CASE STUDY:
Headquartered in Stockholm, Sweden, Scandinavian Airlines (SAS) is the largest airline in Scandinavia. SAS need to provide better business intelligence reporting and improved adhoc analysis capabilities by providing real time data access while reducing costs.
WHITE PAPER:
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.
WEBCAST:
Predictive analysis can allow your company to make better business decisions, faster. Attend this Webcast to learn how you can gain a competitive edge with real-time Oracle Siebel CRM On Demand Analytics.
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.
EBOOK:
SAP in-memory computing is putting the "r" back in "real-time" computing by bringing together online transaction processing (OLTP) applications and online analytical processing (OLAP) applications at a lower total cost. Get an in-depth look at how this technology will impact business.
WHITE PAPER:
Learn more about the challenges of maintaining the visibility needed for today’s networking environments and how to address them appropriately.
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:
Use insight produced through analytics to improve performance and gain a strategic advantage. Learn how you can employ an enterprise-wide approach for maintaining data and using analytics for improved decision making.
EZINE:
In this e-zine, discover how big data impacts the nitty-gritty of power and cooling, networking, storage and data center expansion, examples of companies that are updating their data centers to deal with big data, why characteristics of big data other than its size should be closely considered when planning changes to your data center, and more!
