Transcript Model of business intelligence maturity levels for mobile operators

Model of business intelligence
maturity levels for mobile operators
Mikael Ojala
Thesis Seminar on Networking Technology
Helsinki University of Technology
April 5th, 2005
Agenda
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Background
Objectives of the thesis
Methodology
What is Business Intelligence?
BI maturity
The model
Results and conclusions
Background
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Thesis written at AffectoGenimap
Supervisor: prof. Heikki Hämmäinen
Instructor: M.Sc. Mikko Mattila
Started in September 2004
Objectives of the thesis
• What is mobile operators’ Business
Intelligence like?
– Does operators’ BI vary from other fields?
• Create a model for measuring mobile
operators’ maturity on Business Intelligence
– Is the model different for different kind of operators?
Methodology
Two main phases of the thesis:
1. Theoretical framework and building of the model
Used methods: literature survey
and qualitative interviews
2. Validation of the generated model
Used methods: qualitative vs.
quantitative interview results
What is Business Intelligence?
The objective: Better decisions!
What is Business Intelligence? (2)
• A process that refines and shares knowledge
that is needed by the decision-makers
• BI is a continuous process
BI has a cyclic behaviour
Different cycles for different levels of
decision-making
Business Intelligence maturity
• Definition: Business Intelligence consists of
cycles
• That means that...
BI maturity = The efficiency of the cycles!
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Two aspects to BI maturity:
1. The maturity of technology
2. The maturity of organisation’s policies
The model
• Basic idea:
The model (2)
Improvement needed!
Results
• The validation resulted the final model
• Model is rather general:
Mobile operators’ BI does not differ
from other fields!
• Two models:
– A model for service operator
– A model for network operator
Conclusions
• The maturity of the operator’s business
affects to the maturity of its BI
• Large organisation size sets more demands
for organisation’s BI
• Feedback for the model:
+ quantitative
+ information on many levels
- answers are always qualitative
• Usage:
– Quality checking, benchmarking, etc.
Thank you!
Questions? Comments?
[email protected]