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: TESTCo was accustomed to managing its issue tracking for software testing using Microsoft Excel or one of its customers’ homegrown solutions. But as operations expanded, the company realized it needed a better system to manage this process—one that could monitor issues and ensure they were resolved and documented. Using ProjectLockers Issue Manager, TESTCo has benefited by saving on maintenance hours and costs.

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: With business intelligence (BI), decision-makers can feel the organization’s pulse, evaluate the performance of key business functions, and take action based on their analysis. However, many organizations invest time, money, and resources in BI processes, only to waste their newfound capabilities. Why? And, more importantly, how do you ensure that your BI solution won’t be one of them?

Abstract: Today’s knowledge workers spend more time sorting though a huge amount of information and less time adding value to it. Enterprises have responded by moving to a self-service business intelligence (BI) model. But that often conflicts with efforts to control, secure, centralize, and optimize their BI environments. Learn how you can get the right data now, while maintaining information quality and operational security.

Abstract: If you’re not on top of the range of business intelligence (BI) functionality that has evolved over the past 15 years, this framework can help. There’s a fundamental shortcoming in most BI tools today, as a single architecture cannot support the full range of BI functionality—leading to excessive costs, delays, and user dissatisfaction. Learn about a solution that covers the five different styles of BI functionality.

Abstract: SAP has gained connectivity to virtually any source on the plant floor and analytical functionality through its acquisition of Lighthammer's products for plant intelligence. SAP users in the process of evaluating plant intelligence solutions should seriously consider Lighthammer.

Abstract: Sterling Software, Inc. (NYSE: SSW) announced general availability today of its new EUREKA:Intelligence product, a 100% Java, Web-Based Integrated, Query, Analysis and Reporting tool that allows users to easily query, manipulate and format data for personal or shared use. EUREKA:Intelligence is suited for large, distributed organizations that require general purpose analyses reporting requirements for a large portion of business users.

Abstract: There is a presumption that enterprise performance management and business intelligence initiatives must be supported by data warehouses. Conceptually, the data warehouse provides a central point where a copy of data from multiple locations is stored and optimized for reporting. In practice, however, it is possible to access powerful business intelligence, analytics, and reporting, without relying on a data warehouse.

Abstract: When it comes to marketing, sales and customer service there’s no question that the second approach delivers higher value—especially in an age when companies are combating unprecedented competition while being forced to do more with less. The reality is this: choose the second example or risk being second best. This white paper explores why actionable business intelligence is so critical in today’s business environment and how Maximizer Software’s customer relationship management (CRM) solution can be used to deliver actionable intelligence when and where it’s needed most.