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This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictiveanalytics for business users, and in augmented data preparation and augmented datadiscovery tools.
It is described using methods like drill-down, datadiscovery, data mining, and correlations. To identify the underlying causes of occurrences, diagnostic analytics examines data more closely. In one of our earlier posts on Predictiveanalytics , we have discussed it in detail.
This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictiveanalytics for business users, and in augmented data preparation and augmented datadiscovery tools.
This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictiveanalytics for business users, and in augmented data preparation and augmented datadiscovery tools.
Business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response, and ongoing changes in buying behaviour.
Business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response, and ongoing changes in buying behaviour.
Business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response, and ongoing changes in buying behaviour. Focus on projects that require 100% accuracy. Ability to achieve mature modeling goals.
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