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The ultimate guide to data preparation
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Poor data equates to wrong decisions, bias in the AI algorithm and flawed decision-making. What's more, data that personally identifies an individual can only be used in very specific ways, as stipulated by GDPR. Read about data preparation in this e-guide. This is the process of gathering, combining, structuring and organising data so it can be analysed as part of data visualisation, analytics and machine learning.
Table Of Contents
- Definition: Data preparation
- The evolution of the data preparation process and market
- Users find data preparation tools vital to BI strategies
- Data preparation for machine learning still requires humans
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