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“No man is an island,

Entire of itself,

Every man is a piece of the continent,

A part of the main”

John Donne, Meditation XVII

Similarly no event, data set, or behaviour can be seen to be distinct. Whilst understanding what is happening or has happened can be extremely powerful to a business or organisation – seeing that event, or data,  in relation to other variables will prove to be even more powerful.

We have extensive experience of combining, analysing & representing data-sets for clients in order to provide them with greater understanding.  Whether this is to enrich the original data to provide context, or analysing the potential drivers for behaviour/events and thus informing forecasts or models, data blending can provide you with greater understanding and thus help you form effective strategies.

To this end we have collected, cleaned and categorised multiple data-sets – making it easy for them to be combined with your data, and thus help inform you about key strategic concerns. Moreover if you need us to source any other data on your behalf we can offer this as a service.

Examples of data sets we have:

      • England NHS Prescribing data
        • every product prescribed by GPs since 2010, including details such as cost (before & after discounts etc), GP practice addresses (geocoded), allocation to PCTs (pre-April 2013) or CCGs
        • with ability to aggregate, or to drill down to individual packaging & formulation details
        • presented on monthly basis
        • with therapy area & BNF classification
        • identification of Pharmaceutical company vendors (either direct or under license)
      • CCG Outcome indicators
        • for GP Practices: over 350 data-sets covering the areas:-
          • Cancer Screening,
          • Demography
          • Impact on NHS resources
          • Infrastructure
          • Patient experience
          • Quality Outcomes
          • Standardised Mortality Rate
        • for CCGs:

1.1 Potential Years of Life Lost (PYLL) from causes considered amenable to healthcare

1.2 Under 75 mortality rates from cardiovascular disease.

1.6 Under 75 mortality rates from respiratory disease.

1.7 Under 75 mortality rates from liver disease.

1.8 Emergency admissions for alcohol related liver disease

1.9 Under 75 mortality rates from cancer.

2.6 Unplanned hospitalisation for chronic ambulatory care sensitive conditions (adults).

2.7 Unplanned hospitalisation for asthma, diabetes and epilepsy in under 19s.

3.1 Emergency admissions for acute conditions that should not usually require hospital admission

3.2 Emergency readmissions within 30 days of discharge from hospital.

3.3 Patient reported outcomes measures (PROMS) for elective procedures

3.4 Emergency admissions for children with lower respiratory tract infections

4.1 Patient experience of GP out-of-hours services

Please contact us for full details

Other data-sets: 2011 Census data (all topics mapped to wards), Index of Multiple Deprivation (mapped to LSOAs, Disticts, Counties, and GP Practices) – plus others to be added soon. Please contact us for more information, or to make a request.

Uses of data blending:

    • market access strategies
    • market sizing & penetration analysis
    • opportunity identification
    • sales force effectiveness deployment
    • supply chain optimisation
    • data validation
    • forecasting
    • pricing analysis
    • competitor intelligence