This chapter provides real-life examples on how big data analytics can be implemented to create value and discusses five cases, which vary in sector, big data approach, and focus. The first case involves mainly traditional analytics, and focuses on a customer lifetime value (CLV) calculation. Case 2 presents a data integration in which data from multiple sources are analyzed to improve marketing effectiveness among multiple customer groups. In Case 3 the chapter discusses a case that focuses on the systems side of big data analytics in order to achieve more success with personalization efforts. Attribution modelling for an online-retailer is discussed in Case 4. Final case focuses on social network analytics, where one of the key messages is that social hubs can be identified by looking at some available non-social network variables. The firms should have a data-driven culture that is open to analytical endeavours to create more value for the customer and the firm.