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Master Data Map Logo

Cloud-based accreditation software for Indian universities

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Master Data Map - 2026 Pricing, Features, Reviews & Alternatives

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Last updated: October 2026

Master Data Map overview

What is Master Data Map?

Master Data Map is a cloud-based, web-based accreditation and ranking software platform built for Indian higher education institutions, including universities, engineering colleges, arts and science colleges, medical colleges, dental colleges, and law colleges. The platform maintains one institutional record from which NAAC SSR and AQAR, NBA SAR, NIRF data, and THE and QS rankings submissions are generated, covering the full compliance lifecycle across multiple regulatory frameworks from a single data entry point. Annual subscription pricing is scoped per institution by frameworks activated, number of departments and programmes, and depth of advisory support.

The platform consolidates accreditation workflows through a NAAC readiness dashboard with per-metric status indicators (Yes, Borderline, No, Missing data), a 7-criteria evidence vault with DVV-tagged evidence, AQAR automation, and AQAR-to-SSR consolidation. DCF 2025 alignment is built in across faculty, student, infrastructure, and financial data modules. Cross-framework consistency checks flag instances where the same fact would be reported differently across NIRF, THE, and QS submissions. An OBE module handles CO-PO attainment calculation (direct and indirect), AI-suggested CO-PO-PSO mapping based on Bloom's Taxonomy and programme benchmarks, and SAR Annexure 3.1-ready PO-PSO matrix exports. Research output tracking includes quality flags and NIRF retraction risk monitoring. Submission packages are generated as Word reports and Excel annexures, and mock peer interaction preparation is supported through a Q&A bank, presentation templates, and best-practice case studies.

AI capabilities include AI-assisted SSR drafting, AI-driven benchmarking of institutional data against peer groups and national averages, AI-powered NIRF benchmarking, and AI validation for cross-verification of institutional data against government databases including AISHE and UGC via the One Nation One Data Platform. MBGL Level evidence requirement tracking covers Levels 1 through 5. One Nation One Data Platform cross-validation is included to support data integrity across government-linked submissions.

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Master Data Map's key features

Most critical features, based on insights from Master Data Map users:

Data modeling
Data quality control
Digital asset management

All Master Data Map features

Data modeling
Data quality control
Digital asset management

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Master Data Map support options

Typical customers

Freelancers
Small businesses
Mid size businesses
Large enterprises

Platforms supported

Web
Android
iPhone/iPad

Support options

Email/Help Desk
FAQs/Forum
Knowledge Base
Phone Support
24/7 (Live rep)
Chat

Master Data Map FAQs

Q. Who are the typical users of Master Data Map?

Master Data Map has the following typical customers:
Freelancers, Small Business, Mid-size Business, Large Enterprises

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Q. What level of support does Master Data Map offer?

Master Data Map offers the following support options:
Email/Help Desk, FAQs/Forum, Knowledge Base, Phone Support, 24/7 (Live rep), Chat

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