Implementation Methods of Data-Driven Decision-Making Process

Collecting information and making an adequate decision based on overall data requires recognizing the stakeholders and holding all the necessary knowledge. Rogers (2021) states that for educational institutions, the stakeholders are usually principals, administrators, and teachers. They serve as primary sources and collectors of all the necessary information about the state of the institution, the effectiveness of educational programs, student performance, funding, and so on. Modern technology makes it possible to collect, securely store and reach this kind of information at any time and place.

Sometimes the range of stakeholders expands depending on the size of the institution and the policy of work. These can be city officials, sponsors, parents of students, even the students themselves. Various methods of collecting and storing information for the subsequent decision-making process certainly include hardware and software. In 1989, the National Education Association strongly encouraged every teacher to have a computer on their desk (National Education Association, 1989). It can be easily explained by the comfort of use, significant time saving, and portability of this method. Anyone can connect to a collective database and find an answer to a question of interest at any time. Any data-based management system uses a specific query language. It enables supervisors and administrators to group reports, tables, and other information systems based on the data they need (Rogers, 2021). It can include test scores, light and water bills, student characteristics, and more. When talking about the decision-making process, it is also necessary to recognize direct communication and cooperation between people and lively discussion.

Data-driven decision-making requires productive stakeholder engagement and careful collection of relevant information. Traditional storage and sharing of data demand appropriate skills in modern technologies, the use of system software and hardware, and the Internet. However, live communication and interaction between people remain one of the main methods for resolving almost any difficulty. In other words, it should be a productive correlation between computer, verbal and problem-solving skills.

References

Rogers, J. (2021). Chapter 5: Wisdom and data-driven decision making. The Digital Marketing Landscape. Business Expert Press.

National Education Association. (1989).

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StudyCorgi. "Implementation Methods of Data-Driven Decision-Making Process." February 19, 2023. https://studycorgi.com/implementation-methods-of-data-driven-decision-making-process/.

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StudyCorgi. 2023. "Implementation Methods of Data-Driven Decision-Making Process." February 19, 2023. https://studycorgi.com/implementation-methods-of-data-driven-decision-making-process/.

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