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2.3.3 Explore Data
Exploring data involves performing an initial exploratory analysis to ensure the data being collected is what was expected from the data sources. It provides a form of quality check to ensure the
2.3.6 Select Techniques for Analyze Data
The following is a selection of some commonly used analysis and analytics techniques applicable to the Analyze Data domain. The following list of techniques does not represent a comprehensive set
2.2.2 Determine the Data Sets
Determining data sets involves performing a review of the data expected from the data sources and determining specifics such as data types, data dimensions, sample size, and relationships between
2.3.4 Perform Data Analysis
Data analysis involves the extensive deep analysis performed once the data quality issues are resolved through exploratory analysis. Performing data analysis involves the application of
2.3.2 Prepare Data
Preparing data involves obtaining access to the planned data sources and establishing the relationships and linkages between sources in order to create a coherent dataset. Data scientists
2.2.5 Select Techniques for Source Data
The following is a selection of some commonly used analysis and analytics techniques applicable to the Source Data domain. The list of techniques presented does not represent a comprehensive set
2.4.1 Validate Understanding of Stakeholders
Early in a business data analytics engagement, stakeholders are identified and analyzed to understand how to effectively engage and collaborate with the variety of stakeholders involved. As the
Agile Extension
The Agile Extension to the BABOK® Guide is the leading guide for describing the benefits, activities, tasks, skills, and practices required for effective business analysis with an agile