Managers of high-tech companies are often 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 a company. Also, the process for validating channel data is often decentralized and manual, and therefore prone to error. Without a systematic process to assess the company's risk exposure posed by channel data, accounting and finance departments may be operating in the dark.

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

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