Data Analytics exploitation for Growth Synergies in Multi-Business Companies
Alberto Alfonzo
Data Analytics exploitation for Growth Synergies in Multi-Business Companies.
Rel. Tania Cerquitelli. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Gestionale, 2019
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Abstract
The paper carried out under the supervision of Prof. Tania Cerquitelli and in collaboration with the Company “Mediamente Consulting s.r.l”, intends to propose data-driven strategies for the achievement of synergies between businesses owned by multi-business companies. First of all, a broad overview of multi-business companies and diversification strategies is presented, focusing on diversification methods (entry, mergers, acquisitions, … ), on diversification types (horizontal and vertical, related and unrelated, … ), and on the opportunities and risks that these strategies entail. Furthermore, the managerial and organizational implications of a multi-business context are specified. From this, the concept of cross-business synergies is introduced, and after outlining costs and advantages for the companies that try to reach them, a synergy classification is made starting from the type of resources to be leveraged across businesses (operational, financial, managerial, … ).
Among these classes, growth synergy is deepened, deriving from the sharing of operative resources of several businesses under a single corporate management in order to achieve revenues super-additivities
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