Quantitative Analysis
Organizations across the world – from local service providers to international corporations – have more information available to them now than ever before. Large volumes of data are being captured and stored – but not effectively analyzed in a way that improves decision-making. Turning data into insight can be a transformational process, but is still an elusive goal for many.
Matrix Knowledge Group has a twenty year international track record of enabling organizations to optimize their performance. We help our partners and clients by:
- assessing current performance against past performance, that of comparable organizations; and international best practices;
- diagnosing sources of weak performance and challenges; and
- forecasting and predicting future conditions;
We draw on the knowledge of our quantitative analysts and subject-matter experts to extract, and present data in a straightforward narrative that can identify problems and generate the commitment to solve them.
Among the services we offer are:
Policy and Program Evaluation
We have substantial experience across different sectors and countries of achieving the right combination of economic, qualitative and quantitative evaluations to inform decisions based on real-life time and money constraints. These approaches range from quick reviews to long-term evaluations of complex social and health policy interventions.
Economic Evaluation
Matrix brings extensive experience and a global perspective to the econometric measurement of outcomes and impacts in complex environments. We use the latest developments in economic theory and techniques. With networks across the public sector and universities, we facilitate the transfer of learning across policy areas, and between academia and the public and private sectors.
Business Analytics
Matrix helps decision-makers simplify the complicated world in which they operate to help them make better decisions. We use data to assess performance, diagnose problem areas, predict future conditions, and identify correlations between different parts of an operation.
Finally, we present data clearly, using a straightforward narrative to identify problems and generate the needed commitment to solve them.