PRIORITIZING AND ANALYZING DATA

Qualitative data describes subjective qualities or things project managers cannot measure with numerical data.

When you track the number of tasks in progress and completed, you are gathering quantitative data. Quantitative data includes statistical and numerical facts.

Free security tools, like encrypted storage solutions and password managers, can decrease your project’s vulnerability to a data breach. In many applications, privacy settings can be adjusted to only give access to specific individuals. Increasing the data privacy awareness of those working on your project and anonymizing data can also help you ensure the privacy of the data you collect. Explanation: Make sure every member of your project team—plus vendors, contractors, and other stakeholders from outside of your company—are made aware of your organization's data security and privacy protocols. You can also help ensure the privacy of the data you collect by using security tools and anonymizing data. Explanation: Data anonymization refers to techniques that help protect individuals’ personal information by keeping them anonymous. Types of data that should be anonymized include names, telephone numbers, social security numbers, email addresses, photographs, and account numbers. Increasing the data privacy awareness of those working on your project and using security tools can also help you ensure the privacy of the data you collect.

During the prepare step, you collect and store the data you will use for the upcoming analysis process.

Data by itself won’t help make data-informed decisions. A project manager must analyze the data to draw conclusions and make predictions.

A project manager can use data to improve the speed or quality of a process. Explanation: When a project manager is facing a problem, they can rely on data to make an informed decision. Explanation: A project manager can use data to better understand how a product or service performs for customers. Explanation: Whether it’s creating a product or executing a service, data can help a project manager make better decisions.

Productivity metrics help project managers track the effectiveness and efficiency of a project. A projection metric helps to predict an outcome based on the information the project team has now.

A signal is an observable change. Signals can help you to determine the overall health of your project and identify early signs that something is off.