Data Analytics - Business Insights
Implement data analytics within the organisation to generate business insights and intelligence through the use of statistical and computational techniques and tools, algorithms, predictive data modelling and data visualisation
Type
Domain
Competency Area
Evidence-based Practice
Levels
Identify underlying trends and patterns using statistical and computational techniques
Use data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
Assist with data transformation, quality checking and cleansing into digestible data sets
Perform database queries across multiple tables or unions to extract relevant data
Perform appropriate data analyses on distinct data sets
Produce performance dashboards and insight reports
Assist in the production of a range of business insight reports
Summarise and present business insights developed from data studies
Develop, apply and evaluate algorithms, predictive data modelling and data visualisation
Apply predictive data modelling techniques to identify underlying trends and patterns in data using statistical computing tools, methods and procedures
Identify patterns across multiple data sets to derive insights
Develop prototype algorithms and proof of concept demonstrations
Make decisions about which patterns are meaningful, and which to further analyse
Assemble data aggregations to build data models to help test problem hypotheses
Use machine learning techniques to gain new insights from data
Mine data to find relevant insights to develop ongoing improvements
Assess the business insights presented to determine impact of insights on organisation
Manage the creation of interactive visualisations of data and data study outcomes
Use industry standard tools and techniques for data visualisation in line with organisational procedures
Design and conduct data studies and drive insights
Interpret implications of data patterns on business problem scenarios
Analyse business data to extract insights
Manage data science projects
Configure and customise data models to investigate organisational business hypotheses
Manage organisational capacity for performing data science projects
Run complex data mining models to provide business insights in line with organisational procedures
Communicate the results of data science projects
Make recommendations to guide organisational decision-making
Manage and enhance organisational data science capability by refining financial and other business performance criteria and design data studies
Formulate the organisation’s data science capability to inform business decision- making
Lead the implementation of the data science strategies, policies, procedures and metrics to support organisational requirements
Oversee the design, collection, retrieval and analysis of forecasting and performance data
Produce ad hoc analyses and management reports for senior management
Develop and maintain controls on data quality, inter-operability and sources to manage risk effectively
Define and manage policies and programs for data stewardship and custodianship in line with legal, information security corporate risk and compliance requirements
Conduct horizon scans to identify, evaluate and implement new technologies and techniques which may contribute to the success of the organisation’s data analysis capability