Gain insight into your competitive advantage

Data from different internal and external sources can be refined to produce current-state (status quo) analyses, set goals and develop future-oriented information to aid decision making and monitor the impact of decisions. The cornerstone in analyses is the thorough understanding of data regarding its sources, collection process and content.

Benefit from multiple data sources

ESiOR is data source independent. We choose the data sources and data collection methods that best suit your needs.

The raw data may come from, for example:

  • the patient
  • the organization
  • the customer
  • an expert
  • genetics
  • clinical research
  • a global health economic model
  • an open source
  • literature.

Base your analyses on valid and reliable data

The material used for assessing competitive advantages, operational quality, effectiveness and efficiency needs to be reliably collected and combined to build up the evidence that provides useful insights for decision making.

ESiOR knows the benefits and challenges of the key data sources and research settings. With our help, you will be able to recognize the opportunities to identify and measure your competitive advantages and find ways of enhancing your operational performance or the value of your products.

Research and Real World Data (RWD) sources

Networking, advisor boards

Experimental designs

National and multinational registries

Patient registries


Service operators

Quality registries

Open data

Scientific literature databases

Grey literature, non-indexed literature

Congress abstracts, posters and presentations

Citizen’s own data, MyData

Customer’s data and models

Data collection and synthesis

Project management: Research plans, permits, registration

Clinical trials, pharmatrials

Prospective clinical trial

Retrospective clinical trial

Registry study

Process study

Pharmacy surveys (source Farenta Research Pharmacy Network, FarentaNet)

Own database

Structural monitoring database (partner e.g. StellarQ electronic health records)

Surveys, interviews

Follow-up study

Methods for data collection

Methods for data and evidence synthesis

Let’s analyse data to demonstrate your competitive advantages.