The Institute for Operations Research and the Management Sciences released an Analytics Maturity Model (AMM) to assess and improve analytical maturity of organizations in big data era. Since the AMM is a survey based maturity appraisal of 12 questions on Organization, Analytics Capability, and Data & Infrastructures, the model needs best practices for implementation. The objective of this presentation is to provide how the Data Management Maturity (DMM) Model can support the implementation of the AMM. We present a mapping table between the DMM model and the AMM. This study also presents a case study of predictive analytics in big data and its associated DMM process areas.