1. BI Technical Infrastructure Approach
May 15, 2013

2. Increase Data Consistency Expand Access to Data
Drivers for Change
Increase Data Consistency
Expand Access to Data
Improve Ways to View Data
At a lower, more sustainable cost of ownership

3. Current BI Environment
Multiple data warehousing storage methods that contain inconsistent data.
No Support for OLAP
No consistency in data definitions and business rules
Limited ways to view data
All reporting needs have to go through Central IT, resulting in bottlenecks
Business logic in multiple places and inconsistent with each other.
Business logic not transparent to customers
Heavy reporting load on transactional systems

4. Design Guiding Principles
Keep it Simple; Eliminate redundancies and failure points
Reduce licensing costs and total cost of ownership
Provide BI self-service capabilities
Promote transparency

5. Future BI Environment Business logic is transparent to customers
More visualization choices
Consistent business logic in one place
Single data warehouse that contains consistent data
Support for OLAP
Self Service BI
Mashup Data!
Reduced IT bottlenecks
Data is persisted in models; reduced load on transactional systems

6. Standardize on Microsoft BI Platform Reduce Ellucian Dependencies
Migration Plan
Standardize on Microsoft BI Platform
Standardize on Microsoft ETL Tool (SSIS)
Standardize on SQL Server
Upgrade to MS 2013 Tools
Phase out SAP BI Tools
Reduce Ellucian Dependencies
Provide near-real time data access
Phase out Ellucian ODS and EDW
Add tools to support data governance
Introduce Data Governance tools
Introduce data services layer

7. EXAMPLE - Standardize on Microsoft SQL Server
What’s Changing
Make Microsoft SQL Server the primary reporting relational database platform in BI environment
Phase out Oracle in BI environment
Stakeholder Impact
It will be possible to query the Relational Data Warehouse from Excel.
If you’re a developer, you’ll need to install SQL Server Data Tools.
Start reducing dependency on the Oracle Platform for reporting needs
Drivers for Change
Lower licensing cost per user (SQL Server: $5.39 vs Oracle: $118.59)
Microsoft Database is feature complete - No additional licensing for partitioning, compression, OLAP. With Oracle, these components would be extra (e.g. partitioning - $150k one time and $30k recurring)
Timeframe
Microsoft SQL Server: months
Phase out Oracle – years

8. BI Infrastructure – Stakeholder Analysis

9. BI Infrastructure Projects - Timeline