Data Analytics and Financial Forecasting: A Field Study from Finnish Enterprises




Hyvönen Timo, Lepistö Lauri, Mäki Sanni

PublisherAssociation of Business Schools

2022

Nordic Journal of Business

NJB

3

71

2

126

134

2342-9011

http://njb.fi/wp-content/uploads/2022/11/3_NJB_2_22_Hyvonen_et_al.pdf

https://research.utu.fi/converis/portal/detail/Publication/177355973



This explorative study investigates the current state and usage of recent technological advancements in financial forecasting. Data analytics has received increasing interest amongst practitioners and researchers in recent years and it has been argued that data analytics will enhance the development and evolution of budgeting processes. The empirical materials of this study come from interviews conducted in six Finnish enterprises. Results indicate that whilst practitioners consider the importance of improving forecasting processes, they have reservations regarding the potency of data analytics. Overall, our findings suggest that the shift towards the application of data analytics in financial forecasting is not yet taking place.


Last updated on 2024-26-11 at 12:50