This document discusses the evolution of business intelligence and analytics (BI&A) from BI 1.0 to BI 3.0. It begins with introducing BI as using data and analytics to help executives make informed business decisions. Analytics is defined as exploring data to extract meaningful insights. Big data refers to extremely large and complex data sets. The document then covers three phases of BI&A evolution. BI 1.0 in the 1990s used structured data and relational databases for descriptive analytics. BI 2.0 emerged in the 2000s adding complex queries and predictive analytics using both structured and unstructured data like social media via NoSQL databases. BI 3.0 integrates traditional BI, big data, and IoT data distributed