Data Science

Data Science

















Data Science

Today, modern Data Science stands on the shoulders of traditional Data Science and Six Sigma for statistical uses. Six Sigma has many statistical tools and is referenced by the International Standards Organization (ISO) as a method with Lean to improve quality. Modern Data Science uses regression and prediction, classification, and hypothesis testing like Six Sigma, as well as adding bigger data deep learning and methodologies for "recommendation systems."

“CFOs have been asking more and more about artificial intelligence (AI), machine learning, robotics and advanced analytics,” says Alex Bant, Chief of Research, Finance, Gartner. “2021 is the year to pivot from discussions about the future to making real investments, seeing short-term wins and cost off-set, and having a clear plan for the future.”   Gartner - Top Priorities for Finance Leaders in 2021

High-dimensional Statistics

Modern Data Science makes possible newer and valuable capabilities like recommendation engines. We see these recommendation engines in play when shopping online with similar product recommendations or ads being displayed while we browse or shop. These engines are capable of understanding and associating people to products or people to people because of high-dimensional statistics. This is the big win! It is difficult for people to see and comprehend more than two dimensions (it is too complex for the human mind). We typically use a two-dimensional (2D) space or plane or X,Y plot to correlate or associate variables. Moving beyond two can get difficult to understand. Many dimensions, dates and numerics exist in Enterprise and Big Data environments today for this type of analysis. Data Science can assist in the database with computations across many records, dimension, dates and numerics.

Alexicon assists Customers with increasing enterprise performance capabilities with advanced business applications and analytics using proven Business Management methods, Modern Data Science, Six Sigma and Lean methods and techniques. We believe this combination is unique and valuable to all companies (products, services and research).