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 BeyeNETWORK transcript of a webcast, industry expert and author Cindi Howson details the current state of business intelligence (BI) adoption, the business impact and offers BI best practices from both organizational and technical perspectives.
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.
EGUIDE:
Explore security information management (SIM) systems' capabilities for real-time security, learn why the definition of "real-time" may need altering, and uncover the factors preventing SIMs from attaining real-time status.
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.
EGUIDE:
Many organizations are realizing the interesting and paradoxical pattern that exists with BI applications: the more you use them, the more new and different requirements keep pouring in. Read this E-Guide and learn to gain a stronger understanding of your customers and business as well as to excel in today’s competitive market with real-time BI.
WEBCAST:
Access this demo to see how you can draw quick insights from social media data using software-defined storage. Learn to analyze this data in near-real time and dynamically manage the data to keep storage costs low.
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.
