Data Mining and Modelling
Establish and deploy data modelling techniques to support narrative and predictive analytics efforts and identify trends and patterns for simulation and forecasting purposes
Type
Domain
Competency Area
Data Analytics and Information Technology Management
Levels
Address potential data quality issues
Implement guidelines to safeguard data accuracy, cleanliness and integrity
Collect and prepare data sets for analysis, simulation and forecasting
Identify data quality issues
Conduct deep-dive analyses to identify patterns and trends in data sets
Build leading practices in safeguarding data accuracy, cleanliness and integrity
Establish leading practices in safe guarding data accuracy, cleanliness and integrity
Provide guidance on resolution of data quality issues
Review appropriate analytics models based on relationships between variables
Propose appropriate business scenarios for the conduct of preliminary simulation and forecasting analytics
Drive, design and establish data mining and modelling methodologies and data quality governance frameworks
Design and establish data mining and modelling methodologies to be applied within the organisation
Establish data quality governance frameworks
Review findings on analytics correlations and causality
Establish interactive analytics models based on dynamic scenarios
Review business scenarios and outputs from simulation and forecasting analytics