Data-Driven Process Improvement

Most organisations already hold large amounts of process data in ERP, CRM, workflow and case management systems, yet improvement work still relies on workshops, anecdotes and one-off spreadsheets. Problems are defined too broadly, baselines are missing, measurement systems are not checked, and root causes are guessed rather than tested. When a change is made, there is no control plan, so performance drifts back within months.

This programme follows the DMAIC cycle (Define, Measure, Analyse, Improve, Control) and combines it with Lean thinking and modern process analytics. It moves from framing the problem in business terms, to building a reliable baseline, to analysing variation and root causes with data, to designing and piloting improvements, and finally to sustaining them with control charts, dashboards and clear process ownership.

Built on recognised practice. The programme references the DMAIC method as described in the ISO 13053 series on quantitative methods in process improvement, Lean principles of value and waste, statistical process control, BPMN 2.0 for process modelling, and the principles of process mining based on event logs. Participants learn how to apply these methods proportionately, without needing advanced statistical software.

Decisions this programme improves. Which processes and problems deserve improvement effort; whether a performance gap is real or random variation; which causes to act on first; whether a pilot result justifies a full roll-out; and which measures process owners should monitor to know that the gains are holding.

How it is delivered. Twenty hours across five sessions, built around one running case: a service process with long cycle times and frequent rework, supported by a realistic data set. Participants define the problem, build a baseline, analyse the data in spreadsheet tools, propose and test improvements, and prepare a control plan.

In-house option. For organisations, the programme can be tailored to your own processes, systems and data, so that participants work on live improvement opportunities and leave with project charters ready for approval.

Who Should Attend

Process and operational excellence staff: process owners, business process analysts, and continuous improvement and excellence team members

Operations managers and supervisors: responsible for service, production or back-office performance

Quality professionals: quality engineers, quality officers and management system coordinators

Strategy and performance staff: performance management, PMO and transformation office members

Data and business analysts: who support operational teams with reporting and analysis

Objectives

Write a clear problem statement and project charter with a measurable goal and defined scope

Map a process at high and detailed level and identify value-adding and non-value-adding steps

Select process measures and key performance indicators linked to customer and business requirements

Plan data collection and check whether a measurement system is reliable enough to use

Establish a performance baseline and describe variation using basic statistics and charts

Analyse root causes using cause-and-effect tools, Pareto analysis and simple hypothesis testing

Interpret process mining outputs to identify bottlenecks, rework loops and process variants

Generate, prioritise and pilot improvement options and measure their effect against the baseline

Build a control plan using control charts, process ownership and standard work

Present improvement results and a business case to decision makers

Course Outline

Framing the Problem: From Symptoms to a Measurable Improvement Goal

Why improvement initiatives stall: unclear problems, no baseline, no ownership
Voice of the customer and critical-to-quality requirements
Problem statements, project charters and scope boundaries
SIPOC and high-level process mapping
Selecting projects by impact, feasibility and strategic fit
Stakeholder analysis and sponsor roles

Measuring What Matters: Process Data and Baselines

Detailed process mapping with BPMN conventions and value stream mapping
Choosing process measures: cycle time, lead time, first-pass yield, cost and customer outcomes
Sources of process data: ERP, CRM, workflow and case management systems
Data collection plans and operational definitions
Measurement system reliability and data quality checks
Baseline performance and process capability in practical terms

Finding the Real Causes: Analysing Variation and Flow

Common cause and special cause variation
Descriptive statistics, histograms, run charts and Pareto analysis
Cause-and-effect diagrams and the five whys, tested against data
Correlation, simple regression and hypothesis testing without heavy statistics
Process mining: event logs, process variants, bottlenecks and rework loops
Lean waste analysis and constraint identification

Designing and Testing Improvements

Generating solutions: Lean techniques, error proofing and standard work
Automation and digital workflow as improvement options, and their limits
Prioritising solutions by impact, effort and risk
Designing pilots and small experiments; comparing before and after
Cost-benefit analysis and the improvement business case
Managing the people side of process change

Sustaining the Gains: Control, Ownership and Continuous Improvement

Control plans, response plans and process ownership
Statistical process control charts for ongoing monitoring
Process dashboards that support decisions rather than reporting for its own sake
Emerging uses of analytics and AI in process monitoring: potential and limits
Building an improvement pipeline and governance routine
Action plan: applying a data-driven improvement project in your organisation

Competencies

Problem definition and improvement project chartering

Process mapping and value stream analysis

Process measurement and baseline setting

Data collection planning and data quality checking

Variation and root cause analysis

Process mining interpretation

Improvement design, piloting and evaluation

Statistical process control and control planning

Improvement business cases for decision makers

Kuwait

Train in Kuwait City with access to Elite Academy’s full portfolio of professional programs. In a city known as a key Gulf business and government center with an established professional environment, organizations and professionals can join upcoming courses or request any program to be arranged locally. Professional training in Kuwait City is not limited to a specific group of subjects. Elite Academy makes its complete portfolio available in the city across management, business, technical and industry-focused disciplines. With a key Gulf business and government center with an established professional environment, Kuwait City provides an effective setting for international learning. Use the schedule below to view courses already planned for the destination, or contact our team to request another program and preferred dates in Kuwait City, subject to scheduling and delivery requirements.