• Redesigning NRLM’S Data Systems and Architecture
  • NRLM’s data systems and architecture
NRLM Logo

Under a BMGF funded project, CDFI is supporting NRLM in redesigning, developing, piloting & scaling NRLM’s core data systems and architecture (LokOS). We are piloting digital ways to capture and represent data on SHG transactions & NRLM’s support activities is underway.

NRLM Model

Expected Impact

More than 60 lakhs SHGs covering over 6.66 crores SHG members

Problem Statement:

  • Manual ways of data collection
  • Delay in data capture and data processing
  • Heavy dependence on, and no incentive for data entry operators
  • Inaccurate picture on fund movement from NRLM to SHG members

Objective

Design and develop NRLM’s data architecture and systems to enable:

  • NRLM Data Capture

NRLM’s high level core architecture is designed keeping the below mentioned principles, incorporating:

  • SHG member at core of design
  • Minimal data entry
  • API based data collection and data disbursement
  • Federated data capture at lowest level

CDFI is working closely with NRLM team along with inputs from technical, financial & livelihood experts and, various teams from BMGF.

  • CDFI Team

LokOS profile pilot workshop for NRLM’s district officials, block officials & CRPs conducted by CDFI on 22-23rd March 2022 in New Delhi