"Technology Leadership and Engineering Excellence for Nation-Scale Platforms"
"Technology Leadership and Engineering Excellence for Nation-Scale Platforms"
"Technology Leadership and Engineering Excellence for Nation-Scale Platforms"
"Technology Leadership and Engineering Excellence for Nation-Scale Platforms"
Data Platforms, Dashboards & Analytics
Data Platforms, Dashboards & Analytics
Data Platforms, Dashboards & Analytics
Data Platforms, Dashboards & Analytics
Programs serving communities at scale generate massive amounts of data from more sources than ever-field applications, beneficiary registries, service delivery systems, IoT sensors, administrative records. The challenge isn't collection, it's transformation: turning fragmented data into decisions that improve lives.
Programs serving communities at scale generate massive amounts of data from more sources than ever-field applications, beneficiary registries, service delivery systems, IoT sensors, administrative records. The challenge isn't collection, it's transformation: turning fragmented data into decisions that improve lives.
Programs serving communities at scale generate massive amounts of data from more sources than ever-field applications, beneficiary registries, service delivery systems, IoT sensors, administrative records. The challenge isn't collection, it's transformation: turning fragmented data into decisions that improve lives.
Programs serving communities at scale generate massive amounts of data from more sources than ever-field applications, beneficiary registries, service delivery systems, IoT sensors, administrative records. The challenge isn't collection, it's transformation: turning fragmented data into decisions that improve lives.
BeeHyv builds the data infrastructure that makes this possible. We design end-to-end platforms-from ingestion pipelines to real-time dashboards-that power evidence-based decision-making at state and national scale. Our solutions enable programs that reach millions of people, from COVID-19 response coordination to national telemedicine systems.
BeeHyv builds the data infrastructure that makes this possible. We design end-to-end platforms-from ingestion pipelines to real-time dashboards-that power evidence-based decision-making at state and national scale. Our solutions enable programs that reach millions of people, from COVID-19 response coordination to national telemedicine systems.
BeeHyv builds the data infrastructure that makes this possible. We design end-to-end platforms-from ingestion pipelines to real-time dashboards-that power evidence-based decision-making at state and national scale. Our solutions enable programs that reach millions of people, from COVID-19 response coordination to national telemedicine systems.
BeeHyv builds the data infrastructure that makes this possible. We design end-to-end platforms-from ingestion pipelines to real-time dashboards-that power evidence-based decision-making at state and national scale. Our solutions enable programs that reach millions of people, from COVID-19 response coordination to national telemedicine systems.
While individual systems may function well, the real bottleneck emerges when trying to bring this data together-consolidated reports take weeks, cross-system analysis requires manual effort, and insights spanning multiple sources remain difficult to access. We build the connective layer that changes this: platforms that unify data from diverse sources, process it automatically, and present it to decision-makers in real-time.
While individual systems may function well, the real bottleneck emerges when trying to bring this data together-consolidated reports take weeks, cross-system analysis requires manual effort, and insights spanning multiple sources remain difficult to access. We build the connective layer that changes this: platforms that unify data from diverse sources, process it automatically, and present it to decision-makers in real-time.
While individual systems may function well, the real bottleneck emerges when trying to bring this data together-consolidated reports take weeks, cross-system analysis requires manual effort, and insights spanning multiple sources remain difficult to access. We build the connective layer that changes this: platforms that unify data from diverse sources, process it automatically, and present it to decision-makers in real-time.
While individual systems may function well, the real bottleneck emerges when trying to bring this data together-consolidated reports take weeks, cross-system analysis requires manual effort, and insights spanning multiple sources remain difficult to access. We build the connective layer that changes this: platforms that unify data from diverse sources, process it automatically, and present it to decision-makers in real-time.
Our Approach to Data, Analytics & Dashboards
Our Approach to Data, Analytics & Dashboards
Our Approach to Data, Analytics & Dashboards
Our Approach to Data, Analytics & Dashboards
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Data Engineering
Data Engineering
Data Engineering
We build automated pipelines that ingest, clean, and consolidate data from diverse sources, transforming messy inputs into analytics-ready datasets:
We build automated pipelines that ingest, clean, and consolidate data from diverse sources, transforming messy inputs into analytics-ready datasets:
We build automated pipelines that ingest, clean, and consolidate data from diverse sources, transforming messy inputs into analytics-ready datasets:
Multi-source integration: Mobile apps, APIs, IoT devices, legacy databases, and government registries feeding into unified pipelines
Multi-source integration: Mobile apps, APIs, IoT devices, legacy databases, and government registries feeding into unified pipelines
Multi-source integration: Mobile apps, APIs, IoT devices, legacy databases, and government registries feeding into unified pipelines
Real-time and batch processing: Handling both immediate operational data and large-scale historical processing using distributed engines like Apache Spark
Real-time and batch processing: Handling both immediate operational data and large-scale historical processing using distributed engines like Apache Spark
Real-time and batch processing: Handling both immediate operational data and large-scale historical processing using distributed engines like Apache Spark
AI-enabled processing of unstructured data: Extracting structured information from PDFs, scanned forms, audio recordings, and free-text responses through document processing, entity extraction, and semantic enrichment
AI-enabled processing of unstructured data: Extracting structured information from PDFs, scanned forms, audio recordings, and free-text responses through document processing, entity extraction, and semantic enrichment
AI-enabled processing of unstructured data: Extracting structured information from PDFs, scanned forms, audio recordings, and free-text responses through document processing, entity extraction, and semantic enrichment
Data quality assurance: Automated validation, reconciliation, and quality checks ensuring high-integrity data for decision-making
Data quality assurance: Automated validation, reconciliation, and quality checks ensuring high-integrity data for decision-making
Data quality assurance: Automated validation, reconciliation, and quality checks ensuring high-integrity data for decision-making
Analytics-ready outputs: Columnar storage formats (Parquet, Apache Iceberg) optimized for fast querying and analysis
Analytics-ready outputs: Columnar storage formats (Parquet, Apache Iceberg) optimized for fast querying and analysis
Analytics-ready outputs: Columnar storage formats (Parquet, Apache Iceberg) optimized for fast querying and analysis
Result: Program data flows automatically from collection points to decision-makers, with validation and processing happening in the background.
Result: Program data flows automatically from collection points to decision-makers, with validation and processing happening in the background.
Result: Program data flows automatically from collection points to decision-makers, with validation and processing happening in the background.
Representative Tools: Apache NiFi, Airflow, Spark, Python-based ETL
Representative Tools: Apache NiFi, Airflow, Spark, Python-based ETL
Representative Tools: Apache NiFi, Airflow, Spark, Python-based ETL
01
Data Engineering
Real-time and batch processing: Handling both immediate operational data and large-scale historical processing using distributed engines like Apache Spark
AI-enabled processing of unstructured data: Extracting structured information from PDFs, scanned forms, audio recordings, and free-text responses through document processing, entity extraction, and semantic enrichment
Data quality assurance: Automated validation, reconciliation, and quality checks ensuring high-integrity data for decision-making
Analytics-ready outputs: Columnar storage formats (Parquet, Apache Iceberg) optimized for fast querying and analysis
Multi-source integration: Mobile apps, APIs, IoT devices, legacy databases, and government registries feeding into unified pipelines
Result: Program data flows automatically from collection points to decision-makers, with validation and processing happening in the background.
We build automated pipelines that ingest, clean, and consolidate data from diverse sources, transforming messy inputs into analytics-ready datasets:
Representative Tools: Apache NiFi, Airflow, Spark, Python-based ETL
02
Data Infrastructure & Governance
Unified lakehouse architectures: Combining data lake flexibility with data warehouse performance, supporting both operational dashboards and deep analytics using Apache Iceberg and columnar formats
Multi-level reporting structures: Fact and dimension modeling enabling analysis at individual, facility, district, state, and national levels
Cloud-agnostic deployment: Architectures that operate across Azure, AWS, GCP, and hybrid on-premise configurations without vendor lock-in
Centralized governance: All program data consolidated with built-in validation, lineage tracking, role-based access controls, and comprehensive audit trails
Historical preservation: Years of transactional data retained for trend analysis, longitudinal studies, and program evaluation
Cross-program integration: Shared infrastructure serving multiple programs simultaneously, enabling cross-program insights and efficiency
Result: A trusted, scalable foundation where stakeholders access authoritative data, complex queries on millions of records run efficiently, and complete program history remains accessible for analysis and accountability.
We design scalable data architectures that serve as the authoritative foundation for programs, combining performance, flexibility, and governance.
Representative Tools: PostgreSQL, ClickHouse, Amazon Redshift, BigQuery, Databricks, Azure Data Lake, Apache Iceberg
03
Dashboards, Analytics & MIS
Role-appropriate views: Different dashboards for field workers, program managers, administrators, and policymakers, each seeing the data relevant to their decisions
Real-time operational monitoring: Live updates on program implementation, enabling rapid course correction
Self-service analytics: Enabling program teams to explore data, build custom visualizations, run ad-hoc queries, and generate reports without technical dependencies
User-friendly design: Interfaces that work offline when needed, support regional languages, and don't require technical training to use
Comprehensive insights: Dashboards and analytics surfacing information from both traditional structured data and AI-processed unstructured sources, providing complete program visibility
Result: Every stakeholder, from community-level coordinators to senior decision-makers, has the information they need to do their job, presented in ways they can actually use.
We develop user-facing dashboards, analytics platforms, and Management Information Systems that present data to the people who need it, from frontline workers to program leaders and policymakers:
Tools: Apache Superset, Kibana, Grafana, Power BI
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02
02
Data Infrastructure & Governance
Data Infrastructure & Governance
Data Infrastructure & Governance
We design scalable data architectures that serve as the authoritative foundation for programs, combining performance, flexibility, and governance.
We design scalable data architectures that serve as the authoritative foundation for programs, combining performance, flexibility, and governance.
We design scalable data architectures that serve as the authoritative foundation for programs, combining performance, flexibility, and governance.
Unified lakehouse architectures: Combining data lake flexibility with data warehouse performance, supporting both operational dashboards and deep analytics using Apache Iceberg and columnar formats
Unified lakehouse architectures: Combining data lake flexibility with data warehouse performance, supporting both operational dashboards and deep analytics using Apache Iceberg and columnar formats
Unified lakehouse architectures: Combining data lake flexibility with data warehouse performance, supporting both operational dashboards and deep analytics using Apache Iceberg and columnar formats
Multi-level reporting structures: Fact and dimension modeling enabling analysis at individual, facility, district, state, and national levels
Multi-level reporting structures: Fact and dimension modeling enabling analysis at individual, facility, district, state, and national levels
Multi-level reporting structures: Fact and dimension modeling enabling analysis at individual, facility, district, state, and national levels
Cloud-agnostic deployment: Architectures that operate across Azure, AWS, GCP, and hybrid on-premise configurations without vendor lock-in
Cloud-agnostic deployment: Architectures that operate across Azure, AWS, GCP, and hybrid on-premise configurations without vendor lock-in
Cloud-agnostic deployment: Architectures that operate across Azure, AWS, GCP, and hybrid on-premise configurations without vendor lock-in
Centralized governance: All program data consolidated with built-in validation, lineage tracking, role-based access controls, and comprehensive audit trails
Centralized governance: All program data consolidated with built-in validation, lineage tracking, role-based access controls, and comprehensive audit trails
Centralized governance: All program data consolidated with built-in validation, lineage tracking, role-based access controls, and comprehensive audit trails
Historical preservation: Years of transactional data retained for trend analysis, longitudinal studies, and program evaluation
Historical preservation: Years of transactional data retained for trend analysis, longitudinal studies, and program evaluation
Historical preservation: Years of transactional data retained for trend analysis, longitudinal studies, and program evaluation
Cross-program integration: Shared infrastructure serving multiple programs simultaneously, enabling cross-program insights and efficiency
Cross-program integration: Shared infrastructure serving multiple programs simultaneously, enabling cross-program insights and efficiency
Cross-program integration: Shared infrastructure serving multiple programs simultaneously, enabling cross-program insights and efficiency
Result: A trusted, scalable foundation where stakeholders access authoritative data, complex queries on millions of records run efficiently, and complete program history remains accessible for analysis and accountability.
Result: A trusted, scalable foundation where stakeholders access authoritative data, complex queries on millions of records run efficiently, and complete program history remains accessible for analysis and accountability.
Result: A trusted, scalable foundation where stakeholders access authoritative data, complex queries on millions of records run efficiently, and complete program history remains accessible for analysis and accountability.
Representative Tools: PostgreSQL, ClickHouse, Amazon Redshift, BigQuery, Databricks, Azure Data Lake, Apache Iceberg
Representative Tools: PostgreSQL, ClickHouse, Amazon Redshift, BigQuery, Databricks, Azure Data Lake, Apache Iceberg
Representative Tools: PostgreSQL, ClickHouse, Amazon Redshift, BigQuery, Databricks, Azure Data Lake, Apache Iceberg
03
03
03
Dashboards, Analytics & MIS
Dashboards, Analytics & MIS
Dashboards, Analytics & MIS
We develop user-facing dashboards, analytics platforms, and Management Information Systems that present data to the people who need it, from frontline workers to program leaders and policymakers:
We develop user-facing dashboards, analytics platforms, and Management Information Systems that present data to the people who need it, from frontline workers to program leaders and policymakers:
We develop user-facing dashboards, analytics platforms, and Management Information Systems that present data to the people who need it, from frontline workers to program leaders and policymakers:
Role-appropriate views: Different dashboards for field workers, program managers, administrators, and policymakers, each seeing the data relevant to their decisions
Role-appropriate views: Different dashboards for field workers, program managers, administrators, and policymakers, each seeing the data relevant to their decisions
Role-appropriate views: Different dashboards for field workers, program managers, administrators, and policymakers, each seeing the data relevant to their decisions
Real-time operational monitoring: Live updates on program implementation, enabling rapid course correction
Real-time operational monitoring: Live updates on program implementation, enabling rapid course correction
Real-time operational monitoring: Live updates on program implementation, enabling rapid course correction
Self-service analytics: Enabling program teams to explore data, build custom visualizations, run ad-hoc queries, and generate reports without technical dependencies
Self-service analytics: Enabling program teams to explore data, build custom visualizations, run ad-hoc queries, and generate reports without technical dependencies
Self-service analytics: Enabling program teams to explore data, build custom visualizations, run ad-hoc queries, and generate reports without technical dependencies
User-friendly design: Interfaces that work offline when needed, support regional languages, and don't require technical training to use
User-friendly design: Interfaces that work offline when needed, support regional languages, and don't require technical training to use
User-friendly design: Interfaces that work offline when needed, support regional languages, and don't require technical training to use
Comprehensive insights: Dashboards and analytics surfacing information from both traditional structured data and AI-processed unstructured sources, providing complete program visibility
Comprehensive insights: Dashboards and analytics surfacing information from both traditional structured data and AI-processed unstructured sources, providing complete program visibility
Comprehensive insights: Dashboards and analytics surfacing information from both traditional structured data and AI-processed unstructured sources, providing complete program visibility
Result: Every stakeholder, from community-level coordinators to senior decision-makers, has the information they need to do their job, presented in ways they can actually use.
Result: Every stakeholder, from community-level coordinators to senior decision-makers, has the information they need to do their job, presented in ways they can actually use.
Result: Every stakeholder, from community-level coordinators to senior decision-makers, has the information they need to do their job, presented in ways they can actually use.
Tools: Apache Superset, Kibana, Grafana, Power BI
Tools: Apache Superset, Kibana, Grafana, Power BI
Tools: Apache Superset, Kibana, Grafana, Power BI
Representative Programs
Representative Programs
Representative Programs
Representative Programs
BeeHyv has applied these capabilities across multiple high-impact public-sector programs:
BeeHyv has applied these capabilities across multiple high-impact public-sector programs:
BeeHyv has applied these capabilities across multiple high-impact public-sector programs:
BeeHyv has applied these capabilities across multiple high-impact public-sector programs:
State-wide MIS supporting case reporting, testing, and vaccination coordination
State-wide MIS supporting case reporting, testing, and vaccination coordination
State-wide MIS supporting case reporting, testing, and vaccination coordination
Messaging and training program monitoring at national scale
Messaging and training program monitoring at national scale
Messaging and training program monitoring at national scale
Telemedicine service MIS where BeeHyv designed and built a centralized data lakehouse on Azure, supporting patient tracking and operational monitoring
Telemedicine service MIS where BeeHyv designed and built a centralized data lakehouse on Azure, supporting patient tracking and operational monitoring
Telemedicine service MIS where BeeHyv designed and built a centralized data lakehouse on Azure, supporting patient tracking and operational monitoring
A Digital Public Good for Jal Jeevan Mission capturing real-time data on water utilization across India
A Digital Public Good for Jal Jeevan Mission capturing real-time data on water utilization across India
A Digital Public Good for Jal Jeevan Mission capturing real-time data on water utilization across India
What Differentiates BeeHyv in Data & Dashboards
What Differentiates BeeHyv in Data & Dashboards
What Differentiates BeeHyv in Data & Dashboards
What Differentiates BeeHyv in Data & Dashboards
End-to-End Data Management - From field collection to executive dashboards, covering the full data lifecycle
End-to-End Data Management - From field collection to executive dashboards, covering the full data lifecycle
End-to-End Data Management - From field collection to executive dashboards, covering the full data lifecycle
Modern Lakehouse Architectures - Proven experience with data lakes, lakehouses, and warehouses using open formats (Iceberg, Parquet) at national scale
Modern Lakehouse Architectures - Proven experience with data lakes, lakehouses, and warehouses using open formats (Iceberg, Parquet) at national scale
Modern Lakehouse Architectures - Proven experience with data lakes, lakehouses, and warehouses using open formats (Iceberg, Parquet) at national scale
Multi-Cloud & Open Standards - Cloud-agnostic architectures avoiding vendor lock-in, supporting hybrid deployments
Multi-Cloud & Open Standards - Cloud-agnostic architectures avoiding vendor lock-in, supporting hybrid deployments
Multi-Cloud & Open Standards - Cloud-agnostic architectures avoiding vendor lock-in, supporting hybrid deployments
Geospatial Analytics & Visualization - Maps, spatial analysis, and location-based insights for program monitoring and equity analysis
Geospatial Analytics & Visualization - Maps, spatial analysis, and location-based insights for program monitoring and equity analysis
Geospatial Analytics & Visualization - Maps, spatial analysis, and location-based insights for program monitoring and equity analysis
Secure & Auditable Governance - Role-based access, comprehensive audit trails, and compliance and accountability requirements built-in
Secure & Auditable Governance - Role-based access, comprehensive audit trails, and compliance and accountability requirements built-in
Secure & Auditable Governance - Role-based access, comprehensive audit trails, and compliance and accountability requirements built-in
Open Source & DPG Contributions - Contributing to Digital Public Goods ecosystem for broad accessibility and ecosystem impact
Open Source & DPG Contributions - Contributing to Digital Public Goods ecosystem for broad accessibility and ecosystem impact
Open Source & DPG Contributions - Contributing to Digital Public Goods ecosystem for broad accessibility and ecosystem impact
Open Source & DPG Contributions - Contributing to Digital Public Goods ecosystem for broad accessibility and ecosystem impact
Address
Corporate Office
BeeHyv Software Solutions Pvt. Ltd., Raja Praasadamu, Level 3,Plot No. 6, 6A and 6B, Masjid Banda Road, Botanical Garden
Road, Kondapur, Hyderabad, Telangana,
INDIA PIN – 500084
US Office
BeeHyv Inc. 4500 Eldorado Parkway, STE 2200, McKinney, TX 75070, USA
Get in touch
+91-9885200112
+1 (945) 268 0565
impact@beehyv.com
Address
Corporate Office
BeeHyv Software Solutions Pvt. Ltd., Raja Praasadamu, Level 3,Plot No. 6, 6A and 6B, Masjid Banda Road, Botanical Garden
Road, Kondapur, Hyderabad, Telangana,
INDIA PIN – 500084
US Office
BeeHyv Inc. 4500 Eldorado Parkway, STE 2200, McKinney, TX 75070, USA
Get in touch
+91-9885200112
+1 (945) 268 0565
impact@beehyv.com
Address
Corporate Office
BeeHyv Software Solutions Pvt. Ltd., Raja Praasadamu, Level 3,Plot No. 6, 6A and 6B, Masjid Banda Road, Botanical Garden
Road, Kondapur, Hyderabad, Telangana,
INDIA PIN – 500084
US Office
BeeHyv Inc. 4500 Eldorado Parkway, STE 2200, McKinney, TX 75070, USA
Get in touch
+91-9885200112
+1 (945) 268 0565
impact@beehyv.com
Address
Corporate Office
BeeHyv Software Solutions Pvt. Ltd., Raja Praasadamu, Level 3,Plot No. 6, 6A and 6B, Masjid Banda Road, Botanical Garden Road, Kondapur, Hyderabad, Telangana,
INDIA PIN – 500084
US Office
BeeHyv Inc. 4500 Eldorado Parkway, STE 2200, McKinney, TX 75070, USA
Get in touch
+91-9885200112
+1 (945) 268 0565
impact@beehyv.com
Address
Corporate Office
BeeHyv Software Solutions Pvt. Ltd., Raja Praasadamu, Level 3,Plot No. 6, 6A and 6B, Masjid Banda Road, Botanical Garden Road, Kondapur, Hyderabad, Telangana,
INDIA PIN – 500084
US Office
BeeHyv Inc. 4500 Eldorado Parkway, STE 2200, McKinney, TX 75070, USA
Get in touch
+91-9885200112
+1 (945) 268 0565
impact@beehyv.com
Address
Corporate Office
BeeHyv Software Solutions Pvt. Ltd., Raja Praasadamu, Level 3,Plot No. 6, 6A and 6B, Masjid Banda Road, Botanical Garden Road, Kondapur, Hyderabad, Telangana, INDIA PIN – 500084
US Office
BeeHyv Inc. 4500 Eldorado Parkway, STE 2200, McKinney, TX 75070, USA
Get in touch
+91-9885200112
+1 (945) 268 0565
impact@beehyv.com
Address
Corporate Office
BeeHyv Software Solutions Pvt. Ltd., Raja Praasadamu, Level 3,Plot No. 6, 6A and 6B, Masjid Banda Road, Botanical Garden Road, Kondapur, Hyderabad, Telangana, INDIA PIN – 500084
US Office
BeeHyv Inc. 4500 Eldorado Parkway, STE 2200, McKinney, TX 75070, USA
Get in touch
+91-9885200112
+1 (945) 268 0565
impact@beehyv.com
"Technology Leadership and Engineering Excellence for Nation-Scale Platforms"
"Technology Leadership and Engineering Excellence for Nation-Scale Platforms"
"Technology Leadership and Engineering Excellence for Nation-Scale Platforms"
"Technology Leadership and Engineering Excellence for Nation-Scale Platforms"
"Technology Leadership and Engineering Excellence for Nation-Scale Platforms"
"Technology Leadership and Engineering Excellence for Nation-Scale Platforms"
"Technology Leadership and Engineering Excellence for Nation-Scale Platforms"
"Technology Leadership and Engineering Excellence for Nation-Scale Platforms"
"Technology Leadership and Engineering Excellence for Nation-Scale Platforms"
"Technology Leadership and Engineering Excellence for Nation-Scale Platforms"
"Technology Leadership and Engineering Excellence for Nation-Scale Platforms"
"Technology Leadership and Engineering Excellence for Nation-Scale Platforms"