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Thirteen Customer Experience Database Design Principles

[fa icon="calendar'] Jan 19, 2017 2:55:48 PM / by Matti Airas posted in Feedback Analysis, Customer Experience Management, Sentiment Analysis, Data Visualization, NPS, CES, data warehouse, customer experience, feedback categorization

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Extracting actionable insight is difficult. It takes a lot of work and requires serious thinking and planning. One of the most important things you need to do is to design and implement a CX database.


You, the CX professional, need to own this data. Don’t let BI or IT people set restrictions. Making compromises will greatly hinder your ability to do your work well. Good data is paramount!
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Are we getting the most out of the information stored in our data warehouses?

[fa icon="calendar'] Nov 11, 2015 1:45:17 PM / by Matti Airas posted in data warehouse, predictive analytics

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Since the late 80s and through the early 2000s, companies have been diligently collecting vast amounts of data and storing it in networks of large, complex databases called data warehouses. Much thought has gone into coming up with the best practices for gathering the data and getting it into the databases, but today it can be a daunting task to consider how to get useful information out of these elaborate data warehouses. We have been surprised to learn of the many challenges some of our customers are facing as they attempt to extract information from their data warehouses in a useful structure.

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