A dashboard for business forecast uncertainty modeling

Detta är en Kandidat-uppsats från KTH/Matematisk statistik

Författare: Jakob Gip Orreborn; [2015]

Nyckelord: ;

Sammanfattning: As an innovation project at Ecole Central de Paris, we were to develop a SaaS platform (Software as a Service) giving the user the possibility to perform forecasts based on data coming from various posts of the income statement and/or sales data. The platform was supposed to be able to perform short-term, mid-term as well as long-term forecasts based on these data. The platform has been developed through the web application framework Django, which is based on the programming language Python. The forecasting algorithm used is based on the preceding project on the subject, however it has been modified and improved.

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