Industries/Education Software Development Services/Learning Analytics & Education Data Platforms

Learning Analytics & Education Data Platforms

Q: What do we need to know while designing an education data platform?

Key considerations include data integration, scalability, usability, security, privacy issues, and regulatory compliance such as FERPA and GDPR.

Turn learning and operational data into actionable insights with analytics platforms for learner needs.

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Track learner performance, predict outcomes, and support data-driven academic and business decisions.Track learner performance, predict outcomes, and support data-driven academic and business decisions.

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Odin Education is transforming learning in Africa through accessible, technology-driven education solutions.

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Leverage dashboards, predictive analytics, reporting, and AI insights to improve learning outcomes.

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Learning Analytics Dashboards
Build interactive learning analytics dashboards that provide real-time visibility into learner engagement, course completion, attendance, academic performance, and participation as part of Cubet's learning analytics services in India. Enable educators and administrators to monitor key metrics and make informed decisions through intuitive visual reports.
Student Performance Analytics
Develop analytics solutions that identify learning trends, knowledge gaps, assessment outcomes, and student progress across courses. Help educators recognize at-risk learners, measure academic performance, and implement targeted interventions to improve learning outcomes through our education analytics solutions in India.
Predictive Learning Analytics
Leverage AI and machine learning to forecast learner success, predict course completion, identify potential dropouts, and recommend timely interventions. Enable institutions to make proactive decisions based on historical and real-time learning data.
Education Data Warehousing
Design centralized education data warehouses that consolidate information from LMS, SIS, ERP, CRM, assessment platforms, and other academic systems, forming the backbone of a reliable education data platform. Create a single source of truth for reporting, analytics, compliance, and institutional planning.
Executive Reporting Platforms
Develop executive reporting platforms that provide school leaders, administrators, and decision-makers with real-time insights into enrollment, learner performance, faculty effectiveness, operational metrics, and institutional performance through customizable dashboards.
Data Integration Services
Integrate LMS, Student Information Systems (SIS), ERP, CRM, assessment platforms, payment systems, and third-party educational tools to create a connected data ecosystem that supports consistent reporting, streamlined workflows, and accurate information sharing.
AI-Powered Education Insights
Implement AI-driven analytics that uncover patterns in learning data, generate actionable recommendations, identify performance trends, and support educators with data-backed insights for curriculum planning and learner success.

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Leading revolutionary changes in education

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Innovative corporate learning system improved engagement, boosted retention, and enhanced workforce productivity.

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AI solutions enhanced clinical decision-making, improved accuracy, and optimised patient outcomes.

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Why Innovators Choose Cubet

EdTech innovators choose Cubet to build, modernise, and scale digital learning products that meet evolving learner and institutional needs.

Why Innovators Choose Cubet

EdTech innovators choose Cubet to build, modernise, and scale digital learning products that meet evolving learner and institutional needs.

Transform Learning

Why Choose Cubet?

Actionable reporting
Enterprise-scale platforms
Secure data management
Data integration capabilities
Interactive dashboards
Actionable reporting

Transform Learning

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Results & strategies from projects that drove success

Every challenge taught us something. Every solution made a difference. Explore case studies and white papers that capture the results we've achieved together with our clients.

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How We Taught an Enterprise Compliance Platform to Guide Its Own Users

This case study explores how AI was embedded across both orchestration logic and the user experience layer to align system intelligence with user guidance. It shows how enterprise platforms can reduce complexity, improve adoption, and support users without compromising control or scale.

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How We Built a Platform That Knows Who You Are Before You Say a Word

This case study explores how role-aware personalization was implemented as a native AI capability within enterprise systems. It shows how software can adapt to users in real time, surface relevant actions, and remain powerful without becoming complex.

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Intelligent Automation as a Native Enterprise Capability: Moving Enterprise Operations Beyond Scripts and Manual Effort

This case study explores how intelligent automation was implemented as a native enterprise capability rather than a collection of scripts or RPA flows. It shows how AI-driven orchestration can reduce operational effort, improve reliability, and keep human judgment where it matters most.

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This case study explores how Voice AI was architected as a core enterprise capability rather than a surface-level tool. It shows how conversational intelligence can move beyond pilots to become a dependable part of daily operations in healthcare and elderly care environments.

Artificial Intelligence

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The Experience we create with Technology is Everything!

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Frequently Asked Questions

A Learning Analytics platform collects and analyzes data from courses, assessments, learner activities, attendance, engagement, and other sources to provide insights into learning performance and outcomes.

They can provide insights into learner performance, engagement, course completion, assessment results, attendance, retention, learning outcomes, and institutional performance through dashboards and reports.

Yes. Education data platforms can consolidate information from LMS platforms, student information systems, assessment tools, ERP solutions, CRM systems, and other data sources through APIs and data integrations.

Analytics can help educators identify learning gaps, track individual and group performance, monitor engagement, assess course effectiveness, and identify learners who may need additional academic support.

Yes. AI and predictive models can be used to identify patterns, generate recommendations, forecast learner outcomes, and surface insights that support academic and institutional decision-making.

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Drop us your requirements, and we’ll come back with a clear plan on how we can support you.

Choosing Cubet was the turning point in our project

Tech Lead, Jenda Mark

Working with Cubet felt like adding an extension to our core team

CTO, SNO

They understood our goals better than we did.

CEO, Trust Cyprus

Choosing Cubet was the turning point in our project

Tech Lead, Jenda Mark

Working with Cubet felt like adding an extension to our core team

CTO, SNO

They understood our goals better than we did.

CEO, Trust Cyprus

Hear from our clients about their experience!

Testimonials & Success Stories

Committed Tech Partner

Our experience with Cubet has been awesome, and we are very thankful for their passion, flexibility, and commitment. We highly recommend them.

Frances Barkley, Head of DevOps & Strategic Marketing

Testimonials & Success Stories

A Decade of Dependability

Over 10 years with Cubet, we’ve seen consistent dedication, adaptability, and a can-do attitude. Their creativity and problem-solving approach have significantly boosted our agility and operational efficiency, making them an invaluable extension of our team.

John Stuart, CEO-Fuell

Testimonials & Success Stories

Skilled and Solution-Oriented

Cubet consistently delivers high-quality work and exceeds expectations. Building a remote vision control system for robotics is complex, but their team brought the right skills, patience, and drive—making the implementation process smooth and successful.

Tommy Jonsson, CTO, ByteMotion

Testimonials & Success Stories

Agile, Insightful, Cost-Conscious

Cubet is our trusted partner, providing fast agile development and ongoing support for our BMJ platforms. They understand our needs and improve them with best practices. As a non-profit, we value the cost efficiency without sacrificing quality

Ruth Staunton , Head-Corporate Marketing, BMJ

Testimonials & Success Stories

Consistent, Timely, Innovative

We’ve partnered with Cubet for years on a Medical EMR project. Their project management is consistently excellent, always meeting deadlines. Their developers actively look for innovative ways to improve our designs, adding real value to the collaboration.

Dr Hassan Shafeeq, CEO, BloomEMR

Testimonials & Success Stories

Well-Orchestrated Collaboration

Cubet played a key role in building our mobile apps in 2020. What stood out was their tight coordination every phase, from planning to delivery, felt smooth, collaborative, and well-managed across months of focused teamwork.

Lyric Jain, CEO, Logically

Testimonials & Success Stories

Trusted Growth Partner

My partnership with Cubet began six years ago and has steadily flourished. Collaborating with them on both personal product development and client projects has been a smooth experience, marked by professionalism, consistency, and shared success.

Anik Devaughan, CEO, Ozone

Testimonials & Success Stories

Reliable Technology Partnership

Cubet has been a reliable technology partner for Odin Education. Their proactive approach, technical expertise, and commitment to delivering quality solutions have played a key role in supporting our mission to transform education through technology

Ajit Gopalakrishnan, Head of Odin Education at Jendamark Automation.

Learning Analytics & Education Data Platforms

Turn learner data into meaningful insights with Cubet’s learning analytics solutions. We develop learning analytics platforms and education data platforms that help institutions track student performance, monitor engagement, and make informed decisions.

By connecting data from LMS, SIS, assessment tools, and digital learning platforms, we help institutions identify learning gaps, understand learner progress, and improve educational outcomes.

Unified Education Data Platforms

When learner data is spread across multiple systems, getting a complete picture of student performance becomes challenging. Cubet develops education data platforms that integrate with your existing digital infrastructure, including LMS platforms, SIS solutions, assessment tools, content platforms, and learner engagement systems.

Our education data platform development services can include:

Data integration: Connect different educational systems and bring relevant information into one environment.
Data pipelines: Automate the movement, processing, and transformation of data from multiple sources.
Centralised data storage: Organise educational data in a structured environment that supports reporting and analytics.
Data standardisation: Use suitable learning data standards, such as xAPI and Caliper, to improve consistency and interoperability.
Data quality management: Improve data accuracy and consistency to support more reliable reporting and analysis.

By creating a unified data layer, institutions can reduce information silos and spend less time gathering data manually.

Learning Analytics & Predictive Insights

The use of a learning analytics solution allows institutions to know how the learners interact with the educational material, how the performance of the learners changes with time, and how further assistance could be provided. Combining the two types of analytics in the field of education will enable institutions to move from analyzing past performance to spotting problems ahead of time. Cubet develops learning analytics solutions.

Learner Engagement and Progress Tracking

Understand how learners interact with courses, access learning materials, participate in activities, and progress through their programmes.

Identification of At-Risk Learners

Student performance analysis can assist in identifying at-risk learners using various indicators such as falling assessment results, poor participation, skipped activities or changes in learning progress.

Predictive Analytics for Retention and Success

Predictive models can assist institutions in determining the probability of learner disengagement, programme dropout or late completion. Such predictions help in planning interventions for advisors and educators to prioritize learners.

Effectiveness of Courses and Learning Materials

Identify courses, learning materials and activities that contribute to engagement and performance of learners. Comparing learner engagement with assessment results can help in determining what course material or teaching methods need to be improved.

Analytics of Assessment Performance

Analyze assessment results, find out common knowledge gaps and compare performance among various assessments. This will help educators determine where learners need more practice or a change in their learning strategy.

Cohort and Programme Benchmarking

Compare learning outcomes across cohorts, courses, departments, and programmes to identify performance differences and improvement opportunities. Leadership teams can use these insights to evaluate programme effectiveness and plan resources more effectively.

Dashboards & Reporting for Every Stakeholder

Different stakeholders need different information to make decisions. Cubet develops role-based dashboards and reporting capabilities to support the needs of educational institutions.

Instructors: Track learner engagement, assessment results, progress, and areas requiring additional attention.
Academic advisors: Review learner progress and identify students who may need guidance or intervention.
Administrators: Monitor enrolment, course participation, programme performance, and operational indicators.
Institutional leadership: Review performance trends, compare programmes, and support strategic planning.
Learners: Access progress views that help them understand their performance and areas for improvement.

Depending on your needs, our dashboards will include custom reports, scheduled reports, summary reports, and accreditation or compliance reports. We are interested in providing the appropriate data for you in such a way that you would be able to understand it better and make decisions based on that data.

Data Privacy, Compliance & Governance

Educational data includes personal information, assessment records, learning activity, and other sensitive details. Protecting this information is essential when developing an education data platform or learning analytics software.

Cubet considers privacy, security, and data governance as part of the platform development process.

Key considerations include:

Access controls: Define permissions based on user roles and responsibilities.
Consent management: Support appropriate processes for collecting and using learner data.
Data anonymisation: Reduce the exposure of personal information when identifiable data is not required for analysis.
Data governance: Establish clear practices for data ownership, quality, retention, and usage.
Regulatory alignment: Design suitable controls to support applicable requirements, including GDPR and FERPA where relevant.
Responsible analytics: Consider fairness, transparency, and the potential impact of automated predictions on learners.

Industries and Use Cases

Learning analytics solutions can support different educational environments, each with its own data sources, reporting requirements, and learning objectives.

Universities and Colleges

Connect student records, course activity, and assessment results to understand learner progress, support retention initiatives, and evaluate programme performance.

K-12 Schools and Districts

Track student performance across subjects and assessments, identify learning gaps, and help educators plan timely academic support.

Corporate Training Teams

Analyse employee participation, assessment results, course completion, and skill development to understand training effectiveness and identify areas where additional learning is needed.

EdTech Platforms

Use educational data analytics to understand learner behaviour, evaluate digital content, support personalised learning experiences, and improve platform engagement.

Why Cubet for Learning Analytics & Education Data Platforms?

Having 18+ years of experience and over 100+ case studies, Cubet provides support to educational institutions in developing a learning analytics platform according to your requirements. The solutions include system integration and data accessibility, along with providing insights through dashboards, reporting, and predictive analytics.

Be it a new platform development or an upgrade to your current education data platform, we assist you in making the right decisions with secure, scalable, and integrated data solutions.

FAQs

1. What is a learning analytics platform?

A learning analytics platform analyzes educational data to monitor the engagement of learners, assess their performance, and make informed educational decisions.