Teadmistepõhisus ja andmetele tuginev otsustamine on vähemalt retoorikas hästi levinud. Tegelikkuse kohta (ja mis on tegelikkus? :)) ei oska mina midagi arvata.
Siin üks konveretsi-paper, mis veidi selgust loob.


Organizations need to integrate analytics technologies (e.g., predictive or prescriptive analytics) to leverage the potential of data to uncover previously undiscovered business insights and opportunities (Berndtsson et al. 2018). Usually, papers employ the term “data-driven” to illustrate the role of data as a central resource (e.g., see Hartmann et al. (2016)). Throughout our research, we found several publications investigating the term data-driven. The oldest paper we found was from 1983, exploring data-driven automation in manufacturing industries and recommended handling data smarter to achieve substantial cost savings (Jurgen 1983).

Uurimisküsimus on (näiliselt) lihtne:

What is a data-driven organization?

Analüüsi aluseks on Leavitti mudel organisatsiooni funktsioonidest (vt Leavitt, H. J. (1965). Applied organizational change in industry: structural and humanistic approaches,[in:] Handbook of organizations, ed. JG March, HA Simon.):

Leavitt (1965) offers a four-variable model to analyze organizational functions and the relationships among the variables “structure”, “technology”, “people” and “tasks” (Saeed and Wang 2013). Within the model, the structure variable describes the system and location of authority, the organization’s communication systems, and the composition of tasks. The variable tasks refer to all tasks and functions that provide products and services to generate value. The organization’s technology view includes the hardware and applications used for various tasks. The fourth variable, people/actors, refers to human resources within an organization who carry out tasks

Kuna tekst on vabalevis, siis siin vaid üks järeldustest:

While our framework is high-level, it enables looking at data-driven organizations with reduced complexity. That, naturally, both is a limitation through the abstraction of detail and a contribution through its general and harmonizing scope.

Hupperz, M., Gür, I., Möller, F., & Otto, B. (2021) What is a Data-Driven Organization? Twenty-Seventh Americas Conference on Information Systems, Montreal, 2021