Data Analytics Lifecycle

ANLY482 Analytics Practicum

Content

ANLY482 Analytics Practicum

Data Analytics Lifecycle

• Overview
• Discovery
• Data Preparation
• Model Planning
• Model Building
• Communication
• Operationalise

Who am I?

ANLY482 Analytics Practicum

Data Analytics Lifecycle

Actors in an analytics project

ANLY482 Analytics Practicum

Data Analytics Lifecycle

An Overview of Data Analytics Lifecycle

ANLY482 Analytics Practicum

Data Analytics Lifecycle

Discovery

ANLY482 Analytics Practicum

Data Analytics Lifecycle

Discovery

ANLY482 Analytics Practicum

Data Analytics Lifecycle

• Learning the business domain
• Availability of resources
• Framing the problem
• Identifying key stakeholders
• Interviewing the analytics sponsor
• Formulating initial investigation questions
• Identifying potential data sources

Data Preparation

ANLY482 Analytics Practicum

Data Analytics Lifecycle

Data Preparation

ANLY482 Analytics Practicum

Data Analytics Lifecycle

• Creating the analytics sandbox
• Performing ETL, ELT, etc
• Exploring the data
• Data conditioning
• Initial reporting

Data Preparation

ANLY482 Analytics Practicum

Data Analytics Lifecycle

• Creating the analytics sandbox

Model Planning

ANLY482 Analytics Practicum

Data Analytics Lifecycle

Model Planning

ANLY482 Analytics Practicum

Data Analytics Lifecycle

• Data exploration and variable selection
• Model selection
• Data sampling
• Model assessment plan

Model Building

ANLY482 Analytics Practicum

Data Analytics Lifecycle

Model Building

ANLY482 Analytics Practicum

Data Analytics Lifecycle

• Testing the statistical assumptions of the model
• Ensuring that the model output/behaviour make sense to the domain experts
• Validating the parameter values of the fitted model make sense in the context of the domain
• Testing the model using test dataset
  • avoiding intolerable mistake
• Checking if the model is sufficiently accurate to meet the business practice
• Iterating with different models, variables or/and more dataset

Communicate Results

ANLY482 Analytics Practicum

Data Analytics Lifecycle

Communicate Results

ANLY482 Analytics Practicum

Data Analytics Lifecycle

• Presenting the business understanding instead of the model
• Communicating the actionable recommendations instead of the statistics
• Using visual presentation instead of numerical tables