RESEARCH & RESOURCES

Research & Resources

Research Reports

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 | Six Strategies for Enabling Users to Advance Faster with BI and Analytics Six Strategies Dundas checklist cover

    All organizations, no matter how big their budget, must overcome barriers in order to realize value from data faster. Those that have historically experienced centralized, IT-centric BI implementations must transition to flexible environments that embrace the increased use of self-service technologies. July 27, 2017 Read Now

  • TDWI Checklist Report | Using Hadoop for Data Warehouse Optimization

    Augmenting the conventional EDW design with Hadoop and Hive can help optimize your EDW by expanding usability, improving performance, improving results, and reducing overall costs. June 29, 2017 Read Now

  • TDWI Checklist Report | Architecting a Hybrid Data Ecosystem

    When numerous diverse data platforms are integrated for multiple use cases, it is called a hybrid data ecosystem (HDE), a concept invented and popularized by Enterprise Management Associates (EMA) in 2012. An HDE provides options for rapidly diversifying data and its business use. Despite the extreme complexity and challenges, users are succeeding with HDEs. This TDWI Checklist Report drills into the data requirements of the HDE with a focus on the role of data virtualization. June 2, 2017 Read Now

  • TDWI Checklist Report | Speeding the Path to Visual, Easier-to-Use Business Analytics

    The growing adoption of cloud computing and software-as-a-service (SaaS) is merging with easier-to-use business intelligence and analytics tools to allow more users to interact with and analyze data. This Checklist Report discusses seven recommendations to help organizations be successful sooner in enabling a data-driven culture through visual, easier-to-use business analytics. June 1, 2017 Read Now

Webinars

  • Empowering the Citizen Data Scientist: How You Can Expand the Business Impact of Analytics

    With analytics becoming increasingly essential to all aspects of business, many organizations are facing a crisis. They need data science so they can extract maximum value from data, but there are still too few data scientists to go around. Although data scientists continue to be important for advanced requirements, organizations can now democratize data science so that more executives, managers, and other business users can take advantage, empowering a new breed of “citizen data scientists.” November 16, 2017 View Now

  • Location Analytics for Your Data Lake: Driving New Business Insights and Outcomes

    Location information has been a growth area in recent years in data management, as user organizations of many sizes and industries have realized how location information can inspire new business insights, practices, and outcomes. In response, many users have reworked older enterprise data environments to enrich the data with more location information. At the same time they have begun capturing data from new sources that include location information, especially from sensors, machines, devices, vehicles, and the Internet of Things (IoT). Much of this new data is being managed in data lakes, which in turn are usually deployed atop Hadoop. November 30, 2017 View Now

  • Location Analytics for Your Data Lake: Driving New Business Insights and Outcomes

    Location information has been a growth area in recent years in data management, as user organizations of many sizes and industries have realized how location information can inspire new business insights, practices, and outcomes. In response, many users have reworked older enterprise data environments to enrich the data with more location information. At the same time they have begun capturing data from new sources that include location information, especially from sensors, machines, devices, vehicles, and the Internet of Things (IoT). Much of this new data is being managed in data lakes, which in turn are usually deployed atop Hadoop. December 5, 2017 View Now

  • Using Design Thinking to Unleash Creativity in BI and Analytics Development

    Design Thinking methods can help organizations overcome the limitations of traditional BI and analytics development. Design Thinking has enabled retail, banking, and other types of firms to revolutionize how they develop products and services to deliver exceptional customer experiences. These methods offer similar potential for unleashing your organization’s creativity in developing applications and services that delight internal users. With organizations under pressure to deliver higher ROI from data—and frustrated by BI and analytics applications and services that don’t meet users’ requirements or realize value from all the data that they have—now is the time to consider new approaches such as Design Thinking. December 6, 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

  • SAP

    SAP

    5 Reports to Help you Prepare for the Future of Analytics

  • informatica

    Informatica

    Data Management for Next-Generation Analytics

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