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Data Science & AI/ML

Harnessing the Whirlwind

Data has been part of DSA’s core purpose since our beginning, before Big Data emerged as a buzzword in the tech sector. For over 25 years, we have been assisting clients in accessing the data relevant to their business, and creating systems that allow them to extract value from that data.

Big Data is often characterized as information that pushes the extremes in three areas; volume, velocity, and variability. These areas map directly onto the types of technical challenges that DSA can solve for our customers. For example, in creating solutions that deal with large volumes of data, we have database experts who can design table structures and deploy servers as part of the system. Or if it fits a particular project’s requirements better, we may integrate resources such as Amazon S3 for cloud-based storage, or any of a host of other high-volume data utilities.


Using Big Data
For Big Results

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Capturing and Recording Massive Amounts of Data

Extrapolating Correlations for Actionable Recommendations

Improving Business Intelligence

Staying Ahead Of The Competition

From our perspective, the raw tools are already out there to clear most of the hurdles of Big Data;
our role is to choose and integrate the best of these tools in order to suit our clients’ individual needs.
So whether your challenge is collecting data on the microsecond scale to drive PID control, or collecting enterprise-scale
data to drive long-term business intelligence, DSA can put Big Data to work for you and your organization.


What We Perfect

Data Science - 
It's In Our Name!

Big Data


FPGA Processing

Edge Computing

Cloud Services

Advanced Analytics

Robotic Process Animation

Image Analysis

Data Lakes

Data Mining Services

Pattern Recognition



Machine Learning Algorithms

Artificial Intelligence

Automation Services

Anomaly Detection

Application Development

Chat GPT

Get Started Today

Robust, modular test system architectures can result in short test development times and higher test capacities; and with more products getting tested sooner, more products will be sold and shipped. High throughput testing for pass/fail results is a worthy goal, but so much more can be accomplished. Data Science Automation extends the test strategy to automated text, web and database reporting, and ultimately to process improvements focused on defect prevention.

Would you like one of our Automated Test experts to contact you to discuss your application?