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RESEARCH & RESOURCES


Upcoming Webinars

TDWI On-Demand Webinars on Data Management, Analytics, & AI

TDWI Webinars deliver unbiased information on pertinent issues in the big data, business intelligence, data warehousing, and analytics industry. Each live Webinar is roughly one hour in length and includes an interactive question-and-answer session following the presentation.


On Demand

The Changing Fabric of BI Environments: Supporting Line-of-Business Personnel and Data Scientists

Today’s BI environments have split personalities. They must support the production of routine reports and analyses used every day for decision-making by line-of-business employees, and yet, also enable data scientists and data crunchers to “freewheel” through the data in an unplanned, experimental fashion. What magic is this? How can implementers create a sustainable BI environment with these two seemingly contradictory purposes? Does one replace the other? What are the technological requirements for this new world?

Claudia Imhoff, Ph.D.


Beautiful Data in the Eye of the Beholder: Data Visualization Best Practices

High-quality data visualization is critical to the success of business intelligence, analytics, and data presentation. Because graphical interaction with data is now the norm, users are excited—and also have increasingly high expectations. Technology is important, but you also need to execute best practices to avoid pitfalls and to create beautiful data visualizations that are clear, effective, and accurate.

David Stodder


Strategies for Data Exploration and Analysis in the Age of Big Data Analytics

According to multiple TDWI surveys, the vast majority of IT users feel that big data is an opportunity, because of the new and more granular insights it provides about customers, operations, partners, and many other business entities and processes. Likewise, most users now see advanced forms of analytics as the primary path to reaping insights from big data, whether big data comes from traditional enterprise applications or new sources, such as Web applications, application logs, sensors, machines, and social media. For these reasons, TDWI sees many user organizations diving deeper into big data analytics.

Philip Russom, Ph.D.


Six Best Practices for Gaining Value from Enterprise Reports Using Next-Generation Analytics

Valuable organizational data about a company’s business and its customers is often found in reports. This might include financial statements, billing invoices, healthcare patient records, or statements of benefits. Such data is often stored in a company’s enterprise content management (ECM) systems.

Fern Halper, Ph.D.


In-Memory Computing: Expanding the Platform Horizon Beyond the Database

In-memory database management systems have matured to the point where they predictably promise accelerated application performance. By adopting alternative storage layouts amenable to in-memory processing, these databases take advantage of efficient use of available memory to reduce or even eliminate the data latencies typically associated with significantly slower disk-based storage media.

David Loshin


Modernizing the Traditional BI Environment

Key BI industry growth areas are focused on big data, advanced analytics, cloud computing, and supporting mobile workers. When they are marketing and writing about using these technologies, vendors, the press, and analyst organizations usually focus on building new and leading-edge systems and applications.

Colin White


BI in the Cloud

The cloud services model offers much in the way of potential benefits to businesses in terms of efficiency and cost savings. It’s no wonder that many enterprise applications have moved to public, private, or hybrid clouds. Although business intelligence applications have been slower to move to the cloud—usually because of data security concerns—this is starting to change.

Fern Halper, Ph.D.


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