CRM Analytics

Read more about the article Customer Sentiment Analysis From CRM and Support Data: Building a Score You Can Actually Trust

Customer Sentiment Analysis From CRM and Support Data: Building a Score You Can Actually Trust

Most customer sentiment analysis pipelines run perfectly and still produce a number nobody should act on. Here are the failure families that cause it, from labels stamped on the wrong message to averages taken over a scale that was never numeric, plus a pipeline shape and a legal boundary worth knowing before you ship.

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Read more about the article Data Lake vs Data Warehouse for CRM Analytics: Volume Is the Wrong Question

Data Lake vs Data Warehouse for CRM Analytics: Volume Is the Wrong Question

Everyone argues this one on data volume, and volume is the argument that matters least: CRM data is small enough that both architectures handle it comfortably. What actually decides data lake vs data warehouse for CRM analytics is how much point-in-time history you need, how fast the schema churns, what shape your queries are, and who is going to maintain the thing. Includes a decision procedure you can run in an afternoon.

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