PACE Framework

PACE framework illustrates the foundation and structure for data analysis projects. PACE is an acronym; each one of the letters represents an actionable stage in a project: plan, analyze, construct, and execute. PACE workflow discovers how each stage of the process can help guide data analysis.

Plan

The planning stage is where you conceptualize the scope of the project and develop the steps that will guide you through the process of completing a project.

Few examples of the types of planning stage tasks:

• Research business data
• Define the project scope
• Develop a workflow
• Assess project and/or stakeholder needs

Analyze

The analyzing stage is where you will collect, prepare, and analyze all of the data for your project.

Few examples of the types of analyzing stage tasks:

• Format database
• Scrub data
• Convert data into usable formats

Construct

In the construction stage you will build models that will allow you access to hidden relationships locked within data.

Here are a few examples of the types of construction stage tasks:

• Select modeling approach
• Build models
• Build machine learning algorithms

Execute

In the execution stage you will present the finding of your analysis, receive feedback, and make revisions as necessary.

Here are a few examples of execution stage tasks:

• Share results
• Present findings to other stakeholders
• Address feedback

Data professionals need structured workflows to help them manage the large number of tasks within data projects. The PACE professional workflow was designed specifically for this program to assist you in developing your professional structures and practices. PACE functions like a completed circuit, with communication flowing between each stage. The design of PACE promotes flexibility, allowing for free movement between stages as needed.