Education Analytics the Game Changer Parameter

Empowering educators with data-driven insights to enhance student learning outcomes and institutional efficiency.

Selfservice Analytics
Custom Analytics Dahboards
Cross Functional Insights

100+ Graduate Programmes in Top Institutions Globally

Crux of Analytics

Value to be extracted

Academic Operations Analytics

Optimize your institution's performance and resource management with data-driven insights through Academic Operations Analytics, ensuring efficient and effective educational delivery.

Inisights for Decision Makers

Empower your leadership with actionable insights, enabling data-informed decisions that drive strategic growth and operational excellence.

Reports to power Analysis

Leverage comprehensive reports that provide in-depth analysis, helping you to identify trends, measure performance, and make informed decisions with confidence.

Self Service Analytics

Enable your team to independently explore data and generate insights with intuitive self-service analytics tools, fostering a culture of data-driven decision-making.

Integrated Views in EDTEX SaaS

Experience seamless data integration with EDTEX SaaS, providing unified views across all your educational data to enhance analysis and decision-making.

Role Specific Access to insights

Ensure that every team member receives relevant data with role-specific access to insights, empowering informed decisions at every level of your organization.

Academic Oprerations Analytics

Cross Functional insights will allow data driven decision making toward achieving overall efficiencies

From Our Customers

Streamline processes & improved operational efficiencies.

The Team EDTEX successfully helped automate the Day Placement Process at XLRI that includes scheduling and real-time student tracking. During the pandemic time, they came up with an innovative Virtual Placements Automation Software that provided interfaces to students as well as companies. Using Skynet Virtual Placement solution, XLRI has conducted the Summer Internship Process (SIP) virtually.

Prof. Rajiv Misra
Placement Chairperson - XLRI

EDTEX - Skynet Product Team have rendered their services and support through Placement Automation Software for the Online Placement Process at IIM Bangalore since March 2020. The software has been successfully implemented and rendered

Prof. Dinesh Kumar
Placement Chairperson - IIM Bangalore

Team EDTEX did a great job in automating the comprehensive placement process of IIM Lucknow. Skynet helped streamline the entire placement process across the entities: recruiters, students, and the placement team and facilitated smooth communication flow. Skynet was proactive in terms of understanding the data requirements and their use cases to present them in easy to consume from.

Prof. Rajesh Aithal
Placement Chairperson - IIM Lucknow

We are happy to recommend the Course Bidding System software, which was developed by our student and alumnus Mr. Anil Kumar Vishwanadhula for IIMA.

Prof. Shailesh Gandhi
Dean Programmes - IIMA

IIMB is extremely satisfied with the efficient support being provided by the EDTEX team during the Course Bidding rounds and while scheduling the term Timetable.

Prof. Abhoy K Ohja 
Dean Programmes - IIMB

EDTEX did an excellent job of integrating and automating all the activities of our admissions process including shortlisting, scheduling of personnel interviews and generating the list of final selected candidates in an extremely user-friendly product.

Prof. Vishal Gupta
PGP Admissions Chair- IIMA

EDTEX team, led by Anil and Arun, worked closely with our team for the last two years in a row to make a successful pivot from physical recruitment processes to one that is completely driven online. The team has ideated and helped in successful execution of virtual placements for one of the largest recruitment drives in India. This year with 900 plus students in the ISB PGP Class of 22, the end-to end conceptualization and execution of digital placements was done in partnership with the Edtex team.

Uday Virmani
Senior Director CAS - ISB Hyderabad

Our latest writings

All Resources
5 Min

Why implement University Analytics Solutions?

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In the evolving landscape of higher education, universities are increasingly relying on data-driven insights to enhance decision-making processes, improve student outcomes, and optimize operational efficiency. University analytics solutions encompass a range of tools and techniques designed to analyze vast amounts of data generated within educational institutions. Leading consulting firms have extensively researched and developed strategies to implement these solutions effectively. This blog article delves into the best practices and recommendations from major consulting firms on implementing university analytics solutions.

Understanding University Analytics

University analytics involves the collection, analysis, and interpretation of data related to various aspects of university operations, including student performance, enrollment trends, faculty productivity, financial management, and campus infrastructure. By leveraging advanced analytics, universities can:

  • Enhance Student Success: Identify at-risk students early and provide targeted interventions.
  • Improve Course Offerings and Optimize course enrollments
  • Improve Enrolment Management: Optimize recruitment and retention strategies.
  • Improve Placement Process Outcomes: Optimize Placement Operations and with 100% visibility improve outcomes
  • Streamline Operations: Increase efficiency in Faculty resource allocation with Optimised Timetable Generation and Management

Key Recommendations from Consulting Firms

1. Accenture: Emphasizing Data Governance

Accenture highlights the importance of robust data governance frameworks to ensure data quality, privacy, and security. According to their report, universities must establish clear data governance policies, define data ownership, and implement data stewardship practices to maintain the integrity and accuracy of their analytics initiatives. Accenture also recommends investing in modern data infrastructure that supports scalable and flexible data integration.

2. Deloitte: Fostering a Data-Driven Culture

Deloitte emphasizes the need to cultivate a data-driven culture within the university. This involves training faculty, staff, and administrators on the value of data analytics and encouraging them to incorporate data insights into their decision-making processes. Deloitte's insights suggest that universities should develop comprehensive training programs and provide ongoing support to ensure widespread adoption of analytics tools.

3. PwC: Leveraging Advanced Analytics Technologies

PwC advises universities to adopt advanced analytics technologies, such as artificial intelligence (AI) and machine learning (ML), to uncover deeper insights from their data. These technologies can enhance predictive analytics capabilities, enabling universities to anticipate student needs, optimize resource allocation, and improve academic outcomes. PwC also recommends partnering with technology vendors to access cutting-edge analytics solutions and expertise.

4. McKinsey & Company: Aligning Analytics with Strategic Goals

McKinsey & Company underscores the importance of aligning analytics initiatives with the university's strategic goals. Universities should define clear objectives for their analytics projects and ensure that these initiatives support broader institutional priorities, such as improving student retention rates or enhancing research capabilities. McKinsey advises universities to develop a strategic roadmap for analytics implementation, outlining key milestones and performance indicators.

Successful Implementation of University Analytics with Focus on Placement Process by EDTEX at XLRI Jamshedpur, IIM Bangalore

EDTEX specializes in providing cutting-edge analytics solutions tailored to the needs of educational institutions. By integrating data from various sources, EDTEX's platforms offer comprehensive insights that help universities streamline their operations and make data-driven decisions.


The primary objectives of implementing university analytics solutions at XLRI Jamshedpur, IIM Bangalore, and IIM Trichy were:

  1. Improving Placement Outcomes: Analyze historical placement data to identify trends and optimize placement strategies.
  2. Tracking and Reporting: Develop robust tracking and reporting mechanisms to monitor placement activities and outcomes.

Implementation Strategy

XLRI Jamshedpur

Objective: Enhance placement preparation and employer engagement.

Implementation: EDTEX implemented an analytics platform that integrated data from academic records, placement history, The Skynet Placement Automation platform provided insights into the skills and competencies most sought after by employers. Additionally, the platform streamlined the process of matching students with potential employers based on their profiles and preferences.

Outcome: XLRI Jamshedpur saw a significant improvement in placement rates and student satisfaction. The data-driven approach allowed for more targeted preparation, leading to better alignment between student skills and employer expectations.

IIM Bangalore

Objective: Optimize placement strategies and improve reporting.

Implementation: EDTEX’s Skynet analytics platform at IIM Bangalore focused on analyzing historical placement data to identify trends and patterns. This analysis helped in developing more effective placement strategies, such as identifying peak hiring periods and the most successful engagement tactics with employers. The platform also provided real-time tracking and reporting features, allowing the placement office to monitor progress and make adjustments as needed.

Outcome: IIM Bangalore experienced increased efficiency in its placement process. The ability to quickly analyze and act on data led to improved placement rates and more strategic employer engagements. The real-time reporting capabilities enhanced transparency and accountability in the placement process.


Implementing university analytics solutions is a transformative journey that can significantly enhance the operational efficiency and academic success of educational institutions. By following the best practices and recommendations from major consulting firms Accenture, Deloitte, PwC, and McKinsey & Company and Academic Operations Automation Players EDTEX with universities can harness the power of data to drive informed decision-making and achieve their strategic goals. As universities continue to evolve in the digital age, the adoption of advanced analytics will play a crucial role in shaping the future of higher education.

Elective Course Bidding
5 Min

FAQ's on Course Bidding Process using Registro Platform

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About Login into Registro Platform

  1. Which browser should I use to access the Course Bidding Portal?
    • Please use Google Chrome in Incognito mode.
  2. Can I use a mobile or iPad to log in to the Course Bidding portal?
    • It is recommended to use a laptop or a PC during the active bidding rounds. This makes it easier to navigate the portal when updating bids, adding courses, and dropping courses from your bidding consideration set.
  3. My login is not working. What can I do?

Scenario 1: Disable your ad blockers and ensure you are using Google Chrome in incognito mode. If the login issues persist, please contact Registro at

Scenario 2: Check if your email ID is registered in the system. The program office usually creates an account on your behalf. If your student account is not registered, the system will display a message indicating that you are not registered for the bidding term and you cannot log in.

Scenario 3: If your institute-specific credentials with Gmail or Microsoft Outlook are not working, try the following steps 1. Use the "Forgot password" on Registro Home page feature to receive a specific password for your account 2. Log in using your email as the username and the new password provided by Registro.

Bidding Process and Bid Points

  1. What is MRB?
    • MRB stands for Minimum Required Bid or the clearing price that allows you to win a course at a given moment of an active round. The MRB can increase with the demand for a course or stay the same.
  2. Can the MRB value be zero?
    • Yes, the MRB value can be zero if the number of students bidding is fewer than the total seats available.
  3. How can I reduce the bid points I have allotted?
    • You can reduce the bid points to the MRB level. For example, if the MRB is 50 points and you have placed 80 points, you can adjust your allocation to 50 points by entering the value in the bid cell.

Withdrawing Courses

  1. When can I withdraw a course from the Bidding Consideration Set?
    • You can withdraw from a losing course, and the bid points you placed will be reimbursed.
    • You can withdraw a winning course if you have placed zero bid points.
    • You cannot withdraw from a winning course if you have placed bid points greater than zero.
    • If the MRB is indicated as zero, you can reduce your bid points to zero and withdraw from a winning course.
  2. When can I withdraw from a winning course post a bidding round?
    • You can withdraw from a winning course after the bidding round is completed during the confirmation round.

Bid Points Management

  • Will my bid points be reimbursed if I lose a course in the bidding auction?
    • Yes, the points will be reimbursed.
  • Can I win a course with zero bid points?
    • Yes, if the demand for a course is less than the total available seats, you may win a seat with zero bid points. However, some institutes might require you to place a minimum bid of one point, so please check the policy.
  • Will my remaining bid points be carried forward to future semesters?
    • It depends on the policy of the university if it allows bid points to be carried forward.
Timetable Scheduling
5 Min

What are the challenges faced by university staff due to the lack of IT and automation systems for efficient timetable generation and management?

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University staff often face numerous challenges due to the lack of IT and automation systems for efficient timetable generation and management. Here are some key pain points:

  • Time-Consuming Manual Processes:
    • Manual creation and management of timetables is highly time-consuming.
    • Staff have to handle large volumes of data, including course schedules, room availability, and instructor preferences.
  • High Risk of Human Error:
    • Manual entry increases the likelihood of errors, such as scheduling conflicts, double bookings, and missed classes.
    • Correcting these errors is often tedious and can disrupt the academic schedule.
  • Complex Coordination:
    • Coordinating between different departments, faculty members, and administrative units without automated systems can be chaotic.
    • Miscommunication and delays are common, leading to inefficiencies.
  • Difficulty in Handling Changes:
    • Last-minute changes, such as faculty availability, room changes, or student enrollment shifts, are hard to manage manually.
    • Updating timetables quickly and accurately becomes a major challenge.
  • Limited Data Analysis:
    • Without IT systems, it is difficult to analyze data for optimization, such as identifying underutilized resources or peak usage times.
    • Lack of insights can lead to inefficient use of resources and facilities.
  • Inadequate Communication:
    • Informing students and faculty about timetable changes manually is inefficient and prone to delays.
    • Ensuring everyone is up-to-date requires significant effort.
  • Reduced Flexibility:
    • Manual systems are rigid and make it difficult to accommodate special requests, such as personalized schedules for students with special needs.
    • Flexibility in course offerings and scheduling is often compromised.
  • Resource Allocation Issues:
    • Proper allocation of classrooms, labs, and other facilities is challenging without automated systems.
    • This often results in some resources being overbooked while others remain underutilized.
  • Inconsistent Documentation:
    • Keeping accurate and consistent records of timetables is difficult.
    • Inconsistent documentation can cause problems for future planning and auditing purposes.
  • Increased Workload:
    • Administrative staff experience increased workloads due to the repetitive and manual nature of timetable management tasks.
    • This can lead to staff burnout and decreased job satisfaction.
  • Student Dissatisfaction:
    • Errors and inefficiencies in timetable management directly affect students, causing dissatisfaction and potentially impacting their academic performance.
    • Difficulties in accessing up-to-date schedules can inconvenience students.
  • Lack of Scalability:
    • As universities grow, managing timetables manually becomes increasingly impractical.
    • Scalability issues hinder the institution’s ability to expand and adapt to new requirements.

Addressing these pain points through the implementation of IT and automation systems can significantly enhance the efficiency and effectiveness of timetable generation and management in universities.

To Know more about Digitizing the Automation of the Course Demand Estimation and Timetable Generation Automation Process at your Institution write to us at

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Top 5 Question we get

How, What, Do you..

1. What are the primary objectives of implementing this analytics tool in Universities

1. Student Experience: Enhance the overall student experience by analyzing feedback, engagement metrics, and campus services usage.
2. Student Success and Retention:Monitor and improve student performance, retention rates, and graduation rates by identifying at-risk students and implementing targeted interventions.
3. Resource Allocation: Optimize the allocation of resources such as faculty, classrooms, and funding based on data-driven insights into usage patterns and needs.
4. Curriculum Development: Enhance and update curriculum based on analysis of student performance data, industry trends, and feedback.
5. Operational Efficiency: Streamline administrative processes, reduce costs, and improve the overall efficiency of university operations.
6. Research and Innovation: Support research activities by providing robust data analytics tools to analyze research data and foster innovation.
7. Enrollment Management: Improve recruitment strategies and enrollment processes by understanding demographic trends, applicant profiles, and admission yield rates.
8. Financial Planning: Inform financial decision-making and budget planning through detailed analysis of financial data and projections.
9. Compliance and Accreditation: Ensure compliance with accreditation standards and regulatory requirements by providing comprehensive data reporting and analysis.
10. Alumni Engagement: Track and analyze alumni data to improve engagement strategies, fundraising efforts, and alumni relations.

2. What specific analytics capabilities does the tool offer (e.g., predictive analytics, real-time data analysis, visualizations)?

In the context of university operations, the analytics tool offers the following specific capabilities:

1. Predictive Analytics: Identify at-risk students and predict their likelihood of success.Forecast enrollment trends and financial projections.Predict course demand to optimize scheduling and resource allocation.
2. Real-Time Data Analysis: Monitor real-time student engagement and participation.Track real-time resource usage such as library occupancy and lab equipment.Analyze real-time data from campus events and activities.
3. Data Visualizations: Create interactive dashboards for student performance, retention rates, and graduation rates.Visualize financial data, including budgeting and expenditures.Develop visual reports on faculty performance and research output.
4. Descriptive Analytics: Analyze historical data to understand past trends in enrollment, retention, and graduation.Evaluate the effectiveness of previous interventions and programs.Benchmark university performance against peer institutions.
5. Diagnostic Analytics: Identify factors contributing to student dropout rates.Analyze the causes of underperformance in specific courses or departments.Determine reasons for resource underutilization or overutilization.
6. Sentiment Analysis: Analyze student and faculty feedback from surveys and social media.Understand campus sentiment regarding policies, events, and services.
7. Operational Efficiency Analytics: Assess the efficiency of administrative processes and identify bottlenecks.Optimize maintenance schedules and facility management.
8. Custom Reporting: Generate customized reports for accreditation purposes and compliance requirements.Create tailored reports for different stakeholders, including faculty, administration, and trustees.
9. Geospatial Analytics: Analyze geographic data related to student demographics and recruitment efforts.Visualize campus safety and security data on maps.
10. Integration Capabilities: Integrate with existing university systems such as Learning Management Systems (LMS), Student Information Systems (SIS), and financial software.Enable seamless data flow and comprehensive analysis across various departments.These capabilities help universities make data-driven decisions, enhance student outcomes, and improve overall operational efficiency.

3. Are there examples or case studies of similar institutions successfully using this tool?

Yes, many universities have successfully implemented analytics tools to enhance their operations. Here are a few examples and case studies:

Tool: Tableau

- XLRI Jamshedpur
– The placement Convener and Office gleans complete insights into its end to end placements process outcomes through Tableau analytics dashboards 
- IIM Trichy  – The placementChairperson and Office obtain insights into its end to end placements process outcomes through Tableau analytics dashboards 
- The University of California, Irvine, leveraged Tableau for data visualization and analysis. The tool enabled the university to create interactive dashboards for tracking enrollment, financial data, and student outcomes, resulting in more informed decision-making.

4. What metrics and KPIs does the tool help track to ensure we meet our institutional goals?

An analytics tool for university operations can help track a variety of metrics and key performance indicators (KPIs) to ensure that institutional goals are met. These metrics and KPIs typically fall into several key areas:

1. Student Success and Retention:Retention Rates: Percentage of students who continue their studies from one year to the next.
a. Graduation Rates: Percentage of students who complete their degree programs within a specified time frame.
b. Course Completion Rates: Percentage of students who successfully complete courses they enroll in.
c. GPA Trends: Average GPA trends over time to monitor academic performance.
d. Student Engagement: Metrics such as class attendance, participation in extracurricular activities, and use of academic resources.

2. Enrollment Management:Application and Acceptance Rates: Number of applications received and the percentage of those accepted.
a. Enrollment Yield: Percentage of accepted students who enroll.
b.Demographic Data: Breakdown of student demographics including age, gender, ethnicity, and geographic origin.
c. Enrollment by Program: Number of students enrolled in each academic program.

3. Resource Allocation and Utilization:
a. Classroom Utilization Rates: Percentage of classroom space used versus available.
b. Faculty Workload: Distribution of teaching, research, and administrative responsibilities among faculty.
c. Library and Lab Usage: Frequency and extent of use of libraries and laboratories.

4. Financial Performance:Tuition Revenue: Income generated from student tuition fees.
a. Grant and Research Funding: Amount of funding received for research projects.
b. Expenditure Tracking: Analysis of expenses by department and category.
c. Cost per Student: Average cost of educating each student.

5. Operational Efficiency:
a. Administrative Process Efficiency: Time and resources required to complete administrative tasks.
b. Facility Maintenance Costs: Costs associated with maintaining campus facilities.
c. Energy Consumption: Metrics related to energy usage and sustainability initiatives.

5. How often is the tool updated to remain compliant with changing regulations?

To ensure the Analytics tool remains compliant, it is essential for universities to work closely with the tool provider, stay informed about regulatory changes, and actively participate in any offered training or update briefings. This collaboration helps in promptly addressing compliance needs and maintaining the integrity and reliability of the analytics tool.

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