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A really excellent post about Microsoft Dynamics CRM Data Mining by Mark Margolis. It’s an eye opening for me, as I usually have the understanding about the Reporting and Analysis, but with Data Mining, it enables us to predict the customer behaviour.
As you have probably already gathered I’m a big fan of Analytics and Visualisations so when my colleague Manuel Altermatt told me he was doing some work on CRM and Data Mining and wanted to do a guest post I jumped at the chance! You can contact manuel on analyticalcrm@outlook.com.
Whilst Dynamics CRM is widely recognized for its strong operational capabilities, the outstanding analytical capabilities which arise in conjunction with SQL Server are sometimes overlooked. We can think about business intelligence in two categories:
Reporting and analytics, which are methodologies and tools that focus on “what happened”, thus working on data exploration, historical information, reports, dashboards, KPI’s, etc.
Data Mining, which are methodologies and tools that focus on “why did it happen”, thus working on data understanding, patterns, correlation, past and future data, and data prediction.
This blog post shows how Dynamics CRM can be combined with SQL Server…
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