ABSTRACT
This chapter explores the application of agile methodologies and principles to data analytics project delivery. It also explores the changing data landscape and prevailing methodologies. The chapter analyzes the alignment between agile values and principles to the goals of data analytics projects. It proposes agile project management methodology considerations and recommendations on managing data analytics projects. Big data is pervasive in many industries including sports, health, retail, telecommunications, finance, manufacturing, technology, and security. Data variety becomes a concern for project delivery as the types of data sources to be used for analysis increases. Veracity deals with data accuracy. Projects that derive value and knowledge from data have always been challenged with credibility and reliability issues. Methodologies have value in that they help deliver projects effectively and efficiently, which, in turn, enables business value from the project investment. Business understanding focuses on determining the business requirements and objectives to create a problem definition.
