User's Challenge

「Data-driven decision making penetration into the organization」

I belong to the Management Planning Department at a mid-sized trading company with 450 employees. Data utilization promotion is a challenge—we've implemented a BI tool, but it's not being utilized in the field. Decision-making is largely based on intuition, and I want to establish a culture of data-driven decision-making throughout the organization.

Selected Approach

Data Utilization Pilot Project Planning Framework

Strategy

A methodology specialized in prioritization and planning to create "success experiences" in specific operations before BI tools are "used company-wide."

The biggest reason tools go unused is the lack of concrete examples of what value they provide. This framework is ideal for first defining small wins (quick wins).

Other Candidates:Change Management for Fostering a Data-Driven Culture·Decision-Making Process Redesign Sheet
01

Decision-Making Scenarios Identification

List up scenes in on-site operations where making judgments based on data is likely to produce results.

Decision-Making Scenarios Identification - Canvas

AI Insight

Key findings from this step

02

Identifying High-Priority Use Cases

「ビジネスインパクト」と「データの準備状況」の2軸で、パイロットプロジェクトとして着手すべきシーンを絞り込みます。

Identifying High-Priority Use Cases - Canvas

AI Insight

Key findings from this step

03

活用KPIと期待成果を定義する

For each selected data utilization scenario, clarify what metrics (KPIs) will be used and what specific business outcomes are being targeted.

活用KPIと期待成果を定義する - Canvas

AI Insight

Key findings from this step

04

Organizing the Framework and Building Consensus for Pilot Operations

選定したテーマを現場で実行に移すための、具体的な役割分担と現場への協力依頼プロセスを策定します。

Organizing the Framework and Building Consensus for Pilot Operations - Canvas

AI Insight

Key findings from this step

Summary and Next Steps

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