SafetyIQ is revolutionizing the way businesses approach safety. As a leading provider of comprehensive workplace safety software, we cater to four key areas: Mobile Worker Safety, EHS (Environment, Health, and Safety), Fatigue Management, and Training. Our platform is designed to safeguard your workers, no matter their location or task, ensuring all-around safety compliance.
Unlike most safety software providers that only react to incidents or implement proactive measures, SafetyIQ introduces a third pillar to safety management - predictive analytics. We transform the untapped wealth of safety data within your organization into actionable insights to inform safety strategies, mitigating risks even before they aris
Sign In App is a modern, enjoyable way to sign in visitors and staff, and book desks and meeting rooms.
Our visitor management system streamlines registration, check-in, and authorization processes, while our facility management tools streamline room booking, resource allocation, and asset management. We prioritize security with our advanced risk mitigation measures, including health and safety protocols, emergency messaging, and robust analytics for thorough auditing.
World's first open source data quality & data preparation project
..., Meta Data Discovery, Anomaly Discovery, Data Cleansing, Reporting and Analytic.
It also had Hadoop ( Big data ) support to move files to/from Hadoop Grid, Create, Load and Profile Hive Tables. This project is also known as "Aggregate Profiler"
Resful API for this project is getting built as (Beta Version) https://sourceforge.net/projects/restful-api-for-osdq/
apache spark based data quality is getting built at https://sourceforge.net/projects/apache-spark-osdq/
Data quality analysis, profiling, cleansing, duplicate detection +more
DataCleaner is a data quality analysis application and a solution platform for DQ solutions. It's core is a strong data profiling engine, which is extensible and thereby adds data cleansing, transformations, enrichment, deduplication, matching and merging.
Website: http://datacleaner.github.io