The data analysis plan may be formal or informal. The objective is to ensure sufficient time to plan the data analysis activities required for the initiative.

Organizations aiming to integrate analytics to drive business decisions consider unique organizational models for the analytics team and how these organizational models can be situated within the

Organization-level strategy guides comprehensive analytics engagements managing data residing within and outside the organization. Simply consolidating organizational data for a single analytics

An implementation plan outlines the implementation strategy and includes a road map of the changes and tasks that must be completed to ensure the successful implementation of a change.

Planning stakeholder communication includes identifying what needs to be communicated, to whom it needs to be communicated, how it needs to be communicated, and when it needs to be communicated.

With the growing demand for analytics professionals, organizations create a strategy to attract and retain analytics professionals and related roles. Competitive compensation is one of the main

Before data can be sourced, analysis is performed to determine what data is most relevant to the analytics problem. Analysts play a significant role in understanding and suggesting relevant data

Collecting data involves the activities performed to support data professionals with data setup, preparation, and collection. The degree of involvement analysts have with data collection depends

Although the tasks in business data analytics are iterative and not sequential, defining the business problem or opportunity is often the first step performed in any business data analytics

Before any of the detailed analytics work is performed, the stakeholders formulate the question that the analytics will answer. The research inquiries are derived from the business needs. The