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About US

intelligent business today

Founded in 2006 as Genisys Consulting, the Centre for Business Intelligence & Analytics (C-BIA) specialises in improving business decision-making and agility through intelligent applications and the smart use of data, both on premise and cloud. We partner with clients to design, build and maintain intelligent applications, Business Intelligence (BI) and Data Analytics applications in the Healthcare, Education, Research and other sectors. Clients include Wellcome, the NHS, University of Oxford/Saïd Business School. We have an exclusive off-shore partnership with the Center for Business Intelligence & Analytics in Pune & Mumbai, India. Together we have completed more than 50 projects since 2010.

  • Fixed Price

    Our rigorous requirement and management disciplines mean we can often offer fixed price projects.

  • End to END

    We help with Strategy, Management & Technology, filling gaps in technology capabilities, reducing costs and accelerating technology adoption and business benefits.


    We provide the scarce talent you need from across our partner network and provide core and extended support capabilities to keep your systems functioning and users satisfied.


    A full range of Microsoft Azure cloud and on premise development skills and tools, including our own advanced data analytics platform.

our services

We help clients identify and extract business value from their data assets
data assets

We help clients get business value from their transactional data assets. We use our DATASPRINT™ workshops to help them launch a pilot data initiative or develop a comprehensive roadmap to becoming a data-driven organisation. We also help to develop the data Governance & Management processes to ensure security & privacy and we support the use of tools such as Alteryx to make data accessible to all users.

Intelligent Applications

We use Microsoft Azure .Net and SQL Server, Oracle and Open Source to build cost-effective and intelligent applications, automate everything and improve decision-making. We employ agile and collaborative development approaches to help users engage and deliver what they need. We can often do this for a fixed price and as an outsourced service.

Business Intelligence

We develop data-rich visual business intelligence applications using Microsoft and Open Source technologies for healthcare, education, retail and other sectors. These applications help inform and ease the decision load and drive better outcomes for clients, their users, customers or patients. Tools include Power BI and Tableau amongst others.

advanced data analytics

We help clients identify value and develop actionable insights from their data and adopt AI. We free them from low value data engineering and integration tasks and their reliance on scarce and expensive expertise. We provide AWS, Python, Microsoft Share Point, Azure ML, SAS, MySQL, Pentaho and R resources. We have developed our own ‘Analytics-as-a-Service’ (AaaS) platform and implement it in clients in partnership with domain experts, lowering the entry-point for advanced analytics for our client’s.

Data, AI & Knowledge Graphs

Innovative Proof of Concepts and Prototypes from C-BIA!
  • Enola™ Rare Disease Investigator

    Enola RDI Image

    Enola is a symptom checker for undiagnosed rare disease patients and their clinicians. It uses real-world evidence to create a prioritised differential diagnosis (DDx) based on the symptoms and findings of the patient. This helps to narrow-down and prioritise further investigation and testing and ensures statistically significant rare diseases are considered. Combined with real-world patient data and evidence, it has the potential to dramatically reduce the diagnostic odyssey faced by patients with an undiagnosed rare disease, currently between 5 and 7 years.

    Take a look at Enola but please remember this is only a demonstration of technical feasability (Proof of Concept) and not a medical device. It is not a sympton checker and it does not include common diseases. It should not be used as a substitute for medical advice from a physician.

    Undiagnosed and rare diseases are a huge challenge for healthcare systems and patients. For more on the scale of the problem, initiatives to improve diagnosis and treatments and training opportunities see:

    1. Rare X – a collaborative platform for global data sharing and analysis to accelerate treatments for rare disease.
    2. UDNF aims to foster collaboration among patients, clinicians, and scientists to enhance the quality of life of undiagnosed and ultra-rare disease patients.
    3. EURODIS Open Academy aims to provide training that empowers not only its member organisations and volunteers, but anyone interested in learning more about the rare disease landscape.
    4. England Rare Disease action Plan – In this first England Rare Diseases Action Plan, we report on progress made, and take a significant step forward in transforming the collective priorities of the UK Rare Diseases Framework into tangible and concrete action.
    5. Orphanet maintains the Orphanet nomenclature of rare diseases, essential in improving the visibility of rare diseases in health and research information systems: each disease in Orphanet is attributed a unique and stable identifier, the ORPHAcode.
    Enola RDI Image
    Enola™ Rare Disease Investigator
    Artificial Intelligence Graph Technologies
  • GOSH PANDA: Safe Nursing Care for Children


    Why PANDA?

    PANDA (Paediatric Acuity & Nursing Dependency Assessment) enables nursing management to estimate safe nursing care for children on their wards. This is a critical challenge at all times but especially so when there are widespread nursing shortages.

    PANDA was designed to meet the nursing care needs of acute paediatric patients. Most other similar tools for children are adapted from safe care tools designed for adults. Its use ensures compliance with safe care guidance for each shift, identifying resources, skills and gaps that may compromise patient care.The system was developed in partnership with Great Ormond Street Children’s Hospital (GOSH).

    It is currently in use in 3 NHS England Trusts serving approx. 500+ beds.

    PANDA Features

    PANDA uses an industry-approved safe nursing care model. It generates staffing recommendations for each ward based on the needs of its patients. It calculates the right number and skill-set of nurses per ward shift based on the needs of each patient.

    In addition, it collates data on the UK Paediatric Critical Care Minimum Data Set (PCCMDS) to allow accurate charging of high dependency care.

    And because it highlights the gap between resource availability and needs, it can also provide useful input to staff training planning.

    How PANDA supports safe nursing care

    PANDA calculates safe staffing levels by assessing patients against 84 ‘care categories’ to determine patient acuity levels. These care categories are derived from guidance from the Department of Health and the PCCMDS.

    PANDA then identifies the appropriate ‘nursing dependency’ needs for each child based on guidance from the Royal College of Nursing.

    Benefits for NHS Trusts

    PANDA has demonstrably improved resource-sharing across wards, highlighted nursing shortages and demonstrated compliance with safe care guidelines.

    It has also generated over £10m in additional Clinical Commissioning Group (CCG) funding for one trust as it provides the evidence required to secure funding.

    And most importantly, it has improved the confidence of nursing staff that they are meeting the nursing needs of high dependency patients in their care.

    What Next? PANDAi!

    But PANDA has been around for a while and needs a new look and feel to work on mobiles and tablets, and to take advantage of new technology such as artificial intelligence (AI).

    PANDAi is scheduled for release in the second quarter 2022. Take a look at PANDAi: a new look for PANDA to find out more.

    Want to know more?

    See GOSH PANDA for additional details on the GOSH site or contact us at

    GOSH PANDA: Safe Nursing Care for Children
    Artificial Intelligence Data Analytics Healthcare
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