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



Competency Area

Evidence-based Practice


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