BI project management tips for implementation success
When profit margins are thin, business intelligence can make the difference for retail organizations
Data modeling concepts: How settings can increase application success
How to expand enterprise reporting and capitalize on benefits of BI
In-database analytics demystified
Advantages and disadvantages of XML shredding
How to shred XML with the DB2 XMLTABLE function
Shredding XML docs into relational tables with annotated XML schemas
Examples of single and bulk XML shredding of XML documents
Benefits of operational, real-time capabilities in smart systems
The importance and benefits of operational decision making
How to make operational decisions and data corporate assets
Next steps for business intelligence: Video
Improving ODBC application performance and coding
Business intelligence in healthcare: Special report
Business intelligence in financial services: Special report
Selecting ODBC functions for optimized SQL statements
For business intelligence success, culture counts as much as technology
Guidelines for managing data updates to optimize ODBC performance
Business intelligence in retail: Special report
How to capture metadata information, ETL rules with CA Erwin Data Modeler
Data Warehouse Platforms Product Directory
How to improve data quality on a tight budget -- a guide
Data quality management tips and best practices
Executing SQL statements using prepared statements and statement pooling
Database access security: network authentication or data encryption?
Static SQL vs. dynamic SQL for database application performance
An introduction to database transaction management
Designing for performance: Strategic database application deployments
Real-life examples of effective dashboard design
Q/A: Working with dashboard editors for streamlining and increased user adoption
Executive dashboards and data visualization trends and future outlook
Ten key elements for effective dashboard design
Top 13 master data management (MDM) buzzwords and definitions
Evaluating and selecting a master data management (MDM) vendor
Data models serve as blueprint for business intelligence, master data management projects
SearchDataManagement.com product directory library
William McKnight's contributions to SearchDataManagement.com
Business Intelligence Product Directory
Best practices for data warehouse access and reports
Similarities and differences between ROLAP, MOLAP and HOLAP
An introduction to data warehousing and decision support systems
Advantages of the multidimensional database model and cube modeling
Data warehouse architectures, concepts and phases
Data warehouse architecture: Beyond hub-and-spoke
Understanding benefits of business intelligence reporting, data mining
The importance of managing data assets
Data modeling for the business: What is a data model?
Are you ready for corporate performance management?
Fielded applications of data mining and machine learning
Simple data mining examples and datasets
The difference between machine learning and statistics in data mining
Using data merging and concatenation techniques to integrate data
Information and examples on data mining and ethics
What is a data rollup?
Calculating mode in data mining projects
An introduction to data mining
Data acquisition and integration techniques
Data Quality Management Software Product Directory
Best practices for data management system implementations
Dashboard editors streamline 'busy' dashboards and spur user adoption
Why new systems fail: Common reasons for project management failure
Meet the 2008 Data Management Products of the Year judges
Business intelligence consolidation can reduce complexity, costs
Beware of business intelligence users when planning for BI consolidation
Designing an MDM project plan
How to get started with master data management
Data management pros get career advice from new guide
Uncovering the new data governance trends, with Ventana Research
Master Data Management for the Enterprise
Exec explains IBM's Information On Demand (IOD) initiative
Thank you!
Data warehouse appliances -- in a nutshell
Exploring key trends in data integration for data warehouses
Understanding metrics for business process management
Business process management and IT process entities
Introduction to mining unstructured data
The business context for unstructured data mining: Three trends
Getting started with a customer data integration implementation
Data management and business intelligence jobs: Career advice and insight
An overview of Sarbanes-Oxley compliance software
Selling your boss on master data management
Automating Sarbanes-Oxley compliance: Understanding SOX software
IBM DB2 9 Fundamentals certification (Exam 730): Sample questions about tables, Part 7
Governance, risk and compliance software trends and best practices
Rethinking BI: Understanding the benefits of operational business intelligence
Master data management gets high ratings from Nielsen (case study)
IBM DB2 9 Fundamentals certification (Exam 730): Sample questions about tables, Part 6
Master data management as a service-oriented architecture enabler
Why do we need master data management systems?
Business benefits of managed master data
What is a master data management system?
Understanding master data management and service-oriented architectures, with IBM's Dan Wolfson
Sarbanes-Oxley compliance quiz: Are you SOX savvy?
Creating successful data stewardship programs, with Jill Dyché
How to develop a sustainable data integration plan for business intelligence projects
Data warehousing five-year outlook: Technology trends and tips
Effective data quality program management: Tips and advice