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Data Analytics
Case Studies: NextLeap, Swiggy

Real-world case studies are essential to understanding how Tableau’s dashboards, stories, and visual analytics capabilities are applied to solve business challenges. Below are two diverse examples—NextLeap, a modern ed-tech startup, and Swiggy, a major player in the Indian food delivery ecosystem. These case studies showcase how organizations use data storytelling and interactivity to drive decisions.


Case Study 1: NextLeap – Tracking Student Performance & Engagement

 

Background:


NextLeap is an online learning platform offering career transition programs, primarily in the tech domain. As a digital-first business, it depends heavily on user data to evaluate program success, student progress, and mentor impact.

 

Data Challenges:

 

  • Difficulty in monitoring student engagement across multiple cohorts.
  • Lack of clarity around module-wise performance and drop-off rates.
  • Need for transparent feedback loops between mentors and program coordinators.

 

Tableau Solution:

NextLeap created interactive dashboards to monitor real-time metrics across cohorts, such as:

 

  • Student attendance and participation in live sessions.
  • Quiz scores and assignment submissions over time.
  • Mentor feedback ratings mapped against learner outcomes.

 

Impact:

 

  • Program teams used filters and highlight actions to zoom into underperforming students or modules.
  • Parameters enabled comparison between different batches, mentors, or program versions.
  • Story Boards were used in internal reviews to narrate cohort journeys from onboarding to placement.

 

These dashboards helped optimize academic content and allocate mentor support more strategically—resulting in improved learner outcomes and reduced drop-offs.


Case Study 2: Swiggy – Optimizing Delivery Operations with Data Stories

 

Background:


Swiggy, one of India’s largest online food delivery services, handles millions of orders daily. It faces challenges in managing operational efficiency, delivery times, and customer satisfaction across hundreds of cities.

 

Data Challenges:

 

  • Overwhelming volume of real-time data from restaurants, delivery partners, and customers.
  • Need for dynamic tracking of delivery performance at city, zone, and partner levels.
  • Difficulty in identifying root causes behind delayed or canceled orders.

 

Tableau Solution:

Swiggy implemented dashboard-based systems that integrated real-time delivery metrics with historical trends, such as:

 

  • Average delivery time segmented by city and time of day.
  • Order cancellation heatmaps categorized by restaurant partners.
  • Customer feedback analysis using dashboard filters and highlight actions.

 

Advanced Features Used:

 

  • Parameters allowed internal teams to simulate “what-if” scenarios like surge pricing or rain delays.
  • LOD Expressions were used to compare peak-hour performance across months.
  • Story Boards helped operational teams communicate insights to regional heads, guiding strategy shifts.

 

Impact:

Swiggy was able to proactively adjust staffing during high-demand periods, identify delivery bottlenecks, and strengthen restaurant partnerships—ultimately enhancing both speed and customer satisfaction.


Conclusion

These case studies highlight how Tableau is not just a visualization tool, but a strategic platform for business storytelling. Whether it’s a startup like NextLeap improving education outcomes or a giant like Swiggy streamlining logistics, interactive dashboards, parameters, and storyboards enable organizations to explore, interpret, and act on data more effectively.

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