Data Science

At NXTKey / Magnus, we believe one of the biggest challenges for the industry and government is subject of Authoritative Data. Authoritative Data as a subject involves a multitude of disciplines and skillsets which include Cyber (Data) Security, Machine Learning, Artificial Intelligence (AI), Robotics Process Automation (RPA), and advanced statistical decision science.

The end goal of AI is to deliver analytics that support improvements to operating efficiency and effectiveness, strategic decision-making, and business processes improvements. This will not be possible without the ensuring that Authoritative Data is being used for policy research, projects, initiatives, and deep dives.

AI + Authoritative Data = Decision Automation

We leverage experienced data scientists and methodologies to implement advanced models and algorithms that separate the signals from the noise, discover patterns in the data, and provide predictive insights.

Our data reference architecture is designed to maximize the full potential of a customers / agency’s vast data assets, analytical tools and techniques that can support the internal and external analytics for current and future business model and to help accelerate data driven decision making.

Notional Data Reference Architecture

In addition, NXTKey / Magnus is working to help organizations navigate the “Digital Twin” methodology and related solutions. Digital twin refers to a digital replica of physical assets (physical twin), processes, people, places, systems and devices that can be used for various purpose. Basically – Integrate internet of things, artificial intelligence, machine learning and software analytics.

Digital Twin Build Components

To help you apply advanced decision science within your business, contact us.

Consulting

Advisory services based on proven, repeatable methodologies that provide vendor-agnostic solutions and implementation roadmaps.

We help you define an Authoritative Data strategy and select appropriate technologies and solutions based on your requirements and budget. We also ensure it complements your existing data investments.

Implementation

We deliver effective, highly scalable, high performance Data analytics applications. Reduce your risk, implementation time and cost.

Our team of specialists partner with you to design proof-of-concept (POC) prototypes utilizing Data technologies. On successful validation of the POC, we help you to scale and deploy your Data solution to a production-grade implementation.