Home
 > Research and Reports > White Papers > Using Predictive Analytics to Uncover Root Causes and...

Using Predictive Analytics to Uncover Root Causes and Solve Problems vs. Treat Symptoms

Source: Customer Chemistry
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.


Featured publications:

Product Analysis Report: IBM Cognos and SPSS Solutions
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...
Reduce the Risk of Network and Application Performance Issues
Source: Fluke Networks More than ever before, the IT network is a strategic asset to a business, and any downtime or degradation in network or application performance can directly impact an organization’s bottom line. This white paper looks at a methodology for solving network and application performance issues and outlines a new approach to getting to their root causes more quickly. Read More...
Human Capital Analytics Drives Strategic Business Decisions
Source: Ventana Research Managers need high-quality information about their workforce to recruit and retain the best people and maximize employee productivity. In this white paper from Ventana Research and IBM, learn how analytics tools can help you uncover insights about work groups and individuals to help engage, support, and motivate employees and further your organization’s business goals. Read More...


You may also be interested in these related documents:

Expanding BI's Role by Including Predictive Analytics
Source: Ziff Davis Traditionally, organizations have met their prioritized objectives by using business intelligence (BI) information to make informed decisions. Increasingly, organizations are finding that the benefits of BI can be enhanced when complemented by predictive analysis. See how more insight can be gained, and even better decisions made, by coupling business-relevant information with an easy-to-use predictive analytics solution. Read More...
Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses
Source: MicroStrategy 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. 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...

 
comments powered by Disqus


Popular Searches

Recent Searches
Others A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

©2014 Technology Evaluation Centers Inc. All rights reserved.