BI Study Case - Eunis · BI Study Case Giving answers to ... Plan Control KPIs Official Statistics Operational Data Store ... • Entrepeneurship • Mobility of researchers R+D+i
Post on 15-Apr-2018
219 Views
Preview:
Transcript
CEO: You guys have a lot of data, don’t you? CIO: (er…) Well, basically yes
Can we make better use of them? What for?
You know, taking better decisions, being more efficient, transparency, accountability, and all that stuff
We can try... When do you say we need it? What like in a few months this bundle, and in a couple of years the whole lot?
(ahem) And which additional resources do we have? What for? Don’t we have the data already? It is just using them, isn’t it?
A funny story (any resemblance to reality
is purely coincidental)
The Questions General Frame
The Answers The BI Process
• University of Zaragoza • Spanish Scenario • Governance Challenges • Is BI a Solution? • Goals
• Premises • BI Approach • Organization • Bottom-Up BI Vision • BI Architecture • BI Project • Results • Benefits
• Established 1542 • Within Spanish Top 10 in all rankings • >50 EHEA grade courses + master/doc + along-life
• Engineerings & Architecture • Sciences • Biomed’s • Social • Arts & humanities
• ~ 40k students & 4k academic staff • ~ 700 in / 900 out Erasmus students/year • >200 structured research teams
University of Zaragoza The Questions The Answers
Official KPIs
Facul&es
Analisys & Forecas&ng
Office Ac&vity
Quality
Data
Info Knowledge
Autonomous Communities (Regions) Administration
Spanish General State Administration
Assessment
Funds
Governance
Decreasing students & grants Increasing Fees
Increasing Competitiveness
Sta<s<cs
Decreasing Budget Increasing Quality levels required
Improving control tools
Repor<ng
The Questions The Answers Spanish Scenario
Official Organisms University
Governance challenges
• Increasing number of inquirers (inside & outside the university)
• Different criteria when demanding information
• Data analys is f rom dif ferent information systems
• Generation of official statistics
• Transparency / Accountability
Governance Challenges
University Governance Different players in the University are requesting information to facilitate their decision-making process:
• Rector • Vice Rectors • Heads of Faculties • Etc.
The Questions The Answers
But there are some difficulties: • Quality of the data • Lack of transparency of data owners • Poor data integration across systems • Global view of data, complex and interconnected They must be faced, otherwise: • Too complicated and not always satisfying BI solutions • Finally needing extra specific queries, reports, Excel files …
Is BI a Solution? The Questions The Answers
BI tools are good to: • Help the management boards
take the right decisions • Meet the demands for
accountability • Support the strategy of
transparency and PSI reuse
UNIVERSITY GOVERNANCE
Increasing Quality levels required
& Improving control tools
Goals
Support Decision-Makers
Reduce Costs Increase Quality of Teaching
Retain Students
Improve Reputation
Recruit Students
BI System
Decreasing Budget
Increasing Fees
More Competitive
Decreasing students
and grants
The Questions The Answers
Requires
Requires
Avoids
Avoids
Avoids
Optimize Organization
The Questions General Frame
The Answers The BI Process
• University of Zaragoza • Spanish Scenario • Governance Challenges • Is BI a Solution? • Goals
• Premises • BI Approach • Organization • Bottom-Up BI Vision • BI Architecture • BI Project • Results • Benefits
Full functionality? à cover all main areas of the University:
• Academic (students) • Human Resources • R+D+i • Financial • Teaching
Transparency + Collaboration? à give extensive access to the system Time reduction, Autonomy & Control? à Agile development & acquiring expertise Cost reduction? à Open Source
Premises The Questions The Answers
BI Approach
Proposal
Collaborative Process
Closed solution
Home made solution
University Staff
Specialized partner
Benefits
Time reduction Autonomy
Control
The Questions The Answers
Collaborative solution
High-level institutional
compromise
BI Process Methodology
Tools
BI Expertise
Academic, Teaching, HR
Financial, R+D+i
Domain Expertise
Organization
Organic Unit Users & Technicians
Project leader
IT developpers
Rector Vice-rectors
CIO
Board
IT Director
Quality&Rationalization Office
Tech Support
Organic Unit Managers Tech Support
The Questions The Answers
IT Skills
Analysis Skills
Business Skills
x N
Go
vern
an
ce
The Questions The Answers Bottom-up BI Vision
MATURITY
Plan Control
KPIs
Official Statistics
Operational Data Store
Transactional DB
Normalization and aggregation of data
Day to Day reporting with Data Quality guaranteed in the bottom layer
Accurate analytics for Official Institutions Create Datamarts for specific areas reporting
Added value reporting & services from an ODS avoiding access to Transactional DB
Historical and trending information
Analytics for decision making Implement Official KPIs checking
Progressive question-driven process, applying data quality in origin, to provide right answers to increasingly complex inquiries
ORIGIN OF DATA
Staging Area
DWH
SIGMA Open Analytics
ETL ETL ETL Schema
Q q q
Pentaho Data Integration
Schema Workbench
SIS CRIS
UNIV.
ETL
Datamarts
SIGMA
Official Statistics
The system architecture includes a general DWH which serves the different datamarts for OLAP analysis
and also allows report generation
BI Architecture The Questions The Answers
Development
R+D+i
BI Project
Global
Analysis
Develop.
Academic (students)
HR
Analysis
R+D+i
• Admission • Registration • Performance • Graduated • Cohorts
Academic (students)
• Researchers • Staff • Work place • Position
HR
• Groups & Institutes • Projects & contracts • Intellectual property • Scientific production • Entrepeneurship • Mobility of researchers
R+D+i
2013 2014 Q4 Q3 Q2 Q1 Q4 Q3 Q2 Q1
To be defined
The Questions The Answers
Results The Questions The Answers
~2.5/5 areas covered (academic – HR – R+D+i) > 100 KPIs 3 Dashboards with KPIs
> 6k users with access to the system:
4 admin >10 advanced >200 area-specialized >6k general (potential)
Benefits
• Institutional alignment in all the process
• Close collaboration between different areas of the University
• Consolidated BI Competency Center (BICC)
• Information transparency
• Collateral improvement of data quality and integration
The Questions The Answers
top related