WHITE PAPER:
This informative white paper covers which facets of data and analytics are advantageous for the decision process and other organisational transactions. Discover how advanced analytics mitigate performance problems that prevent access to data.
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:
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:
In this white paper, discover how SAP In-Memory Appliance (SAP HANA) delivers SAP In-Memory Computing technology through an ongoing engineering collaboration between SAP and Intel to provide optimized performance and reliability on Intel architecture, including the Intel Xeon processor E7 family.
WHITE PAPER:
Consult the following white paper to uncover how to deliver more relevant offers, increase response rates, and ultimately create a happier customer base with the use of real-time marketing.
WHITE PAPER:
This paper focuses on finding the value within big data and offers advice for delivering deeper insight to decision-makers and management. Also, discover how leading companies are benefiting from the recent emergence of MapReduce and real-time analytics.
WHITE PAPER:
Learn more about the challenges of maintaining the visibility needed for today’s networking environments and how to address them appropriately.
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.
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.
