If You're Ready to Leverage
Your Data to Gain Insights,
We Got IT.
Vertex helps companies collect, engineer, and interpret data to increase top line, gain efficiencies, improve quality, and address many other aspects of organizational processes.
Our Data & Analytics Services
Autonomous examination of data using BI tools to discover deep insights as well as make predictions and recommendations. Techniques include text mining, machine learning, pattern matching, graph analysis, simulation, neural networking, and others.
The ability of a computer or other machine to perform activities typically thought to require human intelligence. Examples include digital assistants (Alexa, Hey Google…), streaming music and news recommendations.
The process of gathering and analyzing large, complex data sets with the goal of discovering useful information to help make smart business decisions.
Graphic representation of data to help interpret relationships among data.
A category of artificial intelligence (AI), machine learning uses algorithms that automatically improve with experience by building a mathematical model with sample data.
Process of using known results to create, process, and validate a model that can be used to forecast future outcomes.
Continuous efforts to improve products, services, or methodology. Through constant evaluation, processes are evaluated and improved in the light of their efficiency & effectiveness.
Big Problems? Real-World Solutions.
Insurers: Need AI and Predictive Models to Improve and Expedite Your Underwriting Processes?
We Got IT.
Discover how AI and predictive models can expedite the underwriting process and improve internal efficiencies.Read The case study
See how Vertex simplified extracting point-of-sale data from numerous retailers to measure sales metrics for this major consumer packaged goods (CPG) company.Read The case study
Suppliers: Learn How Big Data Analytics Justified Custom Retail Product Displays by Aligning with Demographics.
Do custom retail displays help cut through the clutter of product choices? The data says you can bet on it.Read The case study
Among our Clients
What We Bring to the Table
The collection, mangling, and presentation of meaningful patterns in data to gain insights that allow smart decision-making.
The collecting and validating complex data sets.
Data science uses scientific processes, algorithms, and methods to pull insights from data collections. Data science is related to data mining, deep learning, and big data.
The graphic representation of data via the systemic mapping of data values.
Vertex focuses on clients’ overarching goals, looking beyond the obvious answers to scale solutions across the entire organization. We drive value.