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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.


Featured publications:

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...
Product Analysis Report: IBM Cognos and SPSS Solutions
Source: Technology Evaluation Centers Written By: Jorge Garcia Published On: December 17 2013 Many organizations today have come to realize that using data effectively should be a key component of their business strategy. Businesses can expand and improve the information analysis capabilities gained through BI by using predictive analytics to anticipate risks and outcomes, predict trends, and discover unseen patterns in data. IBM SPSS solutions provide a complete set of predictive analytics capabilities and a flexible set of integration points with Cognos Business Intelligence. Read the report to learn more about how IBM Cognos software capabilities can be extended with the use of IBM SPSS predictive analytics capabilities. Read More...


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The Power of Predictive Analytics
Source: Hexaware Technologies Ltd The demand for business intelligence is increasing at a rapid pace across all industries—more so during tough economic conditions as seen in 2009. Many senior executives are looking to optimize existing business processes that can lead to bottom-line and top-line benefits. This paper presents the different levels of analytical solutions that are required for organizations, with a specific focus on predictive analytics. Read More...
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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