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.
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:
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.
EGUIDE:
In this e-guide, one IT strategy manager explores factors that help determine if a cloud ERP system may be a better fit for your organization. Learn how to consider issues like size, resources and mobility in your cloud ERP journey. Read on and you'll also uncover the pros and cons of a hybrid ERP model.
EGUIDE:
This E-Guide from our own editorial team discusses the best practices on different methods of implementing real-time BI capabilities to increase descision making.
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.
WHITE PAPER:
This white paper explores how IBM® Rational® software integrated offerings can help gain the traceability you need to ensure overall product quality.
WHITE PAPER:
Read this paper to discover powerful, self-service business intelligence (BI) that helps you locate, evaluate, and use your crucial business information while minimizing the operational cost.
EGUIDE:
In this expert guide, discover what differentiates IoT data created on the front and back ends, and how you can use both to understand the metrics that are crucial for your business.
