Big Data & Data Analytics

Big data is no longer just the domain of data scientists.

The latest generation of analytic technologies and methodologies can give organizations vital insights into their operations and services and provide new ways to meet mission requirements. The challenge is agility. As new requirements emerge, organizations need the ability to implement solutions that integrate and analyze multiple types of data coming from multiple data sources—and to do it quickly and cost-effectively.

Our Solution Areas

Zolon Tech integrates cloud and big data technologies to enable the development of large data sets while reducing the complexity of the data environment. As requirements evolve, new sources can be added. And our use of agile development methodologies makes it possible quickly deliver solutions that produce actionable intelligence. Our data mining techniques include:

Clustering and segmentation

Big data needs order. Clustering and segmentation bring like data together so users can gain valuable insights.

Classification

Data classification is the process of organizing data into different categories for effective and efficient use.

Regression

Regression is a set of statistical processes for estimating the relationships among variables. This action helps see how data can correlate to one another.

Association and set mining

Data does not just exist. It needs to be mined, so organizations use the right data to answers the questions most pertinent to their business.

Similarity and correlation

Different data sets can lead to the same conclusion. Similarity and correlation is a process to see what data sets impact others the most.

Neural networks

Neural networks are a computer system modeled after the human brain and nervous system.

The Zolon Tech Advantage

Big data requires more than good tools. Too often organizations invest in the best technology only to find that their initiatives run over budget, take too long to develop, and still fail to deliver the envisioned results. At Zolon Tech, we understand how to translate operational and mission requirements into big data and analytical solutions quickly and effectively—and to deliver solutions that meet and exceed those requirements. Here’s how we do it:

Highly-skilled staff. Our big data team includes skilled data scientists—but also business analysts, business managers, and developers who are recognized leaders in the field.

Deployment agnostic. We deliver solutions that can run in the commercial, on-premise, or in a hybrid environment, giving clients the ability to choose the platform that best fits their needs—without getting locked in.

Big data ready. Our team develops comprehensive solutions that reflect a solid understanding of business, operational, and mission requirements.

Big Data Maturity Model. We have developed a methodology that helps clients move progressively from simple diagnostic analytics to more advanced predictive and prescriptive analytics.

Spotlight

AI-Driven Analytics

“By 2020, the dominant analytics architecture will include purpose-built, optimized solutions, one-third of which will be based on federation of nonrelational and relational data.”

Source: IDC

The combination of analytics and artificial intelligence is changing the field of big data. The goal is not to take human analysts out of the picture, but to provide those analysts with more meaningful insights into the data and to help them translate datainto decisions. The emerging field of predictive analytics—one of six key initiatives of our Centers of Excellence, is helping organizations address a whole new class of problems.

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