Financial institutions depend on financial spreading — the process of standardising financial statements received in diverse formats from a diverse set of enterprises — to make critical investment, credit, or underwriting decisions. Yet the activities involved are manual effort-intensive and prone to errors, and the massive volume of data needing to be analysed leads to the wastage of critical analyst resources. This paper discusses the challenges involved in the preparation of financial spreads and presents how an automated solution leveraging cutting-edge technology can help address them.
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