Lean Six Sigma

Lean Six sigma graphic

Lean is a process to create more value using the right amount of resources, with minimal waste.

Think "An eye for flow + An eye for waste".

Six Sigma provides tools for looking at statistical variation and process control. When Lean is aligned with Six Sigma techniques, the result is powerful process-improvement tools.

How do We Use the Tools?

For complex problems in which the causes and solutions are not obvious, or, when the risks of implementation are high even if the solution is obvious, our favourite tool is the Define Manage Analyse, Improve Control (DMAIC) approach.

When the results are needed immediately, or when obvious waste sources have been identified, we employ a Kaizen DMAIC approach

When an organization has a simple problem and the risks of implementing the solutions are minor our company supports decisions using other Lean Six Sigma methods.

Project Management

Projects are chartered to solve problems and people see problems differently. Typically, people look at problems in one of four ways: symptoms, causes, solutions and, unfortunately, blame.

Some organizations push people to find solutions quickly -- "Don't come to me with problems, come to me with solutions". Sound familiar?

We facilitate projects by focussing on the process, while your in-house experts provide the content. We structure projects and give staff a common framework to become effective. We help focus on the "what", clarify the "how" and move the project forward.

Think:

  • Does your team have specific goals? Do people know them? Do they agree with them?
  • Is everyone's role clear and are boundaries defined?
  • How does the team plan its work? Is their process well facilitated?
  • What problem solving process does the team use?
  • How does the team make decisions? How is conflict managed?
  • What behaviors and norms are encouraged? How do the organization's culture and values align?
  • Do you know when to use the traditional "waterfall" method and when to use the Agile method ?

 

Data Analytics

Data_analysis graphic

Manage what you measure; measure what you manage.

Simple, right ?

Organizations are constantly surrounded by numbers in the form of reports, analysis, data samples and, project data. In most cases, it's too much data and not enough information.

  • How does your organization measure its success?
  • How does your organization determine what is statistical noise versus what is a true signal?

Just because your process is "in control" doesn't mean that you are meeting customer and business needs. Variance is not always helpful if you overreact to meaningless data and under-react to important changes.

We use a variety of tools and techniques to look at your data and work with your team to increase the signal to noise ratio.

We provide insights based on health economics, predictive analytics, health technology assessment, Markov Models, Decision Trees and design thinking.

Our focus is to obtain insights into your business by finding and creating information that matters and putting it into concise reports.