Data Analytics

Providing decision and insights from data through descriptive, predictive and prescriptive analytics. Understanding requirements, designing analytical models and tools to understand historical performance and trends and projecting future trends and scenarios to help organisations predict the most appropriate options, strategies, and plans.


  • Capture and documentation of user requirements
  • Data collection and acquisition
  • Data Extract, transform and load (ETL) into data warehouse/lake
  • Data cleansing and quality assurance
  • Data mining and exploration
  • Design and build of analytical models and algorithms
  • Design and build of predictive models and simulations
  • Scenario generation to support options appraisal process
  • Developing data reporting and visualisation


  • Integration of multiple data-sets
  • Improved data quality
  • Better understanding of performance trends and issues
  • Better decision support based on predictive insights and scenarios
  • Better visualisation of data analysis and performance