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:
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.
WHITE PAPER:
This paper discusses the Sybase CEP Implementation Methodology, which offers analytic developers a set of best practices for implementing Continuous Intelligence using Complex Event Processing. Sybase CEP provides a structured yet flexible approach to rapidly build Continuous Intelligence projects and deliver more analytic modules over time.
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:
This informative white paper covers which facets of data and analytics are advantageous for the decision process and other organisational transactions. Discover how advanced analytics mitigate performance problems that prevent access to data.
EGUIDE:
This expert e-guide describes the value that security information and management systems (SIMs) can bring to both application monitoring and real-time security. See how you can get the most out of SIM by reading on now.
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:
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:
This paper examines the increased business challenges in structured finance, the impact on the underlying enabling technologies, and describes how the use of Vertica’s column store, massively parallel processing (MPP) approach to database management and analytic processing can address some of these challenges.
