AI is becoming increasingly accessible, with falling costs making it easier to introduce AI to more applications, users and business processes. But cheaper AI does not actually mean lower costs? As AI becomes more affordable, usage can grow rapidly – creating the AI Cost Paradox. The key question is not what AI costs, but how much AI is being used that delivers real business value.

If you are reading this article you likely appreciate that poor data quality in business systems can have negative consequences. To avoid the financial costs and poor customer relations that can occur your goal is clear, you need Clean Data!

In this diary, we are sharing our top actionable suggestions that can help you to improve your CRM data quality. These CRM Data Quality tips will help you with your data management strategies and improve business insights to drive effective decision making.

The issue of duplicate data may not be high on your agenda especially if it’s viewed by senior management as a timely and idle investment. However, from our experience of working with data and helping our customers to reduce duplicates, we would strongly disagree.