Mu Sigma has a singular purpose:

To instill in large enterprises a fundamentally new approach to decision making through data mining and machine learning consulting. It is designed to not just match today’s incredible pace of change, but to help firms capitalize on big data analytics. We call it a new Art of Problem Solving (AoPS™).

Scale with analytical problem solving

Plan for outcomes and transformation in unison

Establish a clarity of purpose with all stakeholders in the problem-solving process and chart a course toward realizing measurable outcomes and transformative change.

Drive visibility across the problem universe

Manage and analyze the interactions between problems to achieve better quality solutions.

Encode problems in a way that promotes the best design

Define fuzzy business problems in a consistent, structured manner by asking the right questions.

Account for interdependencies across analytics

Address descriptive, inquisitive, predictive, and prescriptive analytics in unison to drive better consumption by business stakeholders.

Harmonize the creation and consumption of analytics

Establish a formal decision supply chain to ensure transparency from problem definition through insight generation and success measurement.

This isn’t another methodology. It’s the most important aspect of data science consulting, a system “a series of habits, artifacts, and software” each of which must be continuously sharpened, but also applied daily to your problem solving work.

If applied in your environment, this system provides the ‘mojo’ that your company needs to move beyond just mitigating the risks of change, toward taking advantage of those risks.

But what about your day job?

Adopting a new Art of Problem Solving doesn’t replace your day job of solving specific problems. Instead, the two share a symbiotic relationship, each feeding off one another to help your organization use business intelligence and analytics to make better decisions.

A harmony between Art of Problem Solving and Solving Specific Problems helps transform Decision Science in organizations

Data Analytics firms need to assemble the right mix of people (Data Scientists), process (Data Analytics Services) and platforms (Big Data Analytics Software) to harmonize Solving Specific Problems and an Art of Problem Solving

Take a look at the problems we solve