Realtime Data for Adaptive Management: BRAMA Belarus
This resource provides an overview of complementary techniques used to scan and understand the environment in the BRAMA Belarus program. BRAMA employs a comprehensive “environmental scanning” methodology that is comprised of a set of analytical tools to glean real-time data from a variety of sources that influences project decision making.
These five elements create a backbone of the “Environmental Scanning” methodology. The “Environmental Scanning” system creates a synergy between different data gathering and analysis systems to provide on-going, real-time data for project-level decision making showing how global development challenges are addressed locally, on sectoral and thematic levels and vice versa how local solutions shape a more generic context and impact development agendas.
BRAMA also applies a two-level feedback collection model which represents a workable mechanism of collecting real-time data in a form of beneficiaries’ feedback and streamlining it into better managerial decisions, better design of more relevant strategies and modification of Pact operations in Belarus. By regularly collecting the opinions of people living in remote and rural areas (local communities) BRAMA constantly seeks local solutions to community development and global challenges.
The knowledge collected using the “Environmental Scan” methodology provides the framework for a holistic understanding of the political environment Pact works in including country context, sectoral trends, local specifics, development factors, key actors and their activity. This enables Pact to make evidenced-based, strategic decisions on how and when to support civil society in Belarus.