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:
The key enterprise risk management (ERM) issue for many financial institutions is to get enriched data in a single place in order to report on it. Learn best practices for data management that are critical for ERM.
WHITE PAPER:
In today's highly-competitive business climate, immediate access to, and effective analysis of business data can mean the difference between success and failure for an organization. This white paper introduces in-memory computing technology that enables these capabilities.
EBOOK:
IT monitoring tools deliver plenty of data, but sometimes, the volume can be a problem. It's a challenge to know how closely to monitor infrastructure and applications, especially when some tools monitor apps in real time.
PRESENTATION TRANSCRIPT:
Read this presentation transcript to discover SAP's groundbreaking in-memory computing technology, SAP HANA, and learn how to leverage its analytical power to improve your BI strategy.
WHITE PAPER:
Getting executive buy-in and implementing BPM can seem like a daunting task. Read this white paper to learn how to simplify the process with a simple, scalable, centralized BPM platform that provides total visibility and management of your business processes, real-time analytics, a process coaching for easy user adoption.
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:
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.
