Ontonix Offers Data Quality Assessment Service

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Como, 3-rd December, 2023. Ontonix, a technology company delivering Quantitative Complexity Management (QCM) and Artificial Intuition technology for early warnings and anomaly detection, launches a new Data Quality Assessment Service.

“Nowadays, many companies rely on a data-driven business model. The value of data cannot be overstated. However, in the majority of cases, data quality is low, presenting gaps, unjustified discontinuities, off the scale readings, overlaps or lack of synchronisation”, said Dr. J. Marczyk, the founder and CEO of Ontonix. “This is particularly true when data is collected from mobile or portable devices with sensors that sometimes malfunction, or are mounted improperly, or are badly calibrated. In other cases, due to memory limitations, averages over long periods are stored, killing precious information and warping the information contained in the original data”, he added.

“Such practice, which reflects the lack of a proper ‘data culture’, makes it difficult to extract useful information, or to provide meaningful anomaly early-warning signals. Low quality data is a nightmare to work with and it also reflects the quality of the processes that generate it. It can be penalizing for us to work with such data as it forces us to perform work which the customer should have done before delivering his data to us. Because of this, we have decided to offer a Data Quality Assessment Service to anyone who works with a lot of data, even to those who are not interested in early warnings, resilience, or complexity management.”, he concluded.

Data quality assessment is an integral part of every project that Ontonix performs. As of the date of the present Press Release, quality assessment of customer’s data will be offered as a specific service, providing measures of data conditioning, degree of disorder (chaoticity) and overall quality, as well as a ranking of key variables and sources of fragility of the entire data set. Data quality impacts directly the risk one faces when making decisions based on the said data.

As of the date of the present Press Release, in order to engage Ontonix it will be necessary to guarantee a sufficiently high level of data quality.

For information on Ontonix, visit www.ontonix.com/

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Dr. Jacek Marczyk

Visionary, ex rocket scientist, businessman and writer with over 35 years of experience in QUANTITATIVE large-scale Uncertainty and Complexity Management in diverse fields (manufacturing, finance, economics).

Author of ten books on simulation, uncertainty and complexity management, rating.

Developed in mid 90s the theory of eigenvalue orbits, a generalization of the concept of eigenvalue.

In 2000-2005 has developed the first Quantitative Complexity Theory (QCT), including a comprehensive measure of complexity.

Founded Ontonix Complexity Management in 2005 in the USA and launched in 2006 the first commercial system for MEASURING and managing complexity: OntoSpace.

www.ontonix.com

In 2009 developed real-time technology to measure the complexity and stability of patients during operation or permanence in Intensive Care Units.

http://www.ontomed.net

Developed a new theory of risk and rating published in 2009 in a book entitled "A New Theory of Risk and Rating".

Over last decade develops quantitative complexity management (QCM) technology and solutions for applications in economics, finance, Risk Rating and Management as well as in Asset Management and medicine. In the past five years works towards the democratization of ratings.