TDWI White Paper Library
TDWI maintains this library of white papers as a resource for in-depth research and commentary about the big data, business intelligence, data warehousing, and analytics industry. The content in this repository is crafted by TDWI's software and consulting partners. To find out how your company can promote its content in this library, click here.
Data lakes add value. Their use improves organizations’ operations and business performance. Our research underscores this; four out of five participating organizations consider the analytics enabled by data lakes to be important. But these benefits aren’t automatic.
This book will look closely at the emerging trends in big data and the pressing need for analytics solutions that emphasize more user-friendly approaches, such as more sophisticated visualization techniques.
The data management landscape is highly complex, with Big Data and NoSQL technologies creating a variety of languages and skills that most organizations do not have internally. Metadata management has strategic, efficiency, financial, and regulatory implications that must be addressed to break data value bottlenecks.
In the past few years, artificial intelligence and machine learning technologies have both become more prevalent and feasible than ever before. Discover how developers are approaching these new tools and ideas and why they are interested.
All kinds of valuable patterns and insights are contained in textual content, such as emails, memos, customer service chats, social media streams, and news articles. The problem is extracting the value.
In this paper, we outline some basic concepts of cognitive computing and explain how we are using it in OpenText Magellan, an artificial intelligence-powered analytics and business intelligence platform.
Today, data is the lifeblood of every enterprise. In order to succeed in this customer-centric era, data insights must inform every function of the business, including customer experience, operations, marketing, sales, service, and finance. This white paper describes how organizations that understand how data is used can prioritize their analytics efforts to find the most valuable and actionable insights on a regular basis.