Business Intelligence
Anthony DeCerbo
Meaghan Duffy
Steve Smith
Warren Scoville
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Agenda
S History of Business Intelligence
S Description of Business Intelligence
S Where Business Intelligence is going
S Relevance of Business Intelligence to institutions of higher learning
S Short-comings of UD’s current BI and data warehouse solution
S Benefits of new ERP based data warehouse and BI
S How the new data warehouse is setup
History of Business Intelligence
S Early End Users Computing Era
S During the 1970s
S Early tools used for “do-it-yourself ” solutions
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Waiting long period of times for reports
S User friendly languages surfaced to offer a connection between
end users and the hostile IT environment
History of Business Intelligence
S Information Centers
S Early 1980s
S Central support organization to provide support for end users
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Relationship between non-technical user and IT
S Leads to an increase of productivity for the end users
S Relational Databases
S Data stored in rows and columns
History of Business Intelligence
S Mainframes lean toward Client Servers
S Late 1980’s Organizations moved from mainframes to client
servers
S Personal Computers
S Office Applications
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Excel, Word, and Access
History of Business Intelligence
S Data Warehousing/Business Intelligence (1990s)
S Data Warehousing is a reorganization of data, a cleaner
version of existing data
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Accurate way to store and analyze data.
S Web-based BI allowed The web-based Business Intelligence has
allowed tools to be organized across corporate intranets and
extranets
Why Use Business
Intelligence?
S Compiles information from current and legacy systems
S Data can be formatted to show specific information
S End users have the ability to customize reports as needed
S Provides the functionality of spreadsheet programs for
customization of reports
S Centralized data, integrated performance metrics and timely
controls
S Strategic modeling to understand how to move forward
Tools for users
S Scorecards
S Replaces the excel-based spreadsheet form of management
S Integrate data from different sources: spreadsheets, databases and flat
files.
S Data Cubes
S Two dimensional over time to a multi-dimensional hypercube
S Drill down, slice and dice, pivot, modeling
S Queries
S Modify existing queries
S Create new
S Manipulate results
Tools for users – Dashboards
S Allows non-technical end users to make standard queries with
minimal effort
What’s new - Corporate
Performance Management
S Sarbanes-Oxley
S Operational tools for real-time decisions
S Detailed timely information
S Faster query response time
S More ad hoc querying capability
S Access to lowest granularity data
S A scalable model that can roll up to the executive dashboards
or scorecards
What’s new - Semantic Web
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Provides the context of the information in addition to the information
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Folksonomy vs. taxonomy
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Five layer model
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Resource layer – data structured- unstructured, dynamic-static
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Data conversion layer - map various databases into the data warehouse
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Data storage and data management layer – manage data cubes, user accounts, and
calendar management.
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Knowledge/trend/pattern layer – manipulate data cubes, data mining, and statistical
modules.
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User process layer – reports, web functions
Relevance in Higher Education
S Adoption of Business Intelligence tools in education lags
corporate adoption
S In May 2008 survey, only 29% institutions reported they were
using BI
S 51% planned to implement in 6 to 24 months
S Offers insight on the business side
S Admissions, Finance, Advancements
S Balancing new students evenly among faculty and facilities
S Are we performing our best, while keeping costs down
Relevance in Higher Education
S Can also report on the academic side
S “Institutional Intelligence”
S Are classes being offered at the right time
S Helping to identify and offer help to at-risk students
Short-comings of Current BI tools
at UD
S Technical
S Data Warehouse only stores data from one system
S ETL specialized to pull data from student information system
S Organizational
S Was an IT project
S No Executive Sponsor
S Currently being used for daily reporting
S Does not help with data mining or trending
Benefits of ERP based BI Tools
S Data warehouse will have information from all systems,
which are currently separate
S New ODS and EDW will offer daily reporting, as well as
trending
S Several executive sponsors for the whole project
S Not just an IT project
S Getting the right information to the right people
Benefits of ERP based BI Tools
How ODS and EDW are setup
S Three different databases
S Operational System (Banner)
S Operational Data Store
S Enterprise Data Warehouse
S ETL Process from Banner to ODS
S Denormalized
S ETL Process from ODS to EDW
S Star-schema for trending
How ODS and EDW are setup
Questions?
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