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.
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.
WHITE PAPER:
Business processes are expected to run lean and green. The Accounts Payable process that runs with optimal efficiency and accuracy will diagnose bottlenecks in seconds, generate minimal waste and keep vendors and partners happy with fast inquiry response and timely payments. Read this paper from Dolphin Corporation to learn about automating AP.
WEBCAST:
Access this demo to see how you can draw quick insights from social media data using software-defined storage. Learn to analyze this data in near-real time and dynamically manage the data to keep storage costs low.
EGUIDE:
This E-Guide from our own editorial team discusses the best practices on different methods of implementing real-time BI capabilities to increase descision making.
WHITE PAPER:
Traditional computing systems are built to analyze only structured data, or to run analytics in batch reporting jobs. Explore how Watson is an example of the new kind of workloads that businesses will apply to achieve their business goals.
WHITE PAPER:
It may be surprising to find that Zynga is performing some of the most advanced analytics anywhere. With a user base of over 250 million monthly active users, this white paper describes why Zynga uses the Vertica Analytics Platform to improve its business and game features.
WHITE PAPER:
Ensuring that business intelligence data is accurate and consistent is crucial to the success of business intelligence (BI) projects. However, managing BI data quality is becoming more challenging as data varieties and sources increase. View this white paper to find out how you can get a handle on BI data quality.
