The Quiet Prerequisite for Strong OpenText VIM Performance

OpenText Vendor Invoice Management performs best when the data it relies on is clean, consistent, and well-governed. Yet many organizations focus first on configuration, workflows, or automation features while data quality issues continue to generate exceptions, slow matching, and limit reporting value.

At McCloy Data we view data foundations as essential stewardship work. Strong VIM outcomes typically rest on:

• Accurate and complete vendor and material master data

• Consistent document capture and classification practices

• Thoughtful archiving that keeps the live system lean and performant

• Clear ownership of data quality across AP, procurement, and IT

When these foundations are weak, even a well-configured VIM environment will continue to surface the same friction. Conversely, investments in data hygiene and archiving often unlock immediate improvements in straight-through processing and visibility and all while also preparing the landscape for intelligent capture and pragmatic AI.

We help clients assess and strengthen these foundations in parallel with process refinement, ensuring that automation efforts rest on solid ground rather than amplifying existing inconsistencies.

If data quality or historical volume is limiting the value of your current VIM investment, we would be glad to explore practical, low-disruption steps together.