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Low data latency: OLTP systems offer low data latency and provide real-time data updates, ensuring immediate availability of updated data to users.This is important for applications that require real-time data access and responsiveness. They have a denormalized data structure.
It prepares data for analysis, making it easier to obtain insights into patterns and insights that aren’t observable in isolated data points. Once aggregated, data is generally stored in a datawarehouse. This aggregation type is preferable to conduct trend or pattern analysis over time.
Machine Learning Machine learning is an advanced analytics technique that uses algorithms to analyze data, learn from it, and then determine or predict something in the world. Unlike static, rule-based analytics, machine learning can update predictions as new data becomes available.
This process involves verifying, investigating, and auditing the financial and operational aspects of the deal (source). As data professionals, we play a crucial role in this phase by managing and structuring key quantitative data. One of the most important aspects of due diligence is financialanalysis.
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