RESEARCH & RESOURCES

Research & Resources

Research Reports

  • Best Practices Report | Data Science and Big Data: Enterprise Paths to Success Data Science and Big Data BPR Dec 2016 cover

    Big data and data science can provide a significant path to value for organizations. Download this report for organizations’ experiences with and plans for big data and data science including both technology plans and organizational strategies. December 21, 2016 Read Now

  • TDWI Checklist Report | Data Modernization for the Telecommunications Industry

    Now is the time for the telecommunications industry to devise a strategy for modernization of the data management environment in ways that streamline the end-to-end processes for ingesting, transforming, loading, reporting, delivering, and analyzing data. This Checklist Report describes a vision for the future that includes using an architecture that leverages a hybrid environment combining traditional enterprise data warehouse (EDW) techniques with the ability to deploy augmentation tactics on big data environments, such as those built using the Hadoop ecosystem. December 2, 2016 Read Now

  • TDWI Checklist Report | Emerging Best Practices for Data Lakes

    Forward-looking businesses need discovery-oriented analytics, but discovery analytics tends to work best with large volumes of raw source data. The data lake enables analytics with big data and other diverse sources. This TDWI Checklist Report discusses many of the emerging best practices for data lakes. December 1, 2016 Read Now

  • TDWI Checklist Report | Emerging Design Patterns for Data Management

    This Checklist Report drills into some of the emerging design patterns and platforms for data that modern data-driven organizations are embracing. The goal of the report is to accelerate users’ understanding of new design patterns and data platforms so they can choose and use the ones that best support the new data-driven goals of their organizations. November 8, 2016 Read Now

Assessments

  • TDWI IoT Readiness Assessment TDWI IoT Readiness Guide Cover image

    The Internet of Things (IoT)—a network of connected devices that collect and interpret data over the Internet—is a hot and growing trend. These devices—which include sensors, RFID tags, and more—are in your home in smart appliances; you’re wearing them for health and wellness. They are on factory floors, in office buildings, on farms, and much more. IoT is being used by organizations to change their business model, improve operations, and improve the customer experience. Some view it as a competitive necessity. Read Now

  • TDWI Analytics Maturity Model

    TDWI has developed an analytics maturity model to help you determine the maturity of your organization's analytics initiatives when compared with other companies. The model provides the big picture of an analytics program, where it needs to go, and where you should concentrate your attention to create more value for your data. Read Now

  • TDWI Big Data Maturity Model

    TDWI developed the Big Data Maturity Model to describe the stages that most organizations follow when they embark on big data initiatives. The model provides the big picture of a big data program, where it needs to go, and how to get there. As organizations move through these stages, they gain more and more value from their investments. Read Now

  • TDWI Hadoop Readiness Assessment

    TDWI's Hadoop Readiness Assessment is an online questionnaire that asks how prepared you and your organization are to get full value from Hadoop. When you complete the questionnaire, the assessment tool immediately shows you scores that quantify your readiness for Hadoop. It is designed to help answer your questions about where to focus your best efforts with Hadoop. Read Now

Publications

  • TDWI Checklist Report | Rethinking Enterprise BI to Fit a Self-Service World Rethinking Enterprise BI to Fit a Self-Service World cover

    Business intelligence (BI) is becoming increasingly democratized, and realizing value from BI tools is no longer limited to an exclusive group with technical expertise. This Checklist Report focuses on how organizations can revise and revitalize enterprise BI in the age of self-service technology. March 15, 2017 Read Now

  • TDWI Checklist Report | Six Strategies for Accelerating ROI from Self-Service BI and Visual Analytics

    Organizations can unleash the potential of business intelligence (BI) and analytics by empowering users with greater freedom and flexibility in how they work with data. However, it is critical for organizations to improve ROI. This TDWI Checklist covers six strategic issues to address to realize higher ROI with BI and analytics. In some cases, our recommendations focus on traditionally enterprise-level concerns, such as governance. In others, we look at overcoming challenges to enable more users to meet dynamic business demands. March 1, 2017 Read Now

  • TDWI Checklist Report | Data Modernization for the Telecommunications Industry

    Now is the time for the telecommunications industry to devise a strategy for modernization of the data management environment in ways that streamline the end-to-end processes for ingesting, transforming, loading, reporting, delivering, and analyzing data. This Checklist Report describes a vision for the future that includes using an architecture that leverages a hybrid environment combining traditional enterprise data warehouse (EDW) techniques with the ability to deploy augmentation tactics on big data environments, such as those built using the Hadoop ecosystem. December 2, 2016 Read Now

  • TDWI Checklist Report | Emerging Best Practices for Data Lakes

    Forward-looking businesses need discovery-oriented analytics, but discovery analytics tends to work best with large volumes of raw source data. The data lake enables analytics with big data and other diverse sources. This TDWI Checklist Report discusses many of the emerging best practices for data lakes. December 1, 2016 Read Now

Webinars

  • Take a Dive into the Data Lake

    Many organizations have a serious interest in data lakes, at the moment, because of the business analytics and new data-driven practices that lakes promise. Yet, these organizations still aren’t quite ready to take a dive into a data lake. Whether they are unable to define standard structures, align and maintain business meanings, or create a governance strategy, these companies struggle to anticipate what truly lies beneath the surface of the data lake. March 29, 2017 View Now

  • Creating Value with Unified Governance

    Certainly, every business leader wants to have trusted, secure, consistent and usable information. But data volumes and systems complexity has been increasing for years and most organizations rarely prioritize data governance, so why care now? We’re at the brink of a perfect storm of unprecedented IT megatrends. The convergence of Cloud, Social, Mobile and Big Data foreshadows the upcoming tsunami of data ripe with potential business value. But it will also make the frustrating complexity of your traditional on-premises transactional data management challenges appear amazingly “manageable” in contrast. March 30, 2017 View Now

  • Data Lakes: Purposes, Practices, Patterns, and Platforms

    We’re experiencing a time of great change, as data evolves into greater diversity (more data types, sources, schema, and latencies) and as user organizations diversify the ways they use data for business value (via advanced analytics and data integrated across multiple analytic and operational applications). To capture new big data, to scale up burgeoning traditional data, and to leverage both fully, users are modernizing their portfolios of tools, platforms, best practices, and skills. April 13, 2017 View Now

  • End Your Data Struggle: How to Seamlessly Analyze Disparate Data

    Many organizations today are struggling to get value from their data and advanced analytics initiatives. The struggle begins with data diversity, as organizations are trying to support new apps, customer channels, sensors, and social media outlets. Each source may have its own data structure, quality, and container (in the form of files, documents, messages). The struggle is exacerbated by the exploding volume of data that must be captured, processed, stored, and delivered to the right users in a state that is fit for their own individual needs. April 25, 2017 View Now

White Papers

Best Practices Awards

TDWI’s Best Practices Awards program is designed to identify and honor companies and other organizations that have demonstrated best practices in developing, deploying, and maintaining solutions.

Solution Gateways

  • informatica

    Informatica

    Data Management for Next-Generation Analytics

Product Directory

Take advantage of the wealth of insight and information available from industry experts in TDWI's Online Directory. Access a network of highly qualified industry-specific suppliers.