Map the five NIRF parameters — TLR, RP, GO, OI and perception — to the data your ERP already holds. Faculty-student ratios, placement and PhD figures pulled from live records, with proof on every entry. It keeps the inputs ready; the rank is NIRF's call.
NIRF ranking data management software compiles the data an institution submits to the National Institutional Ranking Framework. It maps the five NIRF parameter groups — TLR, RP, GO, OI and perception — to the fields your ERP already holds, pulls figures like faculty-student ratios, placement and PhD data from live records, attaches proof to each entry, and exports the submission set in the structure the NIRF portal expects.
One thing it deliberately does not do: predict your rank. It keeps the inputs current and evidence-backed — the rank is computed by NIRF. NAAC is a separate framework; for AQAR, SSR and DVV, see CampusAlly Accreditation.
This is the process solution for NIRF — it owns the ranking-submission data set. NAAC is a separate framework, and the source modules each feed it from their own home, so nothing is duplicated:
The same flow every NIRF submission follows — map it once, then each cycle pulls from live records instead of a fresh manual rebuild.
Set up the five NIRF parameter groups — TLR, RP, GO, OI and perception — against the fields your ERP already holds.
Faculty-student ratios, finances, placement, higher-studies and PhD data pulled from live records, not re-keyed.
Each data point carries its supporting document, so the submission is evidence-backed if NIRF seeks verification.
Compare each parameter to your previous submission to catch gaps and data-quality issues before the window opens.
Generate the parameter-wise data in the structure the NIRF portal expects — inputs kept current; the rank is NIRF's call.
The five groups NIRF scores on — each tied to the live ERP records that already hold the figures.
Enrolment, faculty-student ratio, qualified-faculty share and financial resources, pulled from HR, enrolment and finance records.
Publications, citations, patents and funded projects, drawn from the research records that feed this parameter.
Placement, higher studies, pass percentage and median salary, from the placement and academic modules.
Regional and gender diversity, economically and socially challenged students, and facilities for differently-abled learners.
The peer and employer perception inputs collated and kept ready alongside the quantitative parameters for the submission.
Each entry carries its supporting document, and the full set exports in the structure the NIRF portal expects.
Parameters are mapped once and pulled from live records, so each cycle starts from current data instead of a fresh manual rebuild.
Each data point carries its supporting document, so the submission stands up if NIRF seeks verification.
Past submissions are retained, so you can see where each parameter moved and review changes before the next window.
It keeps the inputs current; it never predicts your rank. The ranking is computed by NIRF, as it should be.
| What you need | Spreadsheets / manual compilation | CampusAlly NIRF data |
|---|---|---|
| Parameter mapping | Rebuilt by hand each submission cycle | Mapped once to your ERP fields, reused each cycle |
| Data source | Re-keyed from many departments' files | Pulled from live records, no double entry |
| Proof of figures | Documents hunted at the last minute | Proof attached to each entry as it is recorded |
| Year-on-year view | Old files archived, hard to compare | Past submissions retained for direct comparison |
| Portal export | Re-formatted manually to the portal layout | Exported in the structure the NIRF portal expects |
| Rank | Tools that over-promise to "predict your rank" | Honest: inputs kept current, rank computed by NIRF |
Your records stay on infrastructure within India.
Each office sees only what its role needs to.
Built in line with India's Digital Personal Data Protection Act.
Your institutional data is yours; it is never sold on.
It's software that compiles the data an institution submits to the National Institutional Ranking Framework (NIRF). It maps the five NIRF parameter groups — TLR, RP, GO, OI and perception — to the fields your ERP already holds, pulls figures like faculty-student ratios, placement and PhD data from live records, attaches proof to each entry, and exports the submission set in the structure the NIRF portal expects.
No. CampusAlly keeps your NIRF inputs current and evidence-backed; it does not predict your NIRF score or rank. The ranking is computed and awarded by NIRF using its own methodology and weights. Any tool that claims to forecast a rank is overstating what software can do — the value here is accurate, ready, proof-backed data, not a prediction.
All five parameter groups NIRF uses: Teaching, Learning & Resources (TLR); Research & Professional practice (RP); Graduation Outcomes (GO); Outreach & Inclusivity (OI); and Perception. Each is mapped to the underlying ERP data — enrolment, faculty, finances, results, placement, higher studies, PhD output and diversity — so the figures come from your records rather than a parallel sheet.
From your live CampusAlly records. Faculty-student ratios come from HR and enrolment data, placement and higher-studies figures from the placement and academic modules, and research output from the research records — so the NIRF data set reflects what is actually in the system, with proof attached, instead of being re-entered by hand.
This page owns the NIRF submission specifically. NAAC accreditation — AQAR, SSR and DVV documentation — is a separate framework, handled by the CampusAlly Accreditation feature, which this page links to. The two share underlying data but produce different submissions, so each has its own home rather than being conflated.
Yes. NIRF ranks across categories such as Overall, University, Engineering, Management, Pharmacy, Law and more, and the parameter structure is configured to the category you submit under. The data sources are the same live records; the parameter weights and category are set to match your submission.
Your data is India-hosted, access-controlled by role, backed up, and aligned with the DPDP Act — and it is never sold. No system can promise data is impossible to misuse, so CampusAlly focuses on the controls that genuinely reduce risk rather than absolute guarantees.
Yes. Past submissions are retained so you can compare each parameter year on year, spot where data has moved, and review changes before the next portal window — useful for both internal planning and consistency across cycles.
Yes. CampusAlly uses a multi-tenant architecture, so a group submitting NIRF data for more than one institution can manage each one's parameters and proof with its own data while getting a consolidated view across the group.
See your parameters mapped, pulled from records and proof-backed in a 30-minute walkthrough.
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