RESEARCH & RESOURCES

TDWI Checklist Reports

TDWI Checklist Reports provide an overview of success factors for a specific project in business intelligence, data warehousing, or a related data management discipline. Companies may use this overview to get organized before beginning a project or to identify goals and areas of improvement for current projects.


TDWI Checklist Report: Predictive Analytics Project Design

TDWI Checklist Report | Predictive Analytics Project Design: A Nine-Step Guide to Realizing Business Value

July 12, 2012

Ultimately, the effective utilization of predictive analytics is the goal-driven analysis of data to enhance business performance metrics. This TDWI Checklist Report examines the strategic steps that predictive analytics project teams must take in order to define, design, and implement successful projects.


TDWI Checklist Report: Satisfying New Requirements for Data Integration

TDWI Checklist Report | Satisfying New Requirements for Data Integration

June 27, 2012

Mounds of structured data, unstructured data, big data, and advancements in cloud technology are imposing new requirements for data integration. This TDWI Checklist Report will explore some of the key drivers these new requirements are intended to address. Whether you are looking to support the performance needs of big data applications, filter concepts from unstructured data, monitor hundreds of data feeds for unexpected behavior, export data across enterprise boundaries, or provide real-time reporting and analysis, there is a rapidly expanding need for data integration competency that extends well beyond traditional ETL.


TDWI Checklist Report: Strategic Planning for Big Data Management

TDWI Checklist Report | Strategic Planning for Big Data Management

May 9, 2012

This TDWI Checklist Report provides grounding for developing a strategic business intelligence (BI) plan for agility when adopting innovative data management and utilization techniques, while retaining a line of sight to corporate mission and corresponding business objectives.


TDWI Checklist Report: Data Replication for Real-Time Data Warehousing and Analytics

TDWI Checklist Report | Data Replication for Real-Time Data Warehousing and Analytics

April 2, 2012

This TDWI Checklist Report gives data replication the recognition it deserves, as a highly useful data integration technique for real-world applications in business intelligence (BI), data warehousing (DW), analytics, and general data management. But not all replication tools are created equal, and this report explains which capabilities you should look for in a tool.


TDWI Checklist Report // Hadoop: Revealing Its True Value for Business Intelligence

December 13, 2011

This Checklist Report clarifies the common points of confusion about Hadoop and its extended ecosystem and reveals the true value of Hadoop for BI, DW, big data, and analytics.


TDWI Checklist Report // Delivering Higher Business Value with Operational Business Intelligence and Real-Time Information

November 29, 2011

This Checklist Report examines the issues surrounding operational and real-time BI and helps you determine how to align their implementation with true business requirements and capabilities, to ensure greater success in reaching business and IT goals.


TDWI Checklist Report: Real-Time Data Quality

TDWI Checklist Report // Real-Time Data Quality

November 7, 2011

This TDWI Checklist Report drills into the details and desirable use cases for real-time data quality (RT DQ) to help user organizations understand what’s available and when to use it.


TDWI Checklist Report Preparing Your Organization for Master Data Management

TDWI Checklist Report // Preparing Your Organization for Master Data Management

October 18, 2011

This TDWI Checklist Report reviews opportunities where anticipating potential roadblocks can help improve planning, identify issues early in the program, and generally eliminate barriers to master data management (MDM) success.


Checklist Report Seven Steps to Implementing Data Discovery

TDWI Checklist Report // Seven Steps to Implementing Data Discovery

September 19, 2011

This report examines the role of data discovery in meeting critical information management objectives for understanding data quality and enabling master data management (MDM), data consolidation, and sensitive data protection.


TDWI Membership

Get immediate access to training discounts, video library, BI Teams, Skills, Budget Report, and more

Individual, Student, & Team memberships available.