University of Jyväskylä

Dissertation: Dissertation 11.5.2018: The costs of data storage can be reduced if the companies re-estimate their storage needs and acquire additional resources more often (Laatikainen)

Start date: May 11, 2018 12:00 PM

End date: May 11, 2018 03:00 PM

Location: Mattilanniemi, Agora, Lea Pulkkinen Hall

Gabriella Laatikainen
M.Sc. Gabriella Laatikainen defends her doctoral dissertation in Information Systems Science "Financial aspects of business models: Reducing costs and increasing revenues in a cloud context". Opponent Professor Casper Lassenius (Aalto University) and Custos Professor Pasi Tyrväinen (University of Jyväskylä). The doctoral dissertation is held in English.

We live in the era of digitalization. The underlying digital technologies, such as cloud computing, generate new possibilities for innovation in a wide range of industries, but on the other hand, it also triggers challenges. Recently, companies collect a huge amount of data that can be used, for example, for understanding and targeting customers, making pricing decisions, predicting the demand, improving the business processes, and so on. Thus, the amount of data to be stored is increasing continuously and companies have to find the most suitable storage solution for their needs.

Companies have several options to cope with their increasing demand of storage. First, they can choose to build and manage their own storage facilities, and invest in a so-called private cloud. Or, alternatively, storage resources can be rented from public cloud infrastructure providers, such as Amazon or Microsoft. Lastly, companies may decide on using a so-called hybrid cloud, and store some of their data in a private cloud, and the rest in a public cloud.

The decision on the most suitable storage solution is very complex. Companies might have different factors determining their choice, such as, requirements for data security, data availability, reliability, legal or regulatory requirements or personal preference. However, the cost of the storage solution is one of the most important.

This dissertation investigates the cost-efficiency of different storage alternatives and supports the companies to find the cheapest solution for their needs. Furthermore, the research proposes different ways to decrease the total cost of storage.

One of the main finding of this research is, that in case the companies are able to re-estimate their storage needs and acquire additional resources more often, the private or hybrid storage solution gets cheaper. Thus, companies are advised to change their internal practices and try to predict their storage needs more accurately.

Another topic of the dissertation is related to the pricing of Software-as-a-Service. Customers do not buy software in a box with a pricetag from the shop shelves any more, but instead, they rent the use of the software for a fixed period of time, and pay, for example, a monthly fee. However, pricing these digital services brings challenges to the providers, because they cannot price these services in a similar way than traditional software or other tangible goods, and the digital market conditions are changing rapidly. In this research a pricing tool was developed to support companies in finding the most suitable pricing model for their digital services.

The findings of the study also reveal that there should be open communication about the pricing aspects inside the company during the whole software development lifecycle, because pricing might have special requirements for the software architecture, and the architecture might also enable or limit some of the pricing elements.

More information:

Gabriella Laatikainen,, phone nr. 0451 444 700.

Jyväskylä Studies in Computing nr. 278, 92 pages, Jyväskylä 2018, ISSN 1456-5390, 278; ISBN 978-951-39-7407-7 (nid.), ISBN 978-951-39-7408-4 (PDF).

Gabriella Laatikainen is a Hungarian from Romania living in Finland. She has a Master degree in Mathematics and Computer Science from University of Debrecen, Hungary as well as a Bachelor degree in Information Technology from the Jyväskylä University of Applied Sciences. She worked as a software developer before starting her PhD studies at the University of Jyväskylä.

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Gabriella Laatikainen
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