This e-book offers IT, business intelligence (BI) and analytics managers tips on building a business case for real-time analytics and also for avoiding potential pitfalls that can trip you up during the implementation stage.
With the volume of data today, traditional disk-based systems can not process quickly enough to make it fully useful. In this white paper, gain insight into the next generation of in-memory computing technology.
Security data collection and analysis has become a big data dilemma – so why wouldn't you adopt a big data approach? This resource outlines why legacy analytics and SIEM tools are inefficient and explores how adopting a solution that combines real-time and asymmetric big data security analytics is vital to success.
In-memory analytics technology is impressive, but is it really necessary right now for small to midsize businesses (SMBs)? Would an investment provide a true competitive advantage? And what are some ways it be leveraged? Read this e-guide to find expert insight on these questions and get the inside scoop on the rise of in-memory technology.
BI users need a positive and unified experience with their information applications to help them make critical, data-driven business decisions. In this webcast transcript, Shaku Atre, founder and managing partner of the Atre Group, discusses strategies to encourage BI user engagement with customizable dashboards and analytics.
Read this paper to discover powerful, self-service business intelligence (BI) that helps you locate, evaluate, and use your crucial business information while minimizing the operational cost.
View this resource to learn more about the limitations of insufficient data. It discusses the importance of the right information at the right time and how to avoid missed opportunities with information-driven products and services.
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.
This expert guide gives you an understanding of the differences between real-time and near-real-time analytics and explores cloud platform choices are when it comes to real-time analytics. In addition, explore why telcos need real-time analytics to fuel their success and how to accomplish this.