Explain how data can support decision making , show the possibilities and limits?
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Data plays a crucial role in supporting decision-making processes across various domains. By utilizing statistical methods and data mining techniques, organizations can extract valuable insights from large datasets to make informed decisions. Big Data technology enables the processing of vast amounts of data, aiding in timely and accurate decision-making. Data-based decision-making in special education focuses on using formative classroom data to enhance instruction and improve outcomes for students with special needs. However, while data can enhance decision-making, there are limitations. Challenges include the need for proper data collection, interpretation, and implementation, as well as the requirement for ongoing support for effective decision-making. Despite the potential benefits, the effectiveness of data-based decision-making can vary based on factors like the frequency of data collection and the presence of decision-making rules.
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| Papers (5) | Insight |
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01 May 2019 1 Citations | Data supports decision-making through data mining methods like clustering and expert knowledge integration. Limits include data quality and interpretation challenges, while possibilities include knowledge base formation and inference engine utilization. |
| Data supports decision-making by guiding instruction through monitoring, interpreting, and implementing changes. Decision-making rules, graphic data display, and teacher support enhance outcomes, but research on effectiveness moderators is needed. | |
| Big Data supports decision-making by processing vast amounts of data quickly. However, current storage and processing capabilities have limitations, hindering efficient evaluation of all available information. | |
| Data supports decision-making by extracting patterns from systems like business intelligence using Data Mining. Possibilities include creating moldable patterns, while limits may arise in complex data interpretations. | |
| Data supports decision-making by providing statistical methods for public and private sectors. It offers possibilities for informed choices but has limits in interpretation and application accuracy. |
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