Published by Jessica Weisman-Pitts
Posted on August 2, 2022
3 min readLast updated: February 5, 2026
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By Dr.Farshad Badie is Lecturer, PostDoctoral Centre Coordinator and Scientific Journal Associate Editorat Berlin School of Business & Innovation (BSBI).
In the digital era, taking into account their specific goal (G), business people need to exercise to learn how to – conceptually, logically, and pragmatically – identify, organise, serialise and prioritise various technical concepts in order to set their future directions, as well as to ensure the most valuable functionality of their future G-based proposals, products and services.
More specifically, business people need to learn how to;
In my view, a business person’s (say John’s) knowledge of the world (based on his goal of “being efficient”) is an insightful and meaningful structure of his information-based (i.e. informative) data collections. In other words, John’s knowledge emerges out of his data collections that are experienced and/or perceived by him in order to make him an “efficient” person.
In more specific technical words, John needs to observe the world carefully and precisely in order to describe “being efficient” and what “being efficient” means for him. Accordingly, he needs to collect data based on his conception of “efficiency”. His collected data must be, quantificationally as well as from a quality point of view, identified by John. Correspondingly, John can describe his identified data to characterize and personalize his views of the world. Accordingly, he can typify his personalised data and, respectively, organise his various typified data. Now he can logically model his organised typified data to construct some informative data. He needs to describe his informative data based on his organised typified data. John can conceptualise his own description of his informative data based on his organised typified data. Consequently, he can specify the conceptualisation of his descriptions. Now he can analyse “being efficient” based upon his specification of the conceptualisation of the description of informative data based on the organised typified data.
In my opinion, in this framework, John will become concerned with his creative activities based on his conception of “being efficient” and rely on his analysed data. Correspondingly, he will be able to learn how to deal with the development of his innovative activities, how to plan and conduct his relevant communications, how to plan and manage his relevant collaborations, how to deal with innovative strategical modelling of his industry partners’ technical projects, and how to analytically justify and make decisions in order to find his best possible solutions for his industry partners’ technical projects.
Data-driven analysis refers to the process of making decisions based on data rather than intuition or observation. It involves collecting, analyzing, and interpreting data to guide business strategies and improve outcomes.
Business goals are specific objectives that a company aims to achieve within a certain timeframe. They guide decision-making and strategy, helping organizations measure progress and success.
Data classification is the process of organizing data into categories for its most effective and efficient use. This helps in managing data security, compliance, and retrieval.
Conceptualization in business involves forming ideas or concepts based on data and insights. It helps in understanding complex information and developing strategies to achieve business goals.
Efficiency in business refers to the ability to achieve maximum productivity with minimum wasted effort or expense. It is crucial for optimizing resources and improving profitability.
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