“data-driven decision making” is a phrase that has been around for quite some time now. It is a framework that is involved in decision-making (Direct Decision Making) which relies on data. Data is used as the primary tool by which managers can make informed decisions. Data is collected from various sources and analyzed to provide information to the managers. The information which is derived from data can be used to make correct and informed decisions.
Why “data-driven decision-making”? It is because real-time data is available for use in decision-making. The managers can make informed decisions by combining data from various channels. For example, data collection and analysis may be done through school surveys, group discussions, focus groups, etc. All these methods provide valuable data for the decision-makers, which is essential for data-based decision-making.
Data-Based Decision Making
The need for data-based decision-making came about because of problems arising out of the implementation of change. It is not possible to implement new teaching methods, curriculum, or teacher assessments in an area if there is no data on the effectiveness of the new method. A good example is in the arena of student learning. A large number of reforms have been introduced in the last few years, and districts have become overwhelmed with the task of educating the students. One major reform which has come into effect is the school progress monitoring system. The school districts have started building digital dashboards that can present information to the school management regarding the student’s academic progress and other information.
With the help of the data, the managers can make informed decisions. The data helps them evaluate the schools and find out the factors that contribute to student learning. Data-based decision-making enhances the personal interaction between teachers and parents, and peers. The data also helps the schools to build robust informational systems like the eLearning platform, which is helpful in student learning and also provides useful information to the management. Data-informed decisions are more reliable and are more effective. So data-based decision-making has become very important in the education sector.
There are several advantages of using data-based decision-making. First, it helps in aligning the interests of various stakeholders. When you make a decision, you consider what is good for the school district, parents, students, teachers, and the entire community, and so on. If you use data-based decision making, you get to know what each of these stakeholder’s wants is and how you can meet them in order to make your decisions in the best interest of the school.
Second, by using data-based decision-making, you get to link your actions with your benchmarks. For example, if the school district is determined to increase the number of students who take the Advanced Placement Exams (APEX) and National Admission Test (NAAT) and make all students take the College Board Exams (CET) within one year, then they must increase the number of students taking the APEX or National Admission Test within one year as well. They could not do otherwise since that would not be in their best interest to increase the number of students taking those exams. By using data-based decision-making, they can link the changes they want to have in any given area with the changes in the performance of students in that area so that they can assess whether they are doing everything in their power to improve student performance.
Third, data-based decision-making helps improve student outcomes. It helps in identifying what works and what doesn’t work and what kind of interventions would help improve student outcomes. Data-driven decision-making helps to identify the key issues facing educational organizations today and what interventions can be done to address them. This means that educational organizations need to have a better and more in-depth understanding of how student learning actually happens in the classroom. By having a good and clear understanding of how student learning happens, they can design interventions and policies that would help them make sure that student learning occurs in the way they want it to.
Fourth, data-based decision-making helps to achieve better and more consistent student learning. It also helps make sure that the resources used in the classroom are aligned with the student’s needs. Most instructional practices currently being used do not make use of data-based decisions about what should be taught and what should not be taught. By having a data-driven approach to learning, teachers and educational professionals can determine what should be taught in order to make sure that students achieve their maximum potential.