Research & Resources

• Seven Ways to Liberate Data with a Platform for DataOps

  Existing enterprise infrastructures are engineered in a way that complicates some types of data provisioning. In this checklist, we will consider the benefits of a platform-based approach to DataOps that addresses some of these complexities. more

• TDWI Checklist Report | Five Data Engineering Requirements for Enabling Machine Learning

  This TDWI Checklist Report discusses best practices for data engineering and management to support machine learning with a focus on collecting, cleansing, transforming, and governing new types of data for analysis. more

• TDWI Checklist Report | Six Keys to Maximizing Big Data Benefits and Project Success

  This TDWI checklist discusses six important issues that organizations should address to start big data projects off right and then manage them to achieve objectives faster and with less difficulty. more

• Best Practices Report | Multiplatform Data Architectures

  To capture distributed enterprise data, big data, and other new data assets—plus leverage them fully for business advantage—user organizations are expanding and integrating their portfolios of data platforms and tools to create what TDWI calls multiplatform data architectures (MDAs). Download this report to learn what MDAs are and do. more

• TDWI Checklist Report | AI for BI: Six Strategies for Augmenting Business Intelligence with AI and Machine Learning

  This TDWI checklist discusses six best practices for gaining greater value from AI for BI and self-service analytics. Our objective is to help organizations accomplish projects faster and provide relevant and accurate insights that users can trust. more

• TDWI Checklist Report | The Modern Data Hub

  This TDWI Checklist Report presents seven recommendations for successful data hub design and use. It should help you understand the new direction that the data hub has taken as well as what you should demand when evaluating products and deploying a modern data hub. more

• TDWI Checklist Report | Achieving High-Value Analytics with Data Virtualization

  This Checklist Report discusses six areas that are critical to achieving high-value, business-driven analytics and the role data virtualization plays in realizing success in these areas. more

• TDWI Checklist Report | The Cloud Data Integration Primer

  A number of newly mature trends are making cloud-based data integration platforms, technologies, and user best practices more relevant than ever. more

• TDWI Pulse Report | Developing Data Strategy for IoT

  This TDWI Pulse Report discusses some best practices for developing an IoT data strategy. It examines the organizational as well as the data and analytics aspects of such a strategy. This includes organizational alignment, understanding the unique nature of IoT, and other issues at play when managing and analyzing this “new” kind of data. more

• TDWI Checklist | Five Data Management and Analytics Best Practices for Becoming Data-Driven

  It can be difficult to create an organization that thrives on data and analytics. This TDWI Checklist Report discusses best practices to build a program and an infrastructure for becoming data-driven. more

• Best Practices Report | Practical Predictive Analytics

  TDWI research indicates that it is in the early mainstream stage of adoption. Yet, even as organizations continue to adopt predictive analytics, many are struggling to make it stick. The purpose of this report is to explore concrete best practices for building and deploying predictive models in organizations. more