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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. July 25, 2018 Read Now
A number of newly mature trends are making cloud-based data integration platforms, technologies, and user best practices more relevant than ever. June 29, 2018 Read Now
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. June 29, 2018 Read Now
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. June 12, 2018 Read Now
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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. Read Now
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. Read Now
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
Organizations dependent on big data for a wide range of business decisions need data quality management that can improve the data so it is fit for each desired purpose. This TDWI Checklist Report offers six strategies for improving big data quality. May 18, 2018 Read Now
The foundation of a successful IoT implementation is a technical architecture that blends network connectivity with an information architecture for streaming, ingesting, filtering, and capturing data. This checklist explores some fundamental aspects of the data architecture necessary for IoT success. March 30, 2018 Read Now
Users ignore the modernization of deep warehouse infrastructure at their peril. Without it, they may achieve complete, clean, and beautifully modeled data, but without the ability to scale to big data, iterate data models on the fly, enable flexible self-service access, operate continuously and in real-time (as warehouses must in global businesses), and handle new data types and workflows for advanced analytics. March 30, 2018 Read Now
As organizations collect and analyze increasing amounts of data, they are turning to the data lake as the platform to perform more advanced analytics such as machine learning. This TDWI Checklist Report presents best practices for advanced analytics on a data lake. March 30, 2018 Read Now
Organizations can gain competitive advantages if they can eliminate the latency that prevents them from getting a real-time view of operations. In many cases, operational reporting and analytics are still tied to traditional business intelligence, ETL, and data warehousing that can only deliver historical views of the data. Executives and managers have to wait – and the wait is getting longer and data volumes rise and analytics grow more complex. August 28, 2018 View Now
Many organizations initiate data governance programs because of pressing compliance issues that impact data usage. At the other end of the spectrum, some organizations begin by governing data that’s shared broadly through a community of consumers across the enterprise, each with their own perspective on what constitutes quality and usability. August 30, 2018 View Now
Organizations have struggled to easily provide access to sharable data assets ever since the early days of decision support systems. Traditional methods of data sharing are slow and cumbersome. Simple data sharing methods—such as emailing extracted files, opening up unsecured access to critical databases, or file exchanges via FTP or EDI—not only pose risks of inadvertent data exposure, they also fundamentally require manual steps for both the individual sending the data and the individual receiving the data. September 12, 2018 View Now
Expanding analytics requirements have increased the appetite for massive data volumes. However, these data flows can create bottlenecks, preventing timely and modern analytics innovations such as machine learning. September 13, 2018 View Now
Read this fun eGuide to discover how the simple and automated Attunity data integration platform benefits users with its drag-and-drop GUI design that enables very high-volume universal data replication and ingestion as well as real-time, continuous data integration and loading. July 31, 2018 Read Now
Modern BI solutions can increase the value of big data exponentially by lowering the barrier to entry with user-friendly solutions. July 31, 2018 Read Now
Download the 2018 Gartner Magic Quadrant for Data Integration Tools Report to find out! August 8, 2018 Read Now
For most finance executives, machine learning and other AI tools are not topics for which school or work experience has offered any preparation. August 2, 2018 Read Now
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