EdTech Analytics Solutions
NeenOpal believes in data-driven student success when it comes to leveraging data analytics for improved learning outcomes. We empower educational industry to get the right insights to make informed decisions, drive better student outcomes, and enhance overall operational efficiency.
- Improvement in student retention rates
- 27%
- Reduction in operational costs
- 15%
- Accuracy in enrollment predictions
- 95%

The challenge
Customer Challenges
Many educational institutions grapple with high maintenance costs, intricate integrations, and a lack of expertise in handling data. Let’s take a look at some of the most common data challenges in the education industry today:
Diverse Systems and Data Sources
A study found that knowledge workers spend 19% of their time gathering information from multiple sources. Managing learning functions means handling a wide range of applications and data sources, often cumbersome due to varying data formats & protocols.
Lack of Analytical Expertise
Education as industry lacks the expertise to interpret and act on data insights, impacting data-driven decision-making and educational outcomes. Even 50% of educators identified data literacy as a significant barrier to the effective use of data in educational settings.
Data Silos & Integration Issues
Departments where separate data systems are maintained often suffer from fragmentation of data. 46% of knowledge workers acknowledge that poor business processes, exacerbated by data silos, result in delayed decisions and an increased risk of errors.
Regulatory Compliance
Regulatory compliance presents significant challenges particularly in the realm of education analytics. In 2023, 29% of higher education institutions identified regulatory and legal compliance as a top risk, marking an 8% point increase from the previous year.
Our services
Our Services
Our services are designed to help educational institutions overcome industry challenges and strengthen their operations. From building scalable SaaS solutions to optimizing cloud infrastructure and enabling data-driven decision-making, we provide tailored services that improve efficiency, reduce costs, and support sustainable growth.
Applied AI & ML
Our Applied AI & ML solutions bring intelligence to business processes. From predictive modeling to workflow automation, we deploy ML models that improve accuracy, enable smarter decisions, and enhance productivity across the value chain.
Read moreBusiness Intelligence
We build BI that gets used, not just delivered. Using Power BI, Tableau and Amazon Quick, we design the data underneath first, so every dashboard runs on a single source of truth and becomes the place decisions get made.
Read moreData Engineering
Our Data Engineering service enables businesses to unlock the full potential of their data. From building robust data pipelines to integrating multiple systems, we deliver reliable solutions that support analytics, improve efficiency, and drive better outcomes.
Read moreAI Agent Development
We build AI agents that take real action in your systems, grounded in your own data. With the right tools, orchestration and guardrails built in from day one, every agent does only what it's meant to, safely in production.
Read moreData Warehouse Modernization
We move legacy data warehouses to Snowflake, BigQuery, Redshift or a modern lakehouse without disrupting reporting. Each phase runs alongside your existing warehouse, and we cut over only once the new platform has proven itself against your real data.
Read moreCloud Services
We run your entire cloud journey as one accountable team across AWS and Azure. From a Well-Architected Review and roadmap through migration, managed operations, security and compliance, we keep your cloud outcome-first and cost-optimized.
Read more
Why NeenOpal
Why Choose NeenOpal?
NeenOpal’s edge in education analytics lies in our ability to combine advanced data science with a profound comprehension of the challenges faced by educational sector. Here’s how NeenOpal stands out in education analytics service:
Proven Track Record
We have successfully implemented customized analytics solutions for numerous educational organizations. Our data-driven insights helped institutions identify at-risk students, enabling early intervention & personalized support.
Deep Domain Knowledge
Our team combines years of experience in data analytics with a thorough understanding of the education sector, ensuring that our solutions are both technically advanced and tailored to the unique needs of educational institutions.
Data Security & Compliance
By understanding the importance of data privacy and compliance in education market, NeenOpal adheres to the global industry standards and regulatory requirements, ensuring that all educational data is handled securely.

Case studies
Related Case Studies

Real-Time Data Ingestion & Transformation Using Microsoft Fabric Streaming
A leading EdTech company partnered with our data engineering team to modernize their data pipeline infrastructure. The client faced delays in data availability, limited real-time insights, and difficulties scaling analytics and machine learning workloads due to their traditional batch-oriented ETL pipelines. To overcome these challenges, they aimed to implement a streaming-first, unified data architecture using Microsoft Fabric and its Streaming capabilities to Onelake Lakehouse.
Read case study
Unifying Educational Data with Microsoft Fabric & Power BI
We partnered with a growing Ed-Tech SaaS provider that delivers cloud-based data infrastructure and analytics for K–12 school districts. The platform enables schools to unify their student information, learning systems, and performance data, providing real-time insights to educators and administrators. However, the provider faced significant challenges in integrating data from multiple systems, ensuring data quality, and delivering consistent, scalable analytics experiences. To address this, we implemented a modern data foundation using Microsoft Fabric, Synapse Analytics, and Power BI, completely transforming how education data is managed and visualized.
Read case study
Cross-Tenant Semantic Model Migration
Replicating a semantic model across Microsoft Fabric tenants was a major roadblock for our Edtech client. Since semantic models are tightly coupled to their tenant, workspace, and Lakehouse, migration became highly complex, especially when advanced DAX logic and metadata had to be preserved. To overcome this, we built a reusable solution using .bim files and a Fabric Notebook. This approach automated the process and enabled seamless transfer of the model from Lakehouse A in Tenant A to Lakehouse B in Tenant B.
Read case study
Automating & Embedding Reports in SaaS Platform
A leading SaaS platform delivering analytics across domains such as Enrollment, Assessments, Student Equity, and Programs faced challenges scaling reporting for multiple clients. To ensure automated, secure, and consistent dashboards, the organization partnered with NeenOpal to implement Power BI Embedded and Microsoft Fabric, creating a scalable reporting framework that delivered faster insights, improved user experience, and seamless multi-tenant support.
Read case study
Modernizing Medallion Architecture
A leading EdTech SaaS provider relied on Azure Synapse for processing vast educational datasets, including student performance, enrollment trends, and institutional metrics. Performance bottlenecks and rising costs made scaling increasingly difficult. To modernize analytics and remain competitive, the organization partnered with NeenOpal to migrate seamlessly to Microsoft Fabric using a Medallion (Bronze–Silver–Gold) architecture, ensuring scalability, cost efficiency, and faster insights.
Read case study
Client reviews
What clients say about working with us
Talk to our education data team
Tell us about your systems and the outcomes you need. An industry expert will follow up with next steps.
Insights
Latest Blogs

Microsoft Fabric Implementation: A 5-Phase Roadmap, Realistic Timelines and Costs
Plan your Microsoft Fabric implementation with a 5-phase roadmap, realistic timelines, cost drivers and the mistakes that stall projects, from real delivery.

How to Migrate to Tableau from Qlik, Looker, MicroStrategy and Other BI Tools
Plan your move to Tableau from Qlik, Looker, MicroStrategy, Cognos, or BusinessObjects: concept mapping, a 5-stage plan, security checks, and a checklist.

Title Insurance Analytics: 5 Power BI Dashboards for Reporting
Title insurance analytics for reporting: 5 Power BI dashboards for closings, title ops, sales, wire fraud prevention, and customer surveys. Get the free playbook.

Amazon Quick Spaces Guide: How to Build Chat Agents You Can Trust
Set up Amazon Quick Spaces and chat agents that answer from your databases and documents, with guardrails your team can trust. Talk to an AWS partner.

Tableau Pulse Best Practices: Optimizing for Accurate AI Answers
How to optimize Tableau Pulse and Tableau Agent for trustworthy answers: data prep, metric design, and setup tips that keep the numbers correct.

How to Export a Tableau Dashboard to Excel: From Raw Data to Fully Formatted Charts
Export a Tableau dashboard to Excel in one click. Get every table, KPI, and filter for free, or rebuild the full dashboard with editable charts. See how.



