As data and analytics disciplines, such as business intelligence, data analysis, data science, and business analytics, evolved they have all leveraged business analysis practices. However,

A data dictionary is used to standardize a definition of a data element and enable a common interpretation of data elements within a single data source or across multiple data sources.

Data storytelling is used to communicate data in a meaningful way. An engaging narrative provides business context and highlights key insights to drive better business decisions.

Problem shaping and reframing are creative applications of problem analysis techniques that result in alternative formulation of the problem faced by an organization. Problem shaping specifically

A survey or questionnaire is used to elicit information including information about customers, products, work practices, and attitudes from a group of people in a structured way and in a

Technical visualizations are used by data scientists to evolve their analysis that becomes the detailed data for driving insights. They may not be useful for communicating insights to business

Personas: used to create a shared understanding of who the customer is, frequently a core item when Thinking as a Customer.

The Use Results to Influence Business Decision-Making domain involves using the analytics results to enable decision-making that generates value for the organization. Standalone reports and

Behaviour Driven Development (BDD) is used to increase value, decrease waste, and increase communication between stakeholders and delivery teams by focusing on the intended customer behaviour for

Minimal Viable Product (MVP) is used to avoid cost and risk associated with developing the wrong product by testing a hypothesis, reducing waste, or increasing speed to customers for feedback and