Despite its troubles, Lotus makes comeback with Notes/Domino 6
• Managing user expectations
• Software vendor manages prospects with UpShot
• What to use for ETL: Tool or spool
• Revisiting the value of Web self-service
• Why does my wife get (so many) duplicate catalogs?
• Summarization -- Additional tips
• Media company consolidates customer data
• To summarize or not
• Restore a faltering BI project to the path of success: Part II
• Restore a faltering BI project to the path of success: Part I
• Market research firm gets Insightful
• Data warehousing resources in SQL Server
• Planning for success, post-deployment phase: Part 2
• Planning for success, post-deployment phase: Part 1
• Auditing the project
• InterlinkONE helps aggregate client data
• Resources playing multiple roles
• Offline -- Archived historic data extracts
• Deliver manageable components of data
• The key to CRM success: Data, technology and business strategy
• Taking business to the Web with Oracle
• Got the team?
• Always take the iterative approach
• Calculating ROI for business intelligence
• Siebel 7 and a single customer view
• CDI: The CRM dance every marketer must learn
• Be cautious when purging data
• Been there, done that
• Patient support from PeopleSoft
• A few data warehousing pointers
• The ETL restaurant, continued: Check, please
• The ETL restaurant
• Data warehousing mistakes
• WebTrends offers customer insight to GeoPassage.com
• Data location in packaged applications
• Many-to-many relationships
• State of Michigan goes online
• Could BI be easier than it sounds?
• Book review: Customers.com
• Quick and dirty business intelligence, part two
• Quick and dirty business intelligence, part one
• Preserving customer privacy with Acxiom
• Should you take on a failed BI project?
• Don't take the easy way out
• GoldMine helps int'l company get in synch
• User training for the data warehouse
• The twelve days of BI development
• The dimensional model: Keep it simple
• Naming standards
• Data warehousing query tools
• Staying competitive with Edify's call center technology
• Data warehouse ROI justification
• The benefits of using shared cubes
• Creating targeted marketing campaigns with SEDONA
• Choosing an OLAP product
• Golden oldies in project management
• Data model design
• BORN helps consolidate healthcare information
• Data warehouses are high maintenance
• The role of replication
• Stuck on a star
• Dow Jones turns to e-CRM
• ROI for CRM analytics
• Customer-specific pricing
• Data quality in the call center
• Arthritis Foundation handles customer growth with Talisma
• legacy application
• Lessons from a data warehousing disaster
• Understanding source systems
• Making use of your data
• Interface's relationship intelligence suits law firm
• Marketing through a recession
• Analytical applications
• Understanding the customer
• A shortcut to data warehousing
• Know your users
• The relationship between tables and dimensions
• Program management vs. project management
• Laundering your data
• Consulting firm finds ROI with Commence
• Project plans for data warehouses
• Sound without the fury
• Healthcare system gets the message to its patients
• Data warehousing death knells
• Definitions of data quality
• Can Business Intelligence be outsourced?
• Eddie Bauer discovers customer lifetime value
• The future of CRM employees
• The quest for knowledge, power and ROI
• One-to-one marketing software creates personalized campaigns for credit union
• Customer data mining and personalization
• Mortgage company improves customer experience with PAR3
• Selecting BI tools



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