It’s imperative to construct your analytics system in a modular and flexible manner such that it allows for different tools to be implemented while ensuring integration of these tools as needed. For example, output of an Alteryx workflow can be easily visualized in Tableau and Tableau integrates well with R. Your architecture needs to be thought through before you can select your tools. The architecture needs to include tools to address the entire data management lifecycle from data collection, data science and analytics to data reporting/visualization. This session will cover data analytics architecture (including some examples of tools for each component of the architecture) and data governance.
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