Retrieval-Augmented Generation (RAG) connects AI to your business data, but what happens when that data is duplicated, outdated or inconsistent? For Dynamics 365 organisations, poor-quality data can increase AI costs, undermine results and erode user trust. In the second article in our AI series, The Hidden Cost of Building RAG on Poor-Quality Data, we explore why data quality is essential for cost-effective, reliable AI.

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.

Duplicate data may not be high on your agenda, especially if senior management views addressing it as a time-consuming exercise with limited return. However, from our experience of helping our customers reduce duplicates shows it can deliver real business value by saving time, lowering costs and improving confidence in your data.