Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/4979
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dc.contributor.authorSateesh, Vilas
dc.date.accessioned2024-10-30T09:56:17Z
dc.date.available2024-10-30T09:56:17Z
dc.date.issued2024-09
dc.identifier.urihttps://ir.iimcal.ac.in:8443/jspui/handle/123456789/4979
dc.descriptionBiosketch: Vilas Sateesh is an executive alumnus of IIMC from Batch 12 of the “Executive Program on Business Analytics” completed in January 2024. Vilas is also a qualified Chartered Accountant from the Institute of Chartered Accountants of India. He has nearly 17 years of management consulting experience. He hassuccessfully delivered many complex transformation programs both in finance as well as in revenue management domains for clients across sectors including aviation, automotive, customs, retail, real estate, and power and utilities. His core area of expertise includes finance transformation, financial performance management and revenue leakage management. He has completed a certificate course on “Forensic Accounting and Fraud Detection” conducted by the Digital Accounting and Assurance Board of the Institute of Chartered Accountants of India.en_US
dc.description.abstractIn today’s data driven business world, the term “data analytics” is no longer a buzzword. As per a study conducted by BARC in 2023, data driven culture is one amongst the top 5 emerging trends (BARC, 2023, “Data, BI and Analytics Trend Monitor-2024). Organizations of various multitude have adopted analytics as a key component of their DNA. Of late, analytics often gets coined with machine learning and artificial intelligence concepts to provide real time or near real time insights to various business functions. Out of all the business functions, finance is one of the earliest adopters of analytics in the modern era as early as 1970s, for risk analysis using quantitative models processing a wide range of historical financial and economic data (International Journal of Education and Research, 2013, Financial Theory Evolution). As the scope of analytics gets expanded day by day, so is the case with Finance, ranging from analyzing historical data to prediction of future performance and financial behaviours. Even though this article talks about financial analytics and its common applications, the focus of this article is all about application of analytics in unconventional ways to aid financial management activities.en_US
dc.language.isoen_USen_US
dc.publisherThe Financial Research and Trading Laboratory (FRTL), IIM Calcuttaen_US
dc.subjectFinanceen_US
dc.subjectFinancial analytics
dc.subjectBenford’s Law
dc.subjectRisk management
dc.titleUnconventional Financial Analyticsen_US
dc.typeArticleen_US
Appears in Collections:Issue 2, September 2024

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