Analyzing the Analytics Function

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The hard work of good data analysis is often surrounded by an array of glamourless, mundane, and underestimated processing steps.

These requisite steps can include retrieving, validating, cleansing, blending, enriching data from disparate and distant data sources, and then visualizing, delivering and archiving the analysis results.

A good data integration strategy is key to building a strong analytics function in your organization.

Check out our webinar where we describe how to effectively nestle your analytics in a data integration workflow that protects it from changes in data size, structure, quality, format and location. See how truly understanding your source data and its integration journey will transform your results.

Kevin Scott


Kevin Scott is CloverDX's Senior Consultant, where he works with customers on complex data consultancy projects with, helping them to succeed on their journey and overcome data challenges.

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