Business Intelligence for Higher Education in Nigeria: - ISKO

Report
Business Intelligence for Higher Education in Nigeria:
Towards Making Academic Data a Productive Advantage
By
Babajide AFOLABI (Ph.D.) and Adetunji ADEBISI
Department of Computer Science and Engineering
Obafemi Awolowo University, Ile-Ife, Osun State, Nigeria.
Being a Paper Presented at
International Conference on Transition From Observation to Knowledge to Intelligence
August 20-22 2014,UNILAG, Lagos, Nigeria
Content:
•
Introduction
•
What Business Intelligence is?
•
BI and Decision Making
•
Education –
•
BI Technology and Higher Education in Nigeria – Phases of BI Technology
•
BI Technology – Methodology
•
BI as a Productive tool for Education Sector – Sample Dashboards
•
The Nigeria Factor
•
Call to Action
Emphasis on Higher Education in Nigeria
Introduction:
• Universities are undergoing a dramatic change triggered by varieties of
technologies, competitive forces and changes to their funding model.
• Most institutions have not taken advantage of records lying in
administration offices; admission records, academic performance
statistics and financial data to be more productive.
Introduction Cont’d:
• This paper provides a valuable insight into the application of data driven
business tools to provide management and other stakeholders with real
time information about performance indicators, benchmarks and future
directions.
• It further unlocks the answers that improve decision making around
various educational activities —that directly impact productivity—by
making information more easily accessible to a wider audience.
What Business Intelligence is?
• Business intelligence, or BI, is an umbrella term that
include variety of software applications used to analyze
raw data.
• made up of several related activities, including data
mining, online analytical processing, querying and
reporting etc
What Business Intelligence is Cont’d ?
BI results when organizational culture, business processes and
technologies are designed and implemented with the goal of
improving the strategic and operational decision making
capabilities
[This include; internal and external stake-holders]
What Business Intelligence is Cont’d ?
What it is not…
•
•
•
•
Application
Tool
Report Base
Archive
What it is…





Solution
Continuous process
Knowledge Base
Actionable Information
Business Asset
BI and Decision Making
Executive: We are not getting the information we need to make
decisions in a timely manner. Why can’t we get it?
IT: Well, we have 27 systems that we need to pull information from
to create the reports that you are looking for.
BI and Decision Making
• Business-intelligence has proven to be an effective means of
improving the decision-making within an organization. While
traditionally applied to profit making private companies BI has
recently been applied to public institutions as well.
• It provides one stock point of view of data analysis thereby
making decision making easier and simple
Education at a Glance
• The role of education in human development cannot be over
emphasized.
• no nation can rise above the quality of education its citizens
receive.
• 5 National objective in Nigeria cannot be achieved without
education (Fed. Govt. of Nig. 2004)
Higher Education in Nigeria
A
Fig. 1: Nigeria Higher Education Structure
Source: http://eae.alberta.ca
A
BI Technology and Higher Education in Nigeria
• BI Technology - moving beyond the practice of creating
reports on past events, and towards the use of sophisticated
statistical methods to predict future outcomes. Rogue
Wave Software (2013).
BI Technology and Higher Education in Nigeria
Fig. 2: Business Intelligence Infrastructure.
Source: Raghavendra (2012
Phases of BI Technology:
Fig. 3: Three Phases of Business Intelligence
Source: A.T. Kearney analysis (2011)
Methodology:
BI as a Productive tool for Education Sector
By deploying the BI Model;
• maximize access to information, also can
• bid farewell to the massive paper trail often associated
with Do not have to deal with heterogeneous and silo’s
systems
BI as a Productive tool for Education Sector Cont’d
•
Dependence on IT staff minimized
•
Obtain fact easily without the use of sophisticated tools.
•
Can perform extensive analysis of stored data to provide answers to
exhaustive queries.
BI as a Productive tool for Education Sector Cont’d
Figure 4: BI and Higher Education
Sample Dashboards
Performance/Result Analytics Dashboard
Fees Payment Analytics Dashboard
The Nigeria Factor
Conclusion:
• A framework for BI in higher education is presented here. A
large number of higher education applications are already in
operation in most of the institutions in Nigeria.
• This is the right time for introducing BI in the higher
educational system in Nigeria and to further strengthen the
educational sector
Call to Action
“You can’t manage what you can’t measure.
You can’t measure what you can’t describe”
Robert Kaplan and David Norton
Authors of “The Balanced Scorecard”
References:
Idogho, P.O. (2011) Higher Education In Nigeria And The Challenges Ahead. European Journal of
Educational Studies 3(2), 2011.
Itedjere, P.O. (1997) History of Education. Benin City, Nigeria: Osasu Publication.
Kearney, A.T. (2011) Better Decision Making with Proper Business Intelligence Quality information is
key to making quick, rational business decisions, Illinois USA.
Marius, C. (2009) Business Intelligence and E-Governance, “Valahia” University, Târgovite.
Raghavendra, R.N. and Smeerti, T. (2012) “Business Intelligence; Building an Intelligent
management” Bangalore, Karnataka state, India.
Richard, K. (2006) “Intelligent Cities: developing new methods of public service management and
delivery”, www.ccsr.ac.uk/methods/festival/programme/urb/kingston.ppt
References Cont’d:
Whawo, D. D. (1997) An Introduction To The Study Of Education (2nd Edition). Benin City: World Of Books Publication.
Oyaziwo, A., Philipa O., Idogho, Justina S.I (2012) Increasing Access to University Education in Nigeria: Present Challenges
And Suggestions For The Future. The African Symposium: An Online Journal of the African Educational Research Network.
Rogue Wave Software (2013): Driving Competitive Advantage by Predicting the Future Extending business systems with
embedded predictive analytics; USA. www.roguewave.com.
Watson, H. J. and Wixom, B. H. (2007) The Current State of Business Intelligence. Computer. Pp. 96-99.
http://Liquidlearning.Com.Au/Llg08/May/The-Higher-EducationBusiness-Intelligence-Conference-2014.Html
http://Www.Atkearney.Com/Documents/10192/79cbde83-4fa8-4bfb-B4a3-F57f400d1576
http://eae.alberta.ca/ retrieved on May 26th, 2014.
Thank You

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