Success story

Data quality system for anomaly detection in healthcare survey studies

This case study details the development and implementation of a quantitative analysis and statistical anomaly detection system for a research organization, aimed at improving data quality and reliability.

01. Problem

Our client needed a robust solution to ensure the quality of data collected during their research studies, especially those involving surveys conducted by non-specialist interviewers. Human error and potential interviewer bias could compromise the integrity of the data. To address this, it was essential to implement a quantitative analysis and statistical anomaly detection methodology to identify and mitigate data quality issues.

02. Solution

We developed an additional component to the client’s existing survey system that aggregated and analyzed the collected data to detect anomalies. We seamlessly integrated it into their infrastructure and used open-source big data solutions to perform statistical analysis and generate detailed reports. These reports were then presented to the research teams, allowing them to quickly identify and correct data anomalies.

03. Results

Implementing this solution significantly improved data quality standards within the research organization. By ensuring more reliable and accurate data, the organization was able to produce more credible and impactful research.

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Arkadiusz Drysch | CTO

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Andrew Kennedy

Founder & Managing Director, Tier 2 Consulting

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Tech PM, Digital Agency

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Adam Hill

Chief Technology Officer, Legerity

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Circular Fashion Company

They provided superb service with seamless communication and a highly professional, technical approach. The team displays impressive technical expertise and are willing to share information and engage in constructive feedback.

Filip Stachnik

Operations Manager, Otwarte Klatki (part of Anima International)

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Arnd Jan Prause

Chief Operating Officer, musQueteer

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Lars Andersen

Founder & CEO, My Nametags

Travel sector rebound after the pandemic is complete. We have fantastic global coverage of travel data distribution due to mutual agreements and data exchange between aggregators. Competition for the best price of limited resources degradates margins.

How to win? Provide personalized experience and build your own products in the front-office. The missing bits: a traveller golden record collecting past activities and a AI/ML recommendation technology.

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CEO at Stratoflow