With a focus on Enabling decisions based on factual data, dataworx organically commenced operations to empower authenticating and enhancing outcomes, enabling accountability, while facilitating tangible, efficient and rapid knowledge transfer. The impact evaluation division of dataworx, was founded by a group of development professionals having a diverse set of skills ranging from Research, Evaluations, Analytics, Communication, Documentation, Training and Implementation in the sector, in addition to the core IT and design. It seeks to unearth and provide evidence of what works and what does not, for whom, and why.

We start with understanding the issue that needs addressing, and identifying the difference that needs to be made, as important first steps for impact measurement and evaluation. Towards this, dataworx works with agencies involved with development programs in establishing whether or not there is a causal link between an intervention and the key outcome indicators that are of importance to the policymaker and to make mid-course corrections and scale up successful policy instruments to achieve policy outcomes. While incorporating an impact evaluation into a development program we focus on a well-structured monitoring and evaluation plan, also involving identifying and categorising the information to collect about the work and the difference it makes. Developing a monitoring and evaluation framework will help us decide what to measure.

dataworx plans and manages broadly by

• Defining evaluated variables and generating the evaluation brief
• Identifying, mobilizing and classifying resources to determine the evaluators and engaging them
• Determining and managing the process of evaluation methodology development
• Managing development and implementation of the evaluation work plan including development of reports
• Report dissemination and supporting use

dataworx works with

• Industry leading subject matter experts, to provide advisory assistance for tactical actions, analyse data and create tangible action points
• Experienced field data collectors and managers to collect and create clean and concrete data. Coupled with customized templates, guidelines, tools, and near real-time data quality monitoring procedures, we safeguard the data integrity and other quality standards.
• Multi-mode advanced data collection methodologies such as mobile and electronic data collection