WHITE PAPER:
Reporting is recognized as a way for companies to improve service, ensure quality, control costs, and prevent losses by empowering decision-makers throughout the organization. This paper will explain why reporting is one form of business intelligence that has become business-critical.
WHITE PAPER:
Success in business intelligence is all about facilitating sound, data-driven decisions at every level of the business. Read this white paper to learn six strategies for BI success, drawn from the experiences of actual IBM Cognos customers.
WHITE PAPER:
Though there’s no simple answer to “buy or build,” there are criteria — seven, in fact, that can guide you to make a well informed decision. This paper helps you identify and evaluate each one.
WHITE PAPER:
Your business' IT tools interact with many different facets of your business. While these tools are helpful for automating processes and streamlining business, they also need management. Read on to discover a way to monitor your business performance in conjunction with IT tools.
WHITE PAPER:
Learn how IBM Cognos solutions can harness data from multiple systems, wrapping the critical information into easy-to-understand reports that help you identify and respond to trends as they are happening. Download this white paper now and see examples of seven essential supply chain reports designed to answer your most pressing questions.
WHITE PAPER:
Learn how Cognos Business Intelligence lets you access virtually any data source, regardless of platform, and provide detailed, understandable views of the data to all users, regardless of location.
WHITE PAPER:
SL Enterprise RTView is a business information delivery platform that is used by IT Managers to rapidly configure, deploy, maintain and extend real-time and other critical enterprise information systems.
WHITE PAPER:
This white paper from IBM describes how a set of five predictive imperatives can help ensure that your company maximizes the value of its customer relationships and sustains higher levels of revenues and profits.
WHITE PAPER:
In the following paper, we briefly describe, and illustrate from examples, what we believe are the “Top 10” mistakes of data mining, in terms of frequency and seriousness. Most are basic, though a few are subtle. All have, when undetected, left analysts worse off than if they’d never looked at their data.
