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