This TDWI Checklist focuses on how organizations can develop strategies for improving operational intelligence, particularly by realizing value from IoT data.
December 14, 2018
This TDWI Checklist Report discusses three broad areas of best practices for helping to make machine learning, and those involved with it, successful.
December 14, 2018
In this checklist, we explore the concept of hybrid transaction/analytical processing (HTAP), an alternative architecture that enables analytics to be performed in concert with transaction processing. We will present best practices for taking advantage of this alternative architecture to enable real-time analytics.
December 10, 2018
In addition to automation using AI, next-generation data catalogs often contain new features such as crowdsourcing and collaboration. This TDWI Checklist describes five ways modern data catalogs drive business value.
December 7, 2018
TDWI's IoT Data Readiness Assessment is an online questionnaire that asks how prepared your organization is for the Internet of Things, specifically for IoT data. When you complete the questionnaire, the assessment tool immediately shows you scores that quantify your readiness for handling IoT data. It is intended to help you determine where to focus your efforts with IoT.
The TDWI Advanced Analytics Maturity Model is designed to help assess your current use of advanced analytics and how that compares to others. It provides a framework for companies to understand where they are in the journey, where they’ve been, and what they still need to do to succeed with technologies including predictive analytics and machine learning.
The TDWI Self-Service Analytics Maturity Model Guide is designed to help you understand the phases of maturity in self-service analytics, interpret your assessment scores, and provide best practices to move you forward. Its insight and advice can help you quickly advance your self-service analytics initiatives to gain more value.
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.
Time spent cleaning data is eating away at the time available for analysis. What steps can your enterprise take to get analytics back on track?
December 20, 2017
Read this e-book to find out what it means to be driven by data and what it takes to transition to such a culture.
May 1, 2017
Download this e-book to learn some key strategies for analytics success in the cloud, as well as an illuminating case study study of the benefits of a hybrid approach from the award-winning AMC Network.
October 28, 2016
Download this e-book to read articles, opinions, and interviews on data management trends and how enterprises are changing the way they deal with data.
September 8, 2016
Data is evolving into larger volumes from new sources in a wide array of structures, containers, and interfaces. An expert panel discusses data management trends, including new data platforms (Hadoop, cloud computing, and columnar databases), cloud data management, advancements in data catalogs and metadata, and data governance and stewardship.
December 18, 2018
Learn about key trends in BI and analytics based on research findings in a just-published TDWI Best Practices Report: "BI and Analytics in the Age of AI and Big Data." We'll cover priorities for augmenting BI, analytics, and data preparation with new AI capabilities, in particular to capture value from big data and cloud data systems.
January 16, 2019
This webinar will discuss the business benefits of data lakes, the benefits of deploying a data lake in the cloud (and how use cases and technology requirements affect your platform choice), and why substantial data integration is necessary.
February 20, 2019
Data enables many types of business opportunities unimaginable even a few years ago—from predictive analytics to artificial intelligence to the Internet of Things. There are a variety of tools, platforms, and frameworks now available to enterprises to better manage their data.
December 1, 2018
We get it—you’re sick of all the manual mapping required to sort out inconsistencies in your data. You’re sick of going in blind to find and fix errors. Most of all, you’re sick of that feeling that you’ve been tasked with MISSION IMPOSSIBLE.
November 1, 2018
Download this whitepaper and learn how data virtualization facilitates a multipurpose data lake by allowing a broader and greater use of the data lake investment without minimizing the potential value for data science or for making it a less flexible environment.
October 1, 2018
Today, in a world of AI and machine learning, data has a new role—becoming essentially the source code for machine-driven insight.
September 1, 2018
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.
Data Management for Next-Generation Analytics
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.
Individual, Student, & Team memberships available.