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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: The Modern Data Warehouse

TDWI Checklist Report | The Modern Data Warehouse: What Enterprises Must Have Today and What They'll Need in the Future

November 18, 2013

For organizations that need a modern data warehouse that satisfies new and future requirements, we offer a checklist of our top six recommendations. These can guide your selection of vendor products and your solution design.


TDWI Checklist Report | Hadoop Best Practices for Data Warehousing, Data Integration, and Analytics

October 29, 2013

This checklist of best practices can help users make sustainable decisions as they plan their first Hadoop deployments.


TDWI Checklist Report: Where Hadoop Fits in Your Data Warehouse Architecture

TDWI Checklist Report | Where Hadoop Fits in Your Data Warehouse Architecture

July 22, 2013

This TDWI Checklist Report discusses adjustments to DW architectures that real-world organizations are making today, so that Hadoop can help the DW environment satisfy new business requirements for big data management and big data analytics.


TDWI Checklist Report | Integrating Structured and Unstructured Data

February 11, 2013

The challenge of integrating structured and unstructured data will be a key factor for big data success. This report examines key planning directives and helps scope best practices for integrating structured and unstructured data as critical tactical components of a modern information strategy.


Seven Steps to Actionable Personal Analytics and Discovery

TDWI Checklist Report | Seven Steps to Actionable Personal Analytics and Discovery

October 16, 2012

Organizations today want to anchor daily and strategic decisions in a bedrock of solid, extensive, and timely analysis and reporting. Personal, self-service BI and analytics tools are now available that can give users more control over how they view and access the information they need to perform their roles in the enterprise. This TDWI Checklist Report details seven steps toward personal BI and analytics success.


TDWI Checklist Report: Analytic Databases for Big Data

TDWI Checklist Report | Analytic Databases for Big Data

October 4, 2012

This report presents a requirements checklist for analytic DBMSs with a focus on their use with big data. You will also learn definitions for the many techniques and tool types involved. The report will help you evaluate analytic databases and/or develop strategies for big data analytics.


TDWI Checklist Report Geospatial Analytics

TDWI Checklist Report | Using Location Information for Geospatial Analytics

September 26, 2012

This TDWI Checklist Report presents tips for aligning geospatial information with the business intelligence environment, empowering analytics to use location data to yield operational efficiencies, revenue growth, and other potential benefits.


TDWI Checklist Report // Operational Analytics: Balancing Business Benefits and Technology Costs

TDWI Checklist Report | Operational Analytics: Balancing Business Benefits and Technology Costs

September 5, 2012

This TDWI Checklist Report examines the business drivers and technology requirements for deploying operational analytics. The main objectives of the Checklist are to identify specific business benefits of operational analytics, review the ways these benefits can be achieved, and explain the potential trade-offs or IT costs involved.


Why MDM Needs Data Governance

TDWI Checklist Report | Seven Reasons Why Master Data Management Needs Data Governance

August 29, 2012

There are good technology and business reasons why master data management needs data governance. This TDWI Checklist Report drills into seven of these reasons as well as use cases and organizational situations where DG and MDM work well together.


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