1.  Business Intelligence Anthony DeCerbo Meaghan Duffy Steve Smith Warren Scoville

2. Agenda  History of Business Intelligence  Description of Business Intelligence  Where Business Intelligence is going  Relevance of Business Intelligence to institutions of higher learning  Short-comings of UD’s current BI and data warehouse solution  Benefits of new ERP based data warehouse and BI  How the new data warehouse is setup

3. History of Business Intelligence  Early End Users Computing Era  During the 1970s  Early tools used for “do-it-yourself” solutions  Waiting long period of times for reports  User friendly languages surfaced to offer a connection between end users and the hostile IT environment

4. History of Business Intelligence  Information Centers  Early 1980s  Central support organization to provide support for end users  Relationship between non-technical user and IT  Leads to an increase of productivity for the end users  Relational Databases  Data stored in rows and columns

5. History of Business Intelligence  Mainframes lean toward Client Servers  Late 1980’s Organizations moved from mainframes to client servers  Personal Computers  Office Applications  Excel, Word, and Access

6. History of Business Intelligence  Data Warehousing/Business Intelligence (1990s)  Data Warehousing is a reorganization of data, a cleaner version of existing data  Accurate way to store and analyze data.  Web-based BI allowed The web-based Business Intelligence has allowed tools to be organized across corporate intranets and extranets

7. Why Use Business Intelligence?  Compiles information from current and legacy systems  Data can be formatted to show specific information  End users have the ability to customize reports as needed  Provides the functionality of spreadsheet programs for customization of reports  Centralized data, integrated performance metrics and timely controls  Strategic modeling to understand how to move forward

8. Tools for users  Scorecards  Replaces the excel-based spreadsheet form of management  Integrate data from different sources: spreadsheets, databases and flat files.  Data Cubes  Two dimensional over time to a multi-dimensional hypercube  Drill down, slice and dice, pivot, modeling  Queries  Modify existing queries  Create new  Manipulate results

9. Tools for users – Dashboards  Allows non-technical end users to make standard queries with minimal effort

10. What’s new - Corporate Performance Management  Sarbanes-Oxley  Operational tools for real-time decisions  Detailed timely information  Faster query response time  More ad hoc querying capability  Access to lowest granularity data  A scalable model that can roll up to the executive dashboards or scorecards

11. What’s new - Semantic Web  Provides the context of the information in addition to the information  Folksonomy vs. taxonomy  Five layer model  Resource layer – data structured- unstructured, dynamic-static  Data conversion layer - map various databases into the data warehouse  Data storage and data management layer – manage data cubes, user accounts, and calendar management.  Knowledge/trend/pattern layer – manipulate data cubes, data mining, and statistical modules.  User process layer – reports, web functions

12. Relevance in Higher Education  Adoption of Business Intelligence tools in education lags corporate adoption  In May 2008 survey, only 29% institutions reported they were using BI  51% planned to implement in 6 to 24 months  Offers insight on the business side  Admissions, Finance, Advancements  Balancing new students evenly among faculty and facilities  Are we performing our best, while keeping costs down

13. Relevance in Higher Education  Can also report on the academic side  “Institutional Intelligence”  Are classes being offered at the right time  Helping to identify and offer help to at-risk students

14. Short-comings of Current BI tools at UD  Technical  Data Warehouse only stores data from one system  ETL specialized to pull data from student information system  Organizational  Was an IT project  No Executive Sponsor  Currently being used for daily reporting  Does not help with data mining or trending

15. Benefits of ERP based BI Tools  Data warehouse will have information from all systems, which are currently separate  New ODS and EDW will offer daily reporting, as well as trending  Several executive sponsors for the whole project  Not just an IT project  Getting the right information to the right people

16. Benefits of ERP based BI Tools

17. How ODS and EDW are setup  Three different databases  Operational System (Banner)  Operational Data Store  Enterprise Data Warehouse  ETL Process from Banner to ODS  Denormalized  ETL Process from ODS to EDW  Star-schema for trending

18. How ODS and EDW are setup

19.  Questions?