EGUIDE:
Organisations increasingly value data that is as current as possible. And there are other sectors where real-time data analytics and data visualisation are proving valuable. In this e-guide, we discuss how continuous real-time analytics, operating at sub-second speed, are finding real-world applicability across several industry sectors.
PRESENTATION TRANSCRIPT:
In this presentation transcript, discover how the Dallas Cowboys adopted BI strategies that optimized their tracking of manufacturing, distribution and sales. Hear from Bill Priakos, Cowboys' COO, as he explains the steps that the team took in order to get a real-time look into the distribution chain as well as seeing trends over time.
EGUIDE:
In this e-guide, discover necessary components of operational BI for smart business implementation. Continue reading to gain insight into the evolution of BI, along with current roadblocks to success.
EGUIDE:
In this expert guide, discover what differentiates IoT data created on the front and back ends, and how you can use both to understand the metrics that are crucial for your business.
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:
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:
This paper discusses the Sybase CEP Implementation Methodology, which offers analytic developers a set of best practices for implementing Continuous Intelligence using Complex Event Processing. Sybase CEP provides a structured yet flexible approach to rapidly build Continuous Intelligence projects and deliver more analytic modules over time.
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.
