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

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

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

Effective POA requires navigating the broad view of product alignment while advancing organizational strategy with a detailed view of the product backlog to deliver the product customers love. A

To make a lasting impact, the product must offer great value, newness, and be true to the brand of the organization. Usually, many products are providing similar value propositions and targeting

Moving From Task Driven to Value Driven Task driven business analysis measures success on the completion of tasks while value driven business analysis measures value delivered rather than the