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Helping publishers and EdTech organizations in transforming learners’ experience through analytics-driven solutions. Digital learning offers opportunities for capturing data directly related to a student’s interaction with the learning systems. Magic EdTech develops systems to analyze this data by capturing it and generating meaningful inferences focused on learning outcomes.

Content Usage Analytics

Learning Analytics

Student Progress Flow

Assessment Analytics

Magic EdTech uses the following processes to determine whether your data can answer the questions that you want answered.

Data Engineering

Capturing Data

  • Data capturing & storage
  • Metrics
  • Research


  • Pattern identification
  • Understand usage trends
  • Data optimization

Deriving Insights

  • Real-time insights
  • Data-driven decision making
  • Performance analytics
  • Content usage analytics


Data Visualization

  • Tableau
  • Qlik
  • HTML5
  • Data-driven documents

Data Processing Tools

  • Hadoop
  • Spark
  • HDInsight
  • Amazon EMR
  • Cascading

Data Storage Infrastructure

  • Cloudera
  • mongoDB
  • Couchbase
  • SQL Azure

Data Analytics as a Service

  • High data proliferation due to Mobilee, IoT, and internet growth
  • Unstructured data to result-oriented interpretation
  • Faster and accurate decision making
  • Developing new and curated content

Case Studies