We generate leading insights from our analyses to support our clients in their strategic decision-making.
We have a broad range of econometric and data analytics expertise that we use to help our clients answer important research and policy questions. We generate leading insights from our analyses to support government policy makers, regulatory bodies, international organizations, pharma and insurance companies and other private companies in their strategic decisions. We support National Health Information System (HIS) and e-tools assessments and provide recommendations for better integration, comparability and overall effectiveness of the systems using robust HIS assessment methodology. Our key principles are to processes in transparent, adaptable and robust using cutting-edge deterministic, stochastic and probabilistic modelling econometrics techniques, machine learning and data fusion. We identify signals, simulate discrete events and make projections of likely future scenarios to assess impact, marginal effects and elasticity, attribution and contribution, optimize investments and outcomes and make cost-effective decisions. For over 20 years, we have been working with clients on a wide range of economic, health including pharma-economic and environmental issues, using our quantitative approach to data analysis and economic modelling to provide valuable evidence-based insights
We have broad expertise through global network of our staff, consultants, institutes and universities.
We are focusing our work on:
· Econometric regression and choice modeling
· Markov model and Discrete Event Simulation (DES)
· Machine Learning modeling
· Sensitivity analysis and quantitative risk assessment
· Health Information System (HTA), Routine HIS (RHIS) Assessments