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Applying predictive analytics to real-time data feeds should be done to not only make better business decisions faster, but also to optimise potential opportunities as they materialise, react quicker to possible threats and mitigate any potential risks within the broader business. However, implementing real-time advanced analytics requires a different approach and a different toolset.
An on-going challenge of data warehousing is the long turnaround time between when a business event occurs and when the fact representing it is ready for consumption in the data warehouse. Delayed delivery makes it difficult to make timely decisions. Long data latencies also impede the organisation’s ability to quickly assess the implementation of decisions. …
