On Demand
As user organizations dive deeper into big data analytics, many are depending more heavily than ever on SQL-based, ad hoc queries as their primary method for data exploration and discovery analytics (sometimes called investigative analytics). At the same time, the same organizations are adopting or considering Hadoop as their primary storage platform for big data. SQL-based analytics and Hadoop are good choices in isolation, but bringing them together has a catch: Hadoop’s support for queries is minimal at the moment.
Philip Russom, Ph.D.
Sponsored by
Infobright
Organizations today need to get ahead of events so they can adjust decisions about resources, personnel, up-sell and cross-sell offers, fraud and abuse detection, and more in dynamic fashion. Analytics can play a key role in bringing predictive insights to executives and managers. With these insights coupled with continuous, real-time data views from business and operational intelligence systems, organizations can be “proactive”—that is, they can do more than just react after the fact to events and market changes, and instead shape their own destiny.
David Stodder
Sponsored by
Tableau Software
Although Hadoop and related technologies have been with us for several years now, most business intelligence (BI) professionals and their business counterparts still harbor a few misconceptions that need to be corrected about Hadoop and related technologies such as MapReduce.
Philip Russom, Ph.D.
Sponsored by
Teradata
Business-IT partnership is one of the most critical aspects of successful business intelligence solutions aligned with the goals of the business. Yet most companies continue to report painful disconnects between the business and IT.
Cindi Howson
Sponsored by
Hewlett Packard
Data visualization and visual data discovery can enable diverse types of users—from data scientists working with big data to nontechnical business managers and frontline users—to see significant trends and patterns in data that they would have struggled to see in voluminous tabular reports and spreadsheets. As big data volumes grow and organizations seek to integrate diverse and complex information, users’ ability to comprehend information quickly and put it to productive use hinges on data visualization.
David Stodder
Sponsored by
Adaptive Planning, Advizor Solutions, Esri, Pentaho, SAS, Tableau Software
Big data and analytics have received significant attention in the media recently, and TDWI has seen growing adoption of these technologies by organizations looking to become more competitive. Organizations are using big data with analytics to extend current initiatives in new and innovative ways.
Fern Halper, Ph.D., Colin White
Sponsored by
TDWI and IBM Content
Certainly, every business leader wants to have trusted, secure, consistent, and usable information, but data volumes and systems complexity have been increasing for years. Plus, most organizations rarely prioritize data governance, so why care now?
Claudia Imhoff, Ph.D.
Sponsored by
SAP