INFOGRAPHIC:
Business truly moves more rapidly nowadays. Right-time is, more than ever, real-time. To keep pace, more organizations are investing in real-time data analytics so data is available to be analyzed, interpreted and visualized as it is created or changes in their source systems. Here are six benefits of real-time data for analytics applications.
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.
INFOGRAPHIC:
To build up an effective data and analytics architecture, enterprises should look at leveraging new approaches in data integration. In this infographic, we take a look at four emerging data technologies to consider for future data integration projects.
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.
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.
EBOOK:
This e-book offers IT, business intelligence (BI) and analytics managers tips on building a business case for real-time analytics and also for avoiding potential pitfalls that can trip you up during the implementation stage.
WHITE PAPER:
Organizations can upgrade or migrate to Oracle Database 11g with zero downtime. Using Oracle GoldenGate’s real-time data integration and replication capabilities, businesses can perform rolling upgrades, manage partial or phased migrations and upgrades, conduct data verification, and implement a reliable failback strategy.
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.
EGUIDE:
If your SAP HANA journey has left you in the dark, these five implementation tips from experts featured in this guide will light your way. Also discover key considerations for S/4HANA Sourcing and Procurement.
