Data Analytics

The natural expansion of internet has created an increase in the global data production. The constant addition of millions of connected devices increases not only volume but also velocity.
The need to collect and analyse non-structured or semi-structured data, introduces new challenges in the management of data that surpass traditional methods. Big Data technologies are now seen as enablers to create or capture value from otherwise not fully exploited data. 
The challenge is to find a way to transform raw data into information that has value, either internally, or for making business out of it.
Our role in research projects is to coordinate and actively contribute to initiatives which harness the potential of Big Data. EXUS Innovation has long experience in data analytics (data fusion, decision making) applied in the finance, security and heath sectors.
Our vision is to transform research to successful market products.
Our approach includes the following important aspects:
  • privacy by design and federated access control in heterogeneous environments
  • dealing with different data quality: raw, processed, annotated, metadata
  • using and extending state-of-the art algorithms, tools and infrastructure designed to handle distributed processing and large volumes of data

Projects

EXUS brings together professionals of diverse research backgrounds, including experts in data management, machine learning, privacy and security, user interfaces, and visualization. In line with EXUS’ interests and capabilities our portfolio of data analytics research activities includes the following projects.

DATA BIO project. Internet of things (agriculture concept), smart farming. Farmer point hand to use computer technology for farm management.

DATA BIO

The data intensive target sector selected for the DataBio project is the Data-Driven Bioeconomy, focusing in production of best possible raw materials from agriculture, forestry and fishery/aquaculture for the bioeconomy industry to produce food, energy and biomaterials taking into account also various responsibility and sustainability issues.

GHOST

The data intensive target sector selected for the DataBio project is the Data-Driven Bioeconomy, focusing in production of best possible raw materials from agriculture, forestry and fishery/aquaculture for the bioeconomy industry to produce food, energy and biomaterials taking into account also various responsibility and sustainability issues.

Preparedness programme improving response in disasters and crises environments. Cloudy ocean horizon, boat speeding and tornado i nthe background.

IN-PREP

An integrated next generation preparedness programme for improving effective interorganisational response capacity in complex environments of disasters and causes of crises

LIVING MARKET

Living Market’s core offering is the visualisation of anonymised retail data analytics via an intuitive and easy to use user interface. LM can provide insights originating from raw data such as bank transaction information, transforming it into market relevant information suitable for a variety of users but primarily addressing retailers. 

KONFIDO

Secure and Trusted Paradigm for Interoperable eHealth Services

KONFIDO advances the state of the art of eHealth technology with respect to four key dimensions of digital security, namely: data preservation, data access and modification, data exchange, and interoperability and compliance. 

OPTIMAL

Optimisation of Discharge Mechanism for the Prevention of Unnecessary Readmissions OPTIMAL aims to optimise hospital patients’ follow up processes, especially during the first month after discharge, with a clear goal to reduce readmissions by 5% within the first year of its installation and improve the process by means of patient satisfaction. 

Get in Touch

Would you like to ask something about the projects we run? Are you interested in commonly exploiting our project results? We would like to hear from you!
Please contact us at:  innovation@exus.co.uk

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