Understanding Data Management in Indian Higher Education

Data scattered across multiple Excel files owned by different offices

Same data entered differently by different offices — inconsistency

Faculty contribution data (publications, FDPs, patents) hard to collect and verify

Student outcome data (placements, higher studies) hard to track year on year

Last-minute panic before accreditation visit to collect missing data

Difficulty producing authentic supporting documents for each metric

Spending money on external consultants to help prepare the SSR / SAR

Partially prepared — significant effort needed

Not prepared — would need 3–6 months minimum

Not prepared — would need more than 6 months

Reduce time and effort spent on accreditation preparation

Improve NAAC / NBA scores through better data visibility

Eliminate dependence on external consultants

Create a single verified source of truth for all institutional data

Satisfy leadership demand for live dashboards

Resistance from staff to change existing processes

Lack of IT infrastructure at our institution

Distrust of software for accreditation — prefer manual control

Getting approvals from management / governing body