Abstract
Data are an invaluable asset for the private sector as well as for government and non-government organizations, the academy and, in general, for all communities. During the last few years, different frameworks have appeared proposing practices to obtain the greatest value from data organizationally. The use of data has been mainly understood in data governance as the central axis of the design and implementation of strategies that expect data to be really captured, transformed, and used in an accurate way within the organization. A data strategy is the instrument that allows aligning the data with strategic objectives, so data governance as the central axis without an efficient data strategy will not generate the expected results. Therefore, this article presents a model for the design of data strategy. The main contributions of the proposed model are the focus on strategic objectives, the use of best practices from previous research combined with the incorporation of data knowledge and its behavior in early stages, and the design of a work plan that encourages the appropriation and incorporation of the data strategy in an organization. In addition to presenting the model, we discuss the results of its implementation, we analyze and outline the issues identified for its adaptation in the context of a smart city, and we also explain the first version of such adaptation.
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del Toro Osorio, F., Ospina Becerra, V.E., Estévez, E. (2023). Designing a Data Strategy for Organizations. In: Naiouf, M., Rucci, E., Chichizola, F., De Giusti, L. (eds) Cloud Computing, Big Data & Emerging Topics. JCC-BD&ET 2023. Communications in Computer and Information Science, vol 1828. Springer, Cham. https://doi.org/10.1007/978-3-031-40942-4_11
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