Analyze students performance across semesters and subjects
Predict students drop out interventions and identify individuals who are at risk of dropping out
Determine the most cost-effective intervention for the student
Forecast expected drop-outs and plan accordingly
Identify underperforming classes and demographics
More students stay in school
Higher intervention success rates
Cost optimization of limited resources
Tailored plans for each class, subject, grade, etc.
Custom Machine Learning classification algorithms
Power BI dashboard to analyze students performance and predict drop outs/interventions
Hands-on Machine Learning Modeling
Process data locally or in the cloud with Microsoft Azure
Refresh reports with Azure Data Factory
Host data affordably in Azure Synapse Analytics (formerly Azure SQL Data Warehouse)
Run advanced machine learning models using R and Python in Azure Machine Learning
Export results and insights to Power BI or Excel
About Neal Analytics
Neal Analytics is a cloud, data, and AI Microsoft Gold consulting partner supporting data-driven transformation initiatives from data strategy to solution design, architecture, development, operationalization, and support.
Our expertise spans across migration and modernization, data science, AI/ML, IoT, edge computing, BI, application development, and RPA.
With a focus on right-sized and pragmatic approaches towards digital transformation, Neal leverages Agile methodologies and flexible engagement models to deliver measurable customer value.