INFOGRAPHIC:
Business truly moves more rapidly nowadays. Right-time is, more than ever, real-time. To keep pace, more organizations are investing in real-time data analytics so data is available to be analyzed, interpreted and visualized as it is created or changes in their source systems. Here are six benefits of real-time data for analytics applications.
sponsored by TDWI content provided by Advizor Solutions
WHITE PAPER:
With dashboards and scorecards, organizations benefit from the convergence of performance management and business intelligence. Learn how dashboards and scorecards help executives to better communicate, monitor and adjust business strategy and plans.
WHITE PAPER:
Organizations can upgrade or migrate to Oracle Database 11g with zero downtime. Using Oracle GoldenGate’s real-time data integration and replication capabilities, businesses can perform rolling upgrades, manage partial or phased migrations and upgrades, conduct data verification, and implement a reliable failback strategy.
EBOOK:
This expert handbook offers practical advice that will help your organization evaluate, plan, and manage a real-time business intelligence (BI) and analytics deployment.
ANALYST REPORT:
Mobile business intelligence is a process, not a project, and a journey rather than a destination. The case studies included represent two forms that mobile BI can take to empower the mobile worker and port existing applications. This paper discusses two different companies, their environments, reasons for going mobile and key success factors.
BOOK:
The Performance Manager, Proven Strategies for Turning Information into Higher Business Performance, strengthens the partnership between decision-makers and the people who provide the information that drives better decisions.
WHITE PAPER:
Access this white paper today to learn all you need to know about real-time personalization, how to overcome its challenges, and how you can increase the value of every one of your customer interactions.
WHITE PAPER:
This paper examines the increased business challenges in structured finance, the impact on the underlying enabling technologies, and describes how the use of Vertica’s column store, massively parallel processing (MPP) approach to database management and analytic processing can address some of these challenges.
