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Automated Programme Data Table Generation and Data Analysis Solution Design and Implementation

Overview


Data Analytics, AI & Cloud Hosting
Maharashtra, IndiaPosted 4 days agoDeadline: May 15th, 2026

Fit Score


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SUMMARY


RFP for a comprehensive solution to automate programme report generation, implement data analysis tools, and enhance data quality for health-related datasets in Maharashtra, India.

KEY REQUIREMENTS


BUDGET

Estimate

$50,000 – $150,000

CONTRACT DURATION


4 months

TIMELINE


Date of Issue: May 4th, 2026

Date for asking queries: May 8th, 2026

Due Date for Proposals: May 15th, 2026

Date of Issue of Purchase Order: May 25th, 2026

Duration of the assignment: May 25th, 2026 to September 25th, 2026

QUESTION DEADLINE


May 8th, 2026

Issuing Agency


Fhi 360

Organization overview and procurement intelligence available on paid plans.

DESCRIPTION


The government seeks a vendor to design and implement an automated programme data table generation and data analysis solution. The project involves developing a digital solution that can automatically generate State Sankalak reports by integrating multiple program datasets, as well as creating District HIV Epidemic Profiling (DEP) dashboards using output reports.

The vendor is expected to build advanced analytics and visualization tools for monitoring district-specific MAS progress and establish a secure data processing environment, such as a virtual machine, to handle large-scale analysis with deduplication capabilities including fuzzy matching techniques. Responsibilities include designing and implementing deduplication algorithms across interstate datasets, using advanced fuzzy logic for matching, assessing the completeness and consistency of datasets, and standardizing data formats. The solution should automate and manually facilitate deduplication, manage missing data through imputation or exclusion strategies, detect and investigate outliers using statistical and visualization methods, and implement comprehensive validation checks for data accuracy.

Source attribution

This Settle analysis is based on the issuing organization’s public RFP listing.

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