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BI and Data Analytics for Education Law School

Our client was one of the world’s leading law schools located in the United States of America. They wanted to build robust BI and data analytics solutions to handle and utilize large volumes of student, faculty, admission, and other academic data. Hence, they approached us to streamline their data operations and enhance strategic planning and institutional insights.

  • Industry
    Education
  • Country
    USA
Technologies
Years In Business
36+
Years In Business
Projects Delivered
3000+
Projects Delivered
Happy Clients
200+
Happy Clients
Countries Served
40+
Countries Served

Business Goals

  • They wanted to consolidate data across various systems in one easily attainable location.
  • Searching for the trends of students and academics to make wiser decisions in an organization.
  • They sought to enhance the efficacy of employing databases in campaigns and personalized solicitations.
  • Our client required providing administrators with simple, easy-to-understand visuals for usage in academic and operational plans.

Challenges Faced by the Client

Data Fragmentation

Data Fragmentation

Currently, the data was spread across different systems like the admission system, customer relationship management system, and the financial system.

Data Accuracy and Completeness

Data Accuracy and Completeness

A constant problem that needed to be addressed was the quality of structured data originating from other sources of the enterprise.

Data Cleansing Requirements

Data Cleansing Requirements

The most critical task the client had to solve was to identify and control inaccurate or corrupt data that affected the reporting processes.

Visualization Needs

Visualization Needs

The leadership in admissions and management called for complicated graphical and analytical solutions to make the information more understandable.

  • Data Warehouse Creation

    We Developed common virtual repository to organize and store data drawn from different sources to increase its usability and credibility.

  • ETL Development with SSIS

    Utilized SSIS to obtain and transfer data into the warehouse because of the need to uphold the quality of data in the warehouse.

  • Interactive Tableau Dashboards

    Developed changeable Tableau dashboards to provide the admissions and management teams with useful, relevant, and targeted data visualizations.

  • Data Profiling and Cleansing

    Implemented rigorous data profiling and cleansing processes to ensure the accuracy and reliability of insights derived from the platform.

How We Tackled the Challenges

Project Glimpse

Features

Bar Exam Details
Bar Exam Details
Bar Exam Summary 
Bar Exam Summary
Application Summary 
Application Summary 
Retention & Graduation 
Summary 
Retention & Graduation
Summary
Enrolled Students' Data 
Enrolled Students' Data
Student Registration Trend 
Student Registration Trend
Exam Performance Insights
Exam Performance Insights
Student Progress Tracking 
Student Progress Tracking 

Work Process

01
Research & Analysis

First our team gathered and analyzed the client’s data requirements, so that a comprehensive understanding of the data and its usage by the end users was met.

02
Design

Closely worked to create a clean design and visually appealing and intuitive design patterns for the dashboards and the BI parts.

03
Development

Established the data warehouse together with ETL processes Tableau dashboards using the best of the available tools and approaches.

04
Testing

We did stringent quality assurance tests to check the credibility, and integrity of data as it was one of the most crucial parts for us.

05
Launch

Finally, we successfully implemented the solution and made sure that support and training services were offered on a timely basis.

Results

  • 01.
    Enhanced Insights

    Provided the institution with detailed historical data insights to inform strategic decision-making.

  • 02.
    Improved Program Planning

    Helped the school to observe student retention rates and match new programs with the demands of students.

  • 03.
    Targeted Marketing

    Analyzed application patterns with a view to making informed decisions in the conception of outreach campaigns targeted at segments.

  • 04.
    Performance Benchmarking

    Allowed the school to benchmark its results against peer institutions, identifying areas for improvement.

Let’s get in touch!