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At nexquare we solve this problem. We help you leverage data and insights to enable evidence-based decision making using data. Across ministries of education, your schools and classrooms and with your teachers, we help to improve learning outcomes and enable a transformation in efficiency, transparency and efficacy of operations.
nexquare's enterprise-grade big data analytics platform allows regulators, governments and large educational institutions immediate access to powerful data science capabilities that can integrate with their existing data sources. The platform enables cross-sectional and longitudinal insights, prediction of outcomes and prescription of actions - allowing for better management, delivery and outcomes; and in the case of governments, evidence-based policy interventions.
Whilst a rich spectrum of data is available, historic data is sporadic and of poor quality, preventing rich insights into educational outcomes and delivery
Data exists in silos, across disparate solutions (CRM, SIS, ERP etc), databases and servers, preventing a single, 360°, connected view to generate richer holistic insights
Data science and engineering capabilities are scarce, preventing educational institutions to leverage their data by building analytics platforms and publishing insights
Reports are usually pre-built and two dimensional - conducting any type of drill-downs, deep-dives or ‘what-if’ analysis becomes time intensive and laborious
Analytics initiatives are launched with little focus on solving actual problems faced by educators and learners on a daily basis, limiting consumption and impact
Although the students and educators' data is sensitive and confidential, strict security protocols and standards are rarely followed, increasing cyber security risks
Universal data “adaptor” that can plug into 200+ existing data systems and collect data, on a real-time and batch basis.
Allowing schools, colleges and governments the ability to collect data from disparate sources for holistic analytics and insights, hence, eliminating data silos.
Using advanced clustering and anomaly detection algorithms, quality issues are identified, providing a regular, non-tech savvy user with the control to know where the errors are happening and how to fix them
Instant data validations on the front-end to enhance data quality with pre-built data pipelines to automate data ingestion.
Leverages Apache Spark to achieve higher data processing speeds of about 100x faster in memory and 10x faster on the disk.
Capability to deploy machine learning algorithms to predict key students’ outcomes including attainment, progression and retention, and to identify key drivers behind them.
A self-service business intelligence layer that can be used by non-tech savvy users to query data, conduct drill downs, perform what-if analyses, and conduct deep dives ‘on-the-fly’.
They can also build their own dashboards and reports. Users don’t need to rely on the MIS/IT departments even for complex asks
User-friendly interface built upon Google’s material design principles, that has been extensively tested with end users, to maximise adoption and usage of insights that are generated by the platform
Cyber security tools and applications are built-in to provide encryption, multi-factor authentication and gateway firewalls to protect user data
Designed to ensure rapid end-to-end deployment and implementation across data collection, processing and insight generation
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Office 1202, Shatha Tower,
Dubai Internet City,
Dubai,
United Arab Emirates
