Channel Data Quality Diagnostic

Many high-tech companies are concerned about the accuracy and auditability of their financial reports. Sales through indirect channels can be significant, but because revenue estimates are based on data self-reported by partners, data that may be incomplete or inaccurate, these estimates can pose considerable financial risk to your company. Furthermore, the process for validating channel data is often decentralized and manual, and therefore error-prone. Without a systematic process to assess the financial exposure posed by channel data, accounting and finance organizations may be operating in the dark.

Insights from Diagnostic
Zyme's Channel Data Quality Diagnostic enables companies to better assess the quality of their channel data and quantify the impact on revenue using a quick, one-time assessment. The Diagnostic includes:

• Assessment of financial exposure by partner classification
• Identification of top five red flags on inventory delta, returns and aging inventory, by partner and SKU
• Top five reported errors, such as missing fields and duplicate transactions
• Partner scorecard for data quality and compliance