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Business Analytics

Data Analytics

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Data Analytics is the discipline of extracting actionable insights by structuring, processing, analysing and visualising data using methods and software tools.

Benefits

  • Improved decision-making
  • Enhanced data-driven strategies
  • Better understanding of customer behaviour

Applications

  • Market research and segmentation
  • Financial analysis
  • Customer retention

Examples

For example, a retail company may use data analytics to analyse sales data and identify trends, helping them optimise inventory and pricing strategies.

Book and Tutorials

Operational Analytics

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Operational Analytics not only uses data and analytics to improve day-to-day operations within an organisation, leading to more efficient processes, but finds the best solutions for the business.

Benefits

  • Increased operational efficiency
  • Optimal cost reduction
  • Real-time monitoring

Applications

  • Supply chain optimisation
  • Quality control
  • Inventory management

Examples

For instance, a manufacturing company may use operational analytics to find the optimal production strategy, monitors production lines and detect anomalies, reducing changeovers and improving product's profit & quality.

Book and Tutorials

Business Analytics

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Business Analytics combines data analysis and statistical techniques to help businesses make data-driven decisions and gain a competitive advantage.

Benefits

  • Competitive intelligence
  • Improved profitability
  • Optimised marketing campaigns

Applications

  • Predictive analytics
  • Customer segmentation
  • Performance forecasting

Examples

For example, an e-commerce company may use business analytics to analyse customer data and create personalised product recommendations, increasing sales and customer satisfaction.

SMART Analytics