EGUIDE:
Across industries, companies are using predictive analytics to forecast future trends and actions. Learn about the most popular use cases for predictive analytics.
DATA SHEET:
Read this product datasheet to learn how this data management tool helps organizations harness the value of their IT investments and improve business operations by providing continuous access to business-critical information in real time.
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.
PRESENTATION TRANSCRIPT:
In this presentation transcript, find out best practices in log management and how it affects the use of security dashboards. Also learn how log management differs from security information and event management (SIEM).
EGUIDE:
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.
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.
EGUIDE:
With its noninutrusive method, low-impact, real-time data integration software can liberate your systems from data extract processing batch windows for Oracle data warehousing and allow you to extract data at any time, even when users are online. Read this expert e-guide to learn more about real-time data collection for Oracle data warehouses.
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.
