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4. Strategy Horizon
4. Strategy Horizon Agile Extension to the BABOK® Guide | IIBA® 4. Strategy Horizon <style> .knowledgeHub .tile_card-title { padding-top: 3rem; padding-left: 3rem; padding-right: 3rem;
1. Introduction to Business Data Analytics
Most business decisions involve some degree of uncertainty and the decision-makers seldom know the exact outcome of their actions. Data plays a crucial and transformational role in how
1.1 What is Business Data Analytics?
Business data analytics is a specific set of techniques, competencies, and practices applied to perform continuous exploration, investigation, and visualization of business data.
1.2 The Business Data Analytics Cycle
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
1.4 Business Analysis and Business Data Analytics
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,
3.4 Data Dictionary
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.
3.7 Data Storytelling
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.
3.15 Problem Shaping and Reframing
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
3.17 Survey and Questionnaire
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
3.18 Technical Visualizations
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