Sygnology

Sygnology

Advanced Analytics

Turning Data into Information

Sygnology employs and develops cutting-edge analytical techniques to extract valuable and actionable information from your business's data. We harness data's true power by properly leveraging it into optimized decisions.

What is Data Science?

Data science is an interdisciplinary field which uncovers useable insights hidden in an organization’s data by combining math and statistics, specific subject matter expertise, advanced analytics, and learning algorithms. These insights help to address your business's most pressing questions by facilitating, informing and improving your business decisions.

Effective data science identifies relevant questions, collects appropriate data from a multitude of different data sources, organizes the information, translates analytical results into solutions, and communicates findings to stakeholders in a way that drives strategic decision-making.

The Sygnology Advantage

Sygnology knows that the true power of data lies in its ability to be translated into decisions that add or prevent loss of value. To that end, our automated equipment monitoring systems integrate statistical methods and models with physical principles to provide clients with the means to take full advantage of the archived and real-time data already being gathered. Our proprietary capabilities extract valuable information obscured by slow data rates or archival procedures to capitalize on your time series data.

Data Science Contracting

Sygnology also offers contract work in all our areas of analytics techniques via our Advanced Analytics Department to help you empower your enterprise with data science. We're here to assist you in understanding your data, leading to better decision making, improved efficiency of processes, and more effective solutions to your problems. Turn any type of data into insights that will improve your business.

Specialized Analytics Capabilities

Sygnology offers analytics services including:

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    Data Modeling
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    Descriptive Analysis
  • Pattern Identification
  • Statistical Analysis
  • Machine Learning
  • Data Mining
  • Deep Learning Algorithms
  • Survival Analysis