City Staff Ideas Challenge
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Enhance Analytic Capabilities of NYC DOE
With the advances in technology, the amount of data the DOE collects has grown exponentially. However, analytic teams are still structured in siloed clusters. The DOE has an opportunity to build robust self-service analytics that provides accurate real-time data, distributed broadly and quickly, and presented in detail to school leaders.
Break down siloes, share technical resources, encourages cross-pollination of data assets, and foster a data culture.
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There are several ways to enhance the analytic capabilities of the New York City Department of Education (NYC DOE):
Data Integration: Integrating data from various sources, such as student records, teacher evaluation data, and test scores, into a centralized data warehouse can provide the NYC DOE with a comprehensive view of student performance and help with decision making.
Predictive Analytics: Using predictive analytics models can help the NYC DOE identify patterns and trends in student performance data, which can help inform resource allocation and program design.
Dashboards and Visualization: Implementing dashboards and visualization tools can make it easier for the NYC DOE to analyze data and communicate insights to stakeholders.
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