Posts getaggt mit optimization
Machine Learning in Finance: An innovative approach to analysing Hidden Reserves / Losses processes and other financial parameters

The wider acceptance and active development of machine learning techniques and data analytics have made it possible to optimize and automate business processes. This presents a lucrative opportunity for banks to redesign their operations to cut processing times and improve transparency. We present the potential of these techniques by applying a machine learning approach to a hidden reserves/losses process that can often be found in the finance departments of banks.

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Business Intelligence In Financial Institutes

Managers of every level refer to the one or the other BI method to master the challenges of their daily work life and also the business departments employ BI techniques to get most out of their data. However, only few make use of the plethora of powerful self-service BI tools (SSBI tools) available on the market.

Thus, this article elaborates on the potential of BI in general and SSBI tools in particular. We summarize pros and cons and compare these to the well-known and very individual MS Excel & Access dashboard solutions.

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