Iris Data Science Information

Iris Data Science is a company providing services in statistics and machine learning, big data and information technologies to help businesses become more efficient, enable better decision making and solve particular challenges using their data. We achieve this by offering to our clients predictive analytics solutions (prediction, forecasting and optimisation), data visualisation and insights (report generation, graphs and dashboards) and decision support tools (decision models, change detection, early warning systems, hypothesis testing) underpinned by the IT infrastructure and software necessary to deploy these solutions (databases and data management, networking and data transfer, GIS, web visualisation). We have a strong agricultural background. Currently we are also focusing on health data and models and on environmental technologies, data and early warning systems. Iris Data Science is currently a team of six, with use of experts through contracting and students. Data Science can help businesses improve their bottom line by helping solve their particular challenges and enabling better decision making. For instance, businesses can benefit from extracting more value from their data to: - Improve the understanding and characterisation of their business processes to identify efficiency gains, - Profile customers and monitor customer changes over time, - Identify the most valuable market segments to target, - Provide their clients with added services developed using models leveraging data aggregated over multiple clients, - Use predictive analytics for forecasting or real-time alerts… We have experience with the following sectors: - Agriculture - Education - Environment - Health - Genetics - Geology and Geophysics - Government – central and local - ICT – various - Sports - Tourism - Traceability and food safety - Urban – planning management - Various Technologies – Internet of Things (IOT) At Iris Data, we focus on: - Artificial Intelligence - Big Data - Decision Sciences - Internet of Things (IoT) - Machine Learning - Predictive Analytics - Visualisations As well as: - Business Intelligence - Geographic Information Systems (GIS) - Statistics - SharePoint - Software and Database development - SQL – relational databases - No SQL – non-relational data - APIs