White Paper: 6 Critical Steps To Conducting A Data Capture ROI Analysis That Produces Reliable Results

Many companies now require a return on investment (ROI) analysis before approving any capital expenditure. Conducting an ROI analysis and producing reliable results is a daunting task when evaluating information technology projects, such as the licensing and implementation of enterprise application software and automated data solutions. Projects such as these often affect business processes throughout the enterprise and yield savings in unexpected ways.

Producing Reliable ROI Estimates
How do you take the ROI analysis beyond estimates and guesswork to produce reliable results that your financial decision makers can trust? How do you answer the tough questions that your financial decision makers pose, such as:

• How much will this project really cost?
• What can the company expect to gain in return?
• Where will the company see process improvement?
• What quantifiable cost reductions can be expected?
• How will this project impact the company's bottom line?
• How does this compare with competing projects?

This white paper will discuss a six-step process for conducting an ROI analysis that yields reliable results that can be substantiated when presented to your financial decision makers. This process includes assembling a team of knowledgeable participants from across the enterprise, identifying specific areas for ROI gains, and determining where viable ROI can be achieved.

To illustrate the concepts discussed, this paper will focus on an ROI analysis related to the implementation of an automated data collection (ADC) solution in a supply chain distribution environment. However, the core concepts and processes can be applied to any business process in any industry, sector, or company operation.