5 Critical Data Quality Pitfalls & How to Overcome Them, Powered by Traction Complete
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On average, poor data quality costs companies $12.9 million each year. In addition, it impacts your entire go-to-market team, causing breakdowns in territory execution and halting sales efficiency and performance.
With a constant influx of data, it only gets worse.
Tune in and get practical advice on going from downstream to upstream with a step-by-step checklist to overcome those painful pitfalls we all can relate to.
In this webinar, we will cover:
1. A step-by-step toolkit and data quality best practices from 1Password, a company that prioritizes data security.
2. How to spot and quash common data quality issues in Salesforce CRM, such as duplicate records, incomplete or outdated information, and data inconsistencies.
3. Strategies to enable your sales team to make data-driven decisions and sell to enterprise thanks to the more complete and accurate view of accounts.