Data-Driven Problem Solving

Within the methodology known as Six Sigma, Data-Driven Problem Solving refers to the DMAIC model (Define, Measure, Analyse, Improve and Control). It’s the process through which not only results are measured, but the way those outcomes are reached by an organisation. Data-Driven Problem Solving allows organisations to assess information that identifies the underlying indicators of operational performance and implement systems and processes to drive sustained performance improvement.

Data-Driven Problem Solving includes:

Data capture, analysis and automation
Identifying Lead and Lag indicators (KPIs)
Six Sigma: Problem-solving methodologies (DMAIC)
Root Cause Analysis
Performance management
Visual display and management

“If you don’t measure it, you can’t improve it!”

It can be all too easy for organisations to jump to conclusions when solving problems, commonly basing their actions on preconceived ideas or subjective perspectives. Teams need awareness of not only ‘if’ but also ‘how’ they achieve their goals and targets. This allows the organisation, leaders and the teams to better manage performance.

Outcomes include:

Solving your more complex and recurring problems
Implementation of KPIs and operational metrics
Structured, rigorous, data-focused problem-solving methodology applied
Building people’s capability to solve problems
Understanding performance and making informed and data-driven decisions

Data-Driven Problem Solving

Data-Driven Problem Solving includes:

“If you don’t measure it, you can’t improve it!”

Outcomes include:

View our business operations stages to drive outcomes by achieving operational excellence, process improvement and capability development.

Business & operations strategy

PROCESS IMPROVEMENT THROUGH LEAN

OPERATIONAL LEADERSHIP & CULTURE

quality management

Data-Driven Problem Solving

business acumen