While big data has been a topic of research and industry activity, much of it has been focused on unstructured data such as web logs, web crawl data, and social media data, One area which has received less attention but offers significant opportunities is that of “enterprise big data”. As enterprises drive towards leveraging analytics to create new value, they are faced with one of the most daunting challenges post the enterprise data warehousing era, “How can we link data from 100’s of business processes, tens of businesses, and combine relevant enterprise data with external data to enable novel analytical insights?” Consequently, Enterprise Big Data Semantics, Analytics and Modeling (EBDSAM) is an emerging area of research. It involves developing a new paradigm and technologies for handling of enterprise data. Much like "web data" enterprise data also has volume, variety, velocity, and veracity challenges. This workshop will bring together academic researchers, technology company researchers, and industry practitioners from multiple industries, including Retail, Banking, Travel and Transportation, Government, etc. The goal of the workshop will be to share key challenges in EBDSAM, novel approaches to solutions, key business challenges that can be addressed by EBDSAM. Participants are encouraged to start with specific business scenarios and demonstrate research prototypes they have created in the EBDSAM area.