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A dashboard for business forecast uncertainty modeling
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematical Statistics.
2015 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Modellering av osäkerhet i företagsprognoser (Swedish)
Abstract [en]

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.

Place, publisher, year, edition, pages
2015.
Series
TRITA-MAT-K, 2015:29
National Category
Mathematical Analysis
Identifiers
URN: urn:nbn:se:kth:diva-172817OAI: oai:DiVA.org:kth-172817DiVA: diva2:849704
External cooperation
École Centrale Paris (ECP), Paris
Subject / course
Applied Mathematical Analysis
Educational program
Master of Science in Engineering - Industrial Engineering and Management
Supervisors
Examiners
Available from: 2015-08-30 Created: 2015-08-30 Last updated: 2015-08-30Bibliographically approved

Open Access in DiVA

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