Clarity in Decision-Making for Portfolio Oversight: A Case Study in a Technology Company
Anttila, Tuomas (2026)
2026
Johtamisen ja tietotekniikan DI-ohjelma - Master's Programme in Management and Information Technology
Johtamisen ja talouden tiedekunta - Faculty of Management and Business
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Hyväksymispäivämäärä
2026-04-17
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202604173979
https://urn.fi/URN:NBN:fi:tuni-202604173979
Tiivistelmä
This thesis examines how data-driven decision-making can be improved for portfolio level decisions in a technology organization. The case organization experiences ambiguity in decision rights and forum ownership, inconsistent decision-making approaches under uncertainty, and fragmented evidence practices. These issues reduce transparency, slow decision flow, and make it difficult to trace “what was decided and why”.
The study applies a mixed-method single-case design. First, semi-structured interviews were conducted to identify the underlying organizational and information-related factors behind decision ambiguity. Second, a department-wide questionnaire was used to prioritize the identified challenges based on perceived importance, impact and effort. Third, an interview-derived document and system analysis mapped key evidence sources and assessed their readiness and use. Findings were triangulated across these sources.
Based on the results, the thesis proposes requirements and a minimum viable product (MVP) for a repeatable data-evidence-decision process. The MVP includes decision-right and forum guardrails, a standardized decision process with an evidence and documentation flow supported by a minimal KPI dashboard and a phased pilot plan to evaluate improvements in clarity, traceability and transparency.
The study applies a mixed-method single-case design. First, semi-structured interviews were conducted to identify the underlying organizational and information-related factors behind decision ambiguity. Second, a department-wide questionnaire was used to prioritize the identified challenges based on perceived importance, impact and effort. Third, an interview-derived document and system analysis mapped key evidence sources and assessed their readiness and use. Findings were triangulated across these sources.
Based on the results, the thesis proposes requirements and a minimum viable product (MVP) for a repeatable data-evidence-decision process. The MVP includes decision-right and forum guardrails, a standardized decision process with an evidence and documentation flow supported by a minimal KPI dashboard and a phased pilot plan to evaluate improvements in clarity, traceability and transparency.