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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 5 th , 2005. Agenda. Background Objectives of the thesis Methodology What is Business Intelligence? BI maturity The model

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Model of business intelligence maturity levels for mobile operators

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  1. Model of business intelligence maturity levels for mobile operators Mikael Ojala Thesis Seminar on Networking Technology Helsinki University of Technology April 5th, 2005

  2. Agenda • Background • Objectives of the thesis • Methodology • What is Business Intelligence? • BI maturity • The model • Results and conclusions

  3. Background • Thesis written at AffectoGenimap • Supervisor: prof. Heikki Hämmäinen • Instructor: M.Sc. Mikko Mattila • Started in September 2004

  4. 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?

  5. Used methods: literature survey and qualitative interviews Used methods: qualitative vs. quantitative interview results Methodology Two main phases of the thesis: • Theoretical framework and building of the model • Validation of the generated model

  6. What is Business Intelligence? The objective: Better decisions!

  7. BI has a cyclic behaviour Different cycles for different levels of decision-making What is Business Intelligence? (2) • A process that refines and shares knowledge that is needed by the decision-makers • BI is a continuous process

  8. That means that... BI maturity = The efficiency of the cycles! Business Intelligence maturity • Definition: Business Intelligence consists of cycles • Two aspects to BI maturity: • The maturity of technology • The maturity of organisation’s policies

  9. The model • Basic idea:

  10. Improvement needed! The model (2)

  11. 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

  12. 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.

  13. Thank you! Questions? Comments? mikael.ojala@affectogenimap.fi

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