Abstract: As companies demand more from their decision support systems, unified business performance management (BPM) will play an increasingly important role in planning and decision-making. Thus, predictive analytics, applied with BPM, bridges the gap between real-time activity monitoring and calculated execution. Before embracing predictive analytics, however, companies should know that only a unified solution can help capitalize on this promising technology.

Abstract: Companies already use business intelligence (BI) to help them make decisions. But now they’re discovering that they can make better decisions by coupling BI with a predictive analytics solution. Predictive analytics can help companies solve problems, achieve business goals, uncover patterns not easily identifiable through reports or dashboards, and share all that information with decision-makers. Find out how.

Abstract: Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more.

Abstract: What are predictive analytics, and how are they used within business intelligence applications and for business performance management?

Abstract: Get predictive intelligence: identify future problems and prevent them from happening, and discover how you can head off it problems and free your...

Abstract: If you're in the supply chain business, right up there with Newton's law of gravity stands Murphy's other law stipulating that demand and supply, if left to their own tendencies, will always tend to diverge and get you in trouble. Welcome to the world of predictive demand and supply planning whose mission is to predict imbalances as far in advance as possible, in order to provide ample time and opportunity to design and implement corrective sales and operations solutions. So how do we design a system for identifying potential issues and expressing them via a commonly understood key process indicator (KPI) where the cause and effect of our actions can be readily measured? Read this article by the former director of Dell's operations and demand management.

Abstract: For those who haven’t yet taken the plunge, the time has come: Predictive analysis will become a competitive necessity by the end of this decade. This is primarily thanks to its capacity for turning customer intelligence into actionable information for improving the accuracy and efficiency with which organizations target specific customers and prospects—effectively lowering the cost of marketing campaigns.

Abstract: Despite significant investments in technology and an abundance of data, many companies repeatedly struggle to improve results on their marketing efforts. Why? In many cases, they are addressing the symptoms rather than the causes of their customers issues. Predictive analytics can be used to uncover these root cause issues, so they can treat the disease, not just the symptoms.

Abstract: In any competitive market, leveraging data to understand a customer s next move is essential. Thus, to achieve an advantage in customer marketing, companies have invested millions in customer intelligence systems. Despite this investment, many companies still struggle to increase marketing return on investment (ROI). This is due largely to the absence of an effective predictive analytics approach to customer data.

Abstract: The lifeblood by which executives in professional services organizations (PSO) manage their businesses has traditionally centered on the concept of realization, measured through metrics. Predictive Service Execution enables firms to deliver consistent and timely services while maximizing cash flow, engagement profitability, and customer satisfaction.

Abstract: Companies that have moved from a highly reactive environment to a more planned one notice significant improvement. A computer maintenance management or enterprise asset management system is useful tool to create a planned environment, help build accurate equipment history, and develop comprehensive analysis capability.

Abstract: SLP InfoWare adds a module that identifies credit risks.

Abstract: C-commerce alliances are primary drivers of the demand for the predictive capabilities of Enterprise Impact Simulation. Information about IT systems is becoming more valuable than the systems themselves because it is our entry fee to the alliance model, and admission to the alliance is a prerequisite for survival of the business. IT organizations should move quickly to satisfy the new value proposition their companies require of them.

Abstract: Networked printers and multifunction peripherals often require a high level of support and manual intervention. Secure remote monitoring platforms reduce device downtime by automating service alerts and meter reading, and providing proactive toner replenishment. Users benefit from improved device uptime, and manufacturers and their service partners can build proactive service relationships that can drive customer loyalty.

Abstract: Lean manufacturing strategies and ever-lower tolerance for late deliveries are putting pressure on manufacturers to ensure that facilities and equipment operate at peak performance. While some companies are struggling to execute preventive and predictive maintenance procedures, better performers have implemented holistic asset management strategies enabling them to proactively ensure the health of plants, factories, and equipment across global manufacturing networks.

Abstract: When enterprise architects first conceived and created enterprise resource planning (ERP) solutions in the mid-1980s, their predictive genius was praised during successive dot-com eras as Nostradamus-like in reading the future market’s thirst for transactional-driven solutions. Today, those transactional systems look like aging athletes on steroids—over-bulked, over-paid, and with very real worry that they’ll be found out.

Abstract: Predictive control, reactive control, and passive insulation enables enterprises to predict and adapt to fluctuations in customer demand. Ultimately, adaptive supply chain networks that exploit innovations to consistently improve efficiency and responsiveness are key to surviving a hyper-competitive environment.

Abstract: SAP BusinessObjects XI 3.1 solutions are the next major release of business intelligence (BI) software from SAP. They include features ranging from reporting, query and analysis, and dashboards and visualization, to discovery and predictive analytics capabilities, as well as data quality and extract, transform, and load (ETL) functionality. Get a high-level overview of the new features in SAP BusinessObjects XI 3.1.