Research

We apply the research pedagogy to make the business working with predictive analytics and modelling. Our wide array of research services includes

Monitoring and Evaluation

Establishing organisational and project specific monitoring systems, log frames, theory of change, organising M&E sensitisations with the stakeholders, participatory development of monitoring frameworks and system, backstopping implementation teams in using the system.

Risk and stakeholder sensitivity analysis

cContext and conflict sensitivity assessment of monitoring systems and upgradation of data and monitoring systems through updated tools.

Qualitative and quantitative analysis

We look in the process with 360 degree perspective, therefore, we capture both numerical, measureable data points as well as behavioural data

Technical knowledge and application

Conducting statistical multivariate assessments, predictive modelling using secondary databases, collecting and analysing primary databases through analogue and digital methods.

Wide range of analysis

Economic analyses, effectiveness studies, feasibly studies, landscape analyses, systematic reviews, process analyses and bottleneck, risk analyses, as well as gender and marginalised groups sensitivity assessments are a few study areas we specialise in.

Data Visualization

Building interpretable automated data visualisation tools helps the clients learn iteratively and continue in refining their programs with data driven insights. Developing online data analytics system and developing and developing data ready dashboards.

  • The scientific research model is a causal explanation of how variables interact to produce a phenomenon, usually lineally organized.
  • It is a simplified process map consisting of line of consequent and simultaneous processes to be measured, and perhaps controlled for study.
  • We uses it to create various hypotheses, which can be used to test in a study, or which can be used for explanatory purposes in a case study.
  • There has been a debate over the validity of casual, linear models in the social sciences and on human behaviour, but this model is generally straightforwardly accepted as an important methodological tool in the physical sciences.