1. Data Archival
1.1. Purpose
1.1.1. Act as a repository for the wealth of the companies information. This is a forever standing log of all data which the company has rights to.
1.2. Platforms
1.2.1. Hadoop
1.2.2. Impala / Shark
1.2.3. MapR
1.3. Consumers
1.3.1. Data Warehousing Team
1.3.2. Analysts
1.3.3. Advanced Analytics
1.4. Producers
1.4.1. Data Acquisition Team
2. Data Warehousing
2.1. Purpose
2.1.1. Store and provide access to reliable, complete, and accurate data structures for long-term analysis and business continuity
2.2. Platforms
2.2.1. MySQL, PostgreSQL, etc.
2.2.2. Vertica, Netezza, ParAccel, etc.
2.3. Consumers
2.3.1. Advanced Analytics Team
2.3.2. Business Users
2.3.3. Application Development Groups
2.4. Producers
2.4.1. Data Warehousing Team
3. Data Presentation
3.1. Purpose
3.1.1. Present information to end-users through ubiquitous access and properly documented sources
3.2. Platforms
3.2.1. Tableau Server
3.2.2. Evernote Business
3.2.3. Dropbox, Box.com, etc.
3.3. Consumers
3.3.1. Executives
3.3.2. Managers
3.3.3. Individual Contributors
3.3.4. Customers
3.4. Producers
3.4.1. Data Analysts
3.4.2. Application Developers