What we do

We inform decisions.

DECISIONS THAT DETERMINE:

Success or failure.
Growth or stagnation.
Efficiency or inefficiency.
Innovation or status quo.
Winning or losing.

How we do it

The analytics continuum is vast and increasingly complex.
Fortunately, our tools cover the full gamut of this continuum.
All custom. All the time.
Because it’s your business question, not someone else’s.

Descriptive Statistics

The use of data and statistical principles to make inferences about how things work and what is driving changes in performance, efficiency and efficacy.

Data Mining

The application of statistical and mathematical algorithms to identify patterns and relationships that are inherent in any set of data — the foundation of an integrated data strategy.

Data Visualization

The process of transforming raw data into a graphical or pictorial representation by various techniques such as charts, graphs, and maps.

Predictive Analytics & Modeling

Identifying or deriving indicators that impact future outcomes based on data mining and statistical modeling frameworks.

Natural Language Processing

Development of algorithms and models that can read, understand, and derive meaning from human language.

Robotic Programming Automation

Creation and use of software bots to automate repetitive tasks, improving efficiency and reducing manual errors.

Machine Learning

The convergence of data mining, computer science, statistical modeling and machine learning allows us to build tools that will not only identify patterns in your data but continually learn from that data, generating truly data-driven predictions.

Augmented Intelligence

The use of machine learning and deep learning to analyze data and provide actionable insights.

Management Strategy Evaluation

Effective strategy is about choices. Saying “no” is more critical than saying “yes.” Using data, we enable organizations to make informed decisions based on quantitatively driven scenarios that complement intuition.

Our Projects