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 | Using Design Thinking to Unleash Creativity in BI and Analytics Development: Six Best Practices for Applying New Methods to Learning What Users Want and Improving Their Experiences

December 22, 2017

This TDWI Checklist Report discusses the ways in which design thinking can produce more effective BI and analytics solutions and reduce user frustration with ineffective tools.


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TDWI Checklist Report | From Self-Service to Data-Driven: 6 Ways a Data Catalog Can Help

December 8, 2017

As the importance of self-service solutions for BI, analytics, and data preparation continues to grow, the emphasis is no longer only on centralized, full-time data professionals and their institutional knowledge. We also must find a way to support the business’ needs with better-documented data assets. For many organizations, this is a data catalog.


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TDWI Checklist Report | The Intelligent Integration Hub: Managing Modern Data with Modern Best Practices

November 29, 2017

For organizations struggling to modernize their DM efforts, the intelligent integration hub provides a flexible and scalable foundation. This TDWI report examines the attributes and use cases of the intelligent integration hub.


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TDWI Checklist Report | Seven Industries Using Analytics for Business Value

November 14, 2017

This Checklist Report examines how seven industries are using analytics to drive value. These industries include finance, insurance, retail, healthcare,manufacturing, utilities, and technology/software/Internet.


TDWI Checklist Report | The Data Catalog's Role in the Digital Enterprise: Enabling New Data-Driven Business and Technology Best Practices

November 10, 2017

When we design and develop data management solutions, one of the first and most important steps is to catalog the data that will be captured, managed, analyzed, and shared. This TDWI report will examine the many components and functions of a modern enterprise data cataloging facility.


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TDWI Checklist Report | Open Source for Analytics: Trends, Opportunities, and Challenges

November 1, 2017

Open source has become popular, especially for big data and data science, because it is a low-cost source community for innovation, which appeals to many data scientists and analytics application developers— especially those who like to code.This TDWI Checklist Report discusses some best practices for evaluating open source analytics.


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TDWI Checklist Report | Best Practices for Maximizing the Potential of Mobile BI and Analytics

September 29, 2017

Mobile computing offers an unusual opportunity for organizations to innovate with new ways of improving employee productivity, partner and customer relationships, sales and service, and business transactions.


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TDWI Checklist Report | Six Strategies for Moving Enterprise Analytics to the Cloud

September 29, 2017

In the era of analytics, more businesses are taking advantage of ever-increasing amounts of data to become more competitive. The challenge is real and increasingly, business leaders are utilizing cloud services (including compute, storage, and analytics to scale) to support their needs.


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TDWI Checklist Report | Six Strategies for Advancing Customer Knowledge with Big Data Analytics

September 29, 2017

It is a competitive advantage to know more about your customers and to apply this knowledge to marketing, sales, support, and the development of products and services. By gathering together the assortment of big data available to them and applying advanced analytics and data science techniques, organizations can gain a detailed, contextual understanding of customers’ paths to purchase, what types of marketing strategies are most effective, and how customers influence -- and are influenced by -- other customers.


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