Business Intelligence

Anthony DeCerboMeaghan Duffy

Steve SmithWarren Scoville

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

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

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

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

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

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

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

Tools for users – Dashboards

Allows non-technical end users to make standard queries with minimal effort

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

 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

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

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

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

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

Benefits of ERP based BI Tools

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

How ODS and EDW are setup

Questions?