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” based on the available data. Diagnostics Analytics is used to discover or to determine “why something happened?” ” PredictiveAnalytics tells about “What is likely to happen?” ” based on the available data. It provides real-time dashboards.
It is described using methods like drill-down, data discovery, datamining, 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.
Online analytical processing is another part of dataanalytics terms that enables the real-time execution of large numbers of database transactions by large numbers of people, typically over the internet. For example, accurate data processing for ATMs or online banking. PredictiveAnalytics. DataMining.
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. When an enterprise chooses to implement self-serve Advanced Analytics, it encourages user empowerment and user adoption.
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. When an enterprise chooses to implement self-serve Advanced Analytics, it encourages user empowerment and user adoption.
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. When an enterprise chooses to implement self-serve Advanced Analytics, it encourages user empowerment and user adoption.
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