Specialty Retailer
By implementing Compas, this specialty retail company cut down the amount of administrative time they were spending using Excel spreadsheets and an Access database to operate their partially automated global process.
Your job is in the details. You work hard to collect, synthesize, mine, and report on data that is accurate, timely, and reliable. With Compas, your job just got easier.
Compas gives you all the tools you need to prepare for your audit, while reducing the amount of time needed to plan for an on-site visit. You can review areas of concern previously identified by easily locating and managing historical audits. You don't have to worry about excessive amounts of paperwork and you can concentrate on doing the audit instead of getting ready for it.
Compas increases your productivity and takes the guess work out of conducting an assessment. The automated process lets you collect data efficiently using a handheld PC, laptop, or any computer with internet connection. Coupled with standardized answers, pre-determined comments, and a help function, all of which are deployed on a per-question or per-section basis, audits can be completed quickly and seamlessly. You are able to ensure the quality and comparability of your data with best practices, hints, and tips to help clarify questions, removing ambiguity and decreasing subjectivity in your answers. And with all of those helpful features ensuring the quality and depth of the data collected, the amount of training on individual location processes and policies can be greatly reduced.
Compas ensures that your results are timely, accurate, and reliable. With an automated process, you can create action items as you go, instead of revisiting the data later. And because data doesn't have to be transcribed, the margin for error is greatly reduced and results can be uploaded on-site and viewed in real time. Compas also offers a host of help features and the ability to download support documentation, ensuring that your data can be measured accurately against data collected from the entire organization.