PRGX helps you spot value in your source-to-pay data that even the most sophisticated solutions couldn't get to before. It's the only way to see what you've been missing. We bring together fragmented and unstructured data - wherever it lives - across all departments, systems, stakeholders and geographies to find the value buried in silos and hidden corners of your company.
We take a bottom-up, data-led approach that lets the data itself lead you to over 300 common points of leakage in some of the hardest to mine areas of your source-to-pay cycle.
We take a bottom-up, data-led approach that lets the data itself lead you to over 300 common points of leakage in some of the hardest to mine areas of your source-to-pay cycle.
Services
Building on our deep recovery audit expertise, we develop and deploy industry-leading solutions that help clients mine their data to reduce cost, optimize working capital and mitigate risk in their Source-to-Pay processes. With unmatched experience and expertise in data analysis, PRGX is uniquely qualified to help our clients improve performance across all variables in the Source-to-Pay process.
If you're interested in joining a fast-paced, collaborative, talented team with significant growth opportunities, come to PRGX. PRGX is global leader with an impressive roster of blue chip clients. We're a growing organization that's passionate about delivering measurable value and business results that contribute directly to our clients' bottom lines.
Your source-to-pay cycle is full of rich, meaningful data. The challenge is to extract that data, rationalize it, analyze it and make it actionable. Whether you want to reduce costs, increase your bottom line, improve efficiency or find ways to better manage your suppliers, the team of data experts at PRGX can help you quickly reach your goals.
Overpayments, missed discounts and under-deductions are inevitable for most transaction-intensive companies. But the complexity of the supply chain - with a global (and growing) supplier base, varying contract terms, siloed functions and fragmented systems - makes finding and preventing these errors nearly impossible with the resources at hand.
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