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

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

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

Determining the communication needs of stakeholders enables customization of communications to individual stakeholders or stakeholder groups so the message is clearly understood.

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

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

Business decisions can easily be based on personal and individual experience, expertise, and instinct. Business data analytics reduces cognitive and personal biases by using data as the primary

Business Simulation is a set of techniques used to model an outcome or a real-world scenario where the degree of uncertainty is high. Simulation produces reasonably good decision aids for

Data flow diagrams show where data comes from, which activities process the data, and if the output results are stored or utilized by another activity or external entity.