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Automated data pipelines: Many companies gather data from various departments and sources and transform the data real-time into a central store using automated data pipelines. For instance, financial majors use such systems on a daily basis in pooling data from all departments in a manner that ensures the financial reports contain only the latest information they have at any given time.
AI anomaly detection: it detects anomalies that arise from the algorithms derived with the help of the AI tool used in financial data analysis. Such errors or inconsistencies are highlighted and reviewed. Less time is spent on auditing data as compared to other solutions to improve the quality of data