Business data analytics is a specific set of techniques, competencies, and practices applied to perform continuous exploration, investigation, and visualization of business data.

The business data analytics cycle represents the research aspects of business analytics. It is an iterative cycle initiated through the development of a well-formed research question and then

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