Business Intelligence Best Practices: Simplify the Reporting Landscape

  • Source: Oracle
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Best practices for reporting have often been overlooked. Most of the time we focus on eye candy—such as dashboards—and overlook report generation and report production, which are crucial concepts at the heart of business intelligence (BI). Learn more about the current reporting situation, and learn about ways to use reporting tools to improve the reporting processes in your company and make them more efficient.

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Best Practices for a BI and Analytics Strategy

  • Source: IDC
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A growing number of organizations are moving toward having more pervasive business intelligence (BI) by turning to evidence-based decision making supported by a range of BI and analytics technology and processes that enable decision makers to have the best possible intelligence about customers, finances, operations, suppliers, and the market. This white paper addresses several questions that BI customers are facing. Read More

Guide to IT Best Practices in Application-Aware Network Performance Management

Businesses are constantly striving to do more with fewer resources, and information technology (IT) departments are subject to the same pressures. They must contend with a growing number of applications and an increasingly complex infrastructure. The IT department’s arsenal includes tools for monitoring network, application, server, database, and end user performance, but typically they are not integrated with each other. That means that it’s end users who are detecting poor application performance, and the role of the IT team is reactive.

A modern performance management solution must be easy to use, include comprehensive alerting, and offer reporting that correlates data from each component of an application and the underlying infrastructure. Application-aware network performance management (AANPM) tools aim to provide a holistic view of the performance of interdependent applications, servers, and networks. Such cross-platform visibility enables the IT department to ensure high-performance delivery of critical business applications.

This white paper describes the trends in application performance and network diagnostic tools and the drivers of AANPM. You’ll learn about best practices for implementing AANPM and discover some enterprise use cases. Read More

Wholesale Banking: Challenges in Automating Commercial Credit Risk Management

  • Source: IBM
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The challenges associated with commercial credit are complicated, but through automation, commercial credit risk management can be made straightforward and more efficient. IBM’s Business Analytics for commercial banking can help improve commercial lending operations, and, along with strong risk management practices and modernized operations, can create best practices for implementation and enhance overall operational effectiveness.

It’s essential that an automated system is transparent, helps with compliance, can serve multiple relationship types, and is able to use several criteria for risk assessment. A good system should take into consideration the complexities between customer, loan, and approval processes, and limit the need for multiple individual systems by way of a single user interface or tightly integrated systems.

In this white paper, read a detailed overview from IBM Business Analytics about the advantages and potential challenges of automation in five areas of interest, including complexity of the customer and credit granted, as well as continuous risk monitoring and how to improve overall relationship management. Get details on the management and analysis of commercial portfolios and related documents, business intelligence reporting, and defaults/recoveries management. Also provided is an extensive point-form information checklist, allowing you to self-check your own organization to determine what areas may need attention. Security issues for data protection are also addressed.

Creating infrastructure for your organization for best success begins with choosing the best technologies, and IBM Business Analytics can help, improving profitability and providing solutions that allow your business goals to be realized.  Read More

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Business Intelligence: A Guide for Midsize Companies - Improving Your Company’s Efficiency and Effectiveness, No Matter Its Size

  • Source: SAP
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Your company’s focus has been on streamlining operations, acquiring customers, increasing revenues and profitability, and outpacing the competition, instead of analyzing what’s going on and planning for the future. Further, you need to know where to concentrate your efforts. This white paper offers guidance on how to improve the efficiency and effectiveness of your company with business intelligence. Read More

Case Study: United States Army

The United States military is continually looking for ways to cut costs by reducing staff, closing down facilities, and terminating programs that are found not to be cost effective. Learn how the United States Army’s Armament Research Development and Engineering Center (ARDEC) improved employee productivity by upgrading its business intelligence (BI) solution and creating a competency center for BI-related best practices. Read More

Why Midsize Companies Need Business Intelligence Solutions in This Uncertain Economy

  • Source: SAP
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In today’s economy, executives face declining revenues and tough cost-cutting decisions. However, cost reductions alone are not enough to survive, especially for midsize companies, which often lack the resources needed to sustain a market downturn. Yet midsize companies can be much more agile—if they have the right information. Discover how you can improve performance with a business intelligence (BI) solution. Read More
 
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