Data issues cause misquotes and erode trust. Inaccurate or outdated pricing, product, or customer data often leads to quoting errors and lost deals.
High-quality data is critical. Many CPQ failures stem from old price lists or inconsistent product data across systems. For example, a machinery manufacturer found that quotes differed between teams due to siloed ERPs and manual updates. After centralizing product updates and quote accuracy the customer satisfaction is increased.
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