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Unified Business Performance Management and the Application of Predictive Analytics

Source: OutlookSoft
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.


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Teamworks
Source: IBM Lombardi offers two products that address BPM challenges: Lombardi Blueprint and Lombardi Teamworks. Lombardi Teamworks is a full-featured business process management system (BPMS) platform that allows users to design, implement, execute, manage, and improve processes. Teamworks add-ons are available for Microsoft Office and Microsoft SharePoint. The Teamworks shared model architecture allows users to aggregate all aspects of process design, implementation, and historical performance measures in a single process model. The entire process definition is implemented graphically in the unified development environment. Lombardi Blueprint is an on-demand, collaborative process documenting tool that enables companies to map processes, identify problems, and prioritize improvement opportunities. Processes documented in Blueprint can be exported to Teamworks for implementation. Together, Teamworks and Blueprint provide a unified BPM environment that enables: process discovery, mapping, and alignment to strategic business goals; collaboration in the definition, execution, and control of processes by business and IT stakeholders; fine-grained visibility to understand process and team performance; and flexibility to make changes.       Read More...
Expanding BI's Potential with Predictive Analytics
Source: Technology Evaluation Centers Published On: July 12 2013 Business intelligence (BI) is an essential decision-making tool. But it can do even more for you when you power it with predictive analytics. Jorge Garcia, senior BI and Data Management analyst at Technology Evaluation Centers, will show you how predictive analytics goes beyond traditional analysis of past and present data to help you “see ahead.” You’ll learn how to extend your BI capabilities with predictive analytics; predictive analytics techniques for more accurate planning and forecasting; strategies for successfully integrating predictive analytics into your BI workflows; and how real-world companies are using predictive analytics. Read More...
Extending BI’s Reach: Anticipate Outcomes, Forecast Results, and Respond Proactively
Source: Technology Evaluation Centers Published On: March 4 2013 Business intelligence (BI) and predictive analytics use different means but can be applied together to improve the decision process at all levels of an organization. By increasing the ability to monitor and analyze data and generate predictions, BI and predictive analytics can help an organization gain proactive control of its business. TEC analyst JorgeGarcía explains how. Read More...


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The Power of Predictive Analytics
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Asset Performance Management: The Secret to Uncovering Hidden Profits and Ending Operating Surprises
Source: Infor Top performers optimize their assets. It’s true in any field—sports, the arts, and business. Yet in business, optimizing performance of capital assets often plays distant runner-up to the more glamorous pursuit of top-line growth. That’s not surprising, given the importance of increasing sales revenue. But it can cost you—and lead to operating surprises that are even more punishing. Read More...
Real-Time Data Management Delivers Faster Insights, Extreme Transaction Processing, and Competitive Advantage
Source: SAP Most businesses today realize they need to deliver performance and responsiveness as quickly as possible—at the speed of real-time business. New paradigms, such as the intersection of big data and predictive analytics, offer rewards to organizations that are agile enough to take advantage of the insights discovered. But achieving the agility demanded by real-time business and next-generation applications requires a new set of interconnected data management capabilities. This paper examines the opportunities and the vision required to deliver this next-generation, real-time business. Read More...

 
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