Are you the product manager of a software application? A data architect or CTO? The lead developer for an in-house data-analysis application? If so, you probably understand how embedded business intelligence (BI) software can help your users get the most from your application’s data(1). Here you can download the whitepaper with three case studies on
After years of relative stability, the world of business intelligence is now experiencing a sea of change. The old rules of thumb no longer apply, and companies cannot assume that yesterday’s BI strategies continue to be viable. This eBook covers the fundamental shifts currently taking place in Business Intelligence. Find out more about Self-Service BI,
In this Guide we have reviewed how predictive analytics helps your organization predict with confidence what will happen next so that you can make smarter decisions and improve business outcomes. It is important to adopt a predictive analytics solution that meets the specific needs of different users and skill sets from beginners, to experienced analysts,
TIBCO Spotfire is the premier data discovery and analytics platform, which provides powerful capabilities for our customers, such as dimension-free data exploration through interactive visualizations, and data mashup to quickly combine disparate data to gain insights masked by data silos or aggregations. Another key strength of TIBCO Spotfire platform is broad predictive analytic functionality.Predictive analytics
Egal, ob der sie Ihren Server aus Altersgründen wechseln müssen Open Source Anwendungen für die Cloud Ihr neuer Standard werden soll, dieses Lösungshandbuch von SUSE hilft Ihnen dabei, Ihren Server in drei Schritten von UNIX zu SUSE Linux Enterprise umzuziehen: Schritt 1: Entwickeln Sie einen Umzugs-Plan – Vergewissern Sie sich, dass Ihre Software umzugsbereit ist
In dieser von SUSE beauftragten und von Forrester durchgeführten Studie erfahren Sie, welchen Effekt ein Wechsel zu SUSE Linux haben könnte. Hierzu interviewte Forrester vier Nutzer von SUSE aus folgenden Unternehmen, die einen Umzug von UNIX zu SUSE Linux Enterprise geplant und durchgeführt haben: Eine Regierungsbehörde in Europa Eine Internationale Bank mit Sitz in Asien
Recently, Datamation and CIO Insight surveyed 223 IT decision-makers from large organizations, to hear what they had to say about managing data with a single, cloud-based platform. Here’s what they found: – 70% are managing some of their data in cloud infrastructure – 48% of those surveyed are using a private cloud – 25% of
Why Event processing – Event processing actively tracks and processes streams of events entering an enterprise so that opportunities and risks can be proactively identified and business outcomes optimized. The traditional data processing approach of store-analyze-act introduces the fundamental challenge of decision latency. Information is often the most relevant as soon as it is captured,
Event Processing with State Machines is key to success. To meet or beat service level agreements (SLAs), organizations need complete, real-time visibility into their operations. Most business operations consist of a number of automated and manual business processes that span multiple applications running on different types of systems. Couple this complexity with a high volume
• Automated real-time reaction is the key to efficient, data-driven business operations. • Inference rules enable business analysts to declare how to react to events without concern for when and how those events occur. • In-memory computing enables high performance stateful rules that can track thousands of events per second and react to situations that