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10a.002.JYU_WP8 - Decision Intelligence for Mission Critical Business Decisions

Project - Summary

  • Decision intelligence uses applied data science, managerial science, and social science jointly to develop holistic solutions for enterprise-wide decision making.
  • Decision intelligence requires a good understanding of the business problem, alignment with the business team, an iterative work process, a strong data science platform handling the data governance, model accuracy, assumption validation and data visualizations.
  • In order to fulfill the pre-requisites for applying decision intelligence, a data-centric ecosystem needs to be in place for sufficient amount and quality of data.
  • Objective is to define, model and map an innovation ecosystem of organizations having a strong data-centric organizational culture, which allows the network effect to increase the value for ecosystem participant companies.
  • Applying ecosystem thinking in decision-making intelligence will create more sustainable solutions.

Project - Team

Team Member Role Email Phone Number Academic Site/IAB
Pekka Abrahamsson PI 358 40 541 5929 University of Jyväskylä
Joni Kultanen Researcher 358 40 628 1871 University of Jyväskylä
Gabriella Laatikainen Researcher N/A N/A University of Jyväskylä
Anssi Sorvisto Student N/A 358 44 285 2431 University of Jyväskylä
Taija Kolehmainen Student N/A N/A University of Jyväskylä
Jukka Lassila Project Mentor 358 50 1810 Multimentor Oy

Project - Novelty of Approach

See “Project Summary” section above.

Project - Deliverables

1 PoC on data enhanced decision making for mission critical business problems
2 Method for business problem alignment with organizational objectives
3 Case study on implementing decision intelligence in real-life cases
4 Reports on the development of the PoC (Incl. ML and optimization models), and business problem/org. objectives alignment method
5 Article on the case study

Project - Benefits to IAB

  • Means for aligning decisions on complex business problems with organizational strategic objectives through ecosystem thinking, smart contracts, modelling and means of automation.
  • Understanding on
    1. what are the building blocks of a data-centric organizational culture, and how to develop one;
    2. who to build an ecosystem of such organizations; and
    3. how to utilize data-centric ecosystems in making more optimized strategic decisions for improved business capabilities.

Project - Documents

projects/year10/10a.002.jyu_wp8.txt · Last modified: 2022/05/10 14:17 by sally.johnson