Have you paid attention to the quality of customer data in your enterprise? The price you pay for poor data quality is high, and it might be affecting your bottom line.
Poor-quality customer data can be a serious roadblock hampering operational efficiency, business performance, and customer engagement. Increased operational overheads due to inefficient processes, revenue loss on account of customer attrition, and lost cross-selling opportunities are some of the adverse outcomes of poor-quality customer data.
Data quality at the source level and the reliability of those data sources are the root causes of low-quality customer data. The solution lies in adopting a modern approach to identity which goes beyond traditional data sources and leverages phone-centric data, attributes, and characteristics. A white paper titled Inaccurate Data Is Damaging Your Business and Your Bottom Line recently published by Prove cites the reasons for customer data quality issues and the approach to mitigate them. |
