1. How do big data sources help inform the organization's strategy by giving new insights into their customers, competition, business environment and product. 2. How can the organization identify their business objectives and match them with analytic projects, data, technology and staffing by forming a program team with expertise in strategy, business, analytics, and technology? 3. What factors help the organization decide between competing big data technology and make choices related to hardware, use of cloud, data transfer, analytic tools, and data delivery (BI)? 4. Has the organization decided to hire/acquire a consulting firm for their big data analytics or built their own data team? What has been the reasons for this decision? 5. Has the organization taken measures to protect personally identifiable information (PII) within their systems, including protection against linkage attacks? Has the organization made sure they are compliant with regional laws in this area and are not putting their reputation at risk from privacy infringement, even if legal? 6. Has the organization tracked their KPIs such as micro- and macro-conversion rates, churn rate, lead indicators, including those from customer activity? How have these KPIs been affected by the presence of the big data technology