Exploratory data analysis (EDA) is an approach used to maximize the insights gained from data by investigating, analyzing, and summarizing data to uncover relevant patterns. Exploratory data

Hypothesis formulation and testing is used in business decision-making where business hypotheses are formulated in a rigorous manner to avoid purely empirical decisions. It is primarily used in

Stakeholder List, Map, Personas assists the team in analyzing stakeholders and their characteristics. From a business data analytics perspective, this technique can be used to understand how

The “big idea” is a concept that helps analysts communicate an important foundational or central insight to stakeholders. By removing extraneous information, the stakeholders better understand

A 3-minute story is used to describe certain aspects of an analytics engagement. The explanation can include the intent, key findings, relevant business decision, or a recommendation

A user story is well-written when all of the following are true: the story meets the INVEST criteria

At the Delivery Horizon, feedback is rapid and ideally in small chunks. Each story delivers a small and rapidly delivered increment of value. Typically, it is not until a collection of stories,

Analyzing data involves deciding how data analysis will be performed, including which models and mathematical or statistical techniques will be used.

The Interpret and Report Results domain uses the results obtained from data analysis to gain business insights from the data collected and determine how to best communicate and report the outcome

Backlog Refinement is used to ensure there is enough detail and clarity for items in the backlog so that the delivery team can complete an iteration.