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Solved Business Case Study for Analytics

Solved Business Case Study for Analytics

Target job roles – Business Analyst, Data Analyst, Data Scientist, Business Intelligence Engineer, Product Analyst, Machine Learning Engineer, Data Engineer

Target Companies – FAANG and only product-based companies

CTC offered –
12 to 20 LPA for Level 1 (0 to 4 YOE)
20 to 35 LPA for Level 2 (Senior level – 4 to 7 YOE )
35 to 50 LPA for Level 3 (Team Lead or Manager – 7 to 9 YOE)
50 to 80 LPA for Level 4 (Manager or Senior Manager – 9 to 12 YOE)

Tools and Technologies required
SQL – 9/10
Python – 7/10
Visualization tool (Power BI or Tableau) – Good to have
Machine Learning Algorithm – Expert in at least a couple of algorithms (if going for a Data Science role)

Solved Business Case Study for Analytics

Solved Business Case Study for Analytics
Solved Business Case Study for Analytics

Top 20 KPIs for e-commerce Companies

Revenue: The total income generated by the e-commerce business.

Average Order Value (AOV): The average value of each order placed on the website.

Conversion Rate: The percentage of visitors who make a purchase on the website.

Customer Lifetime Value (CLV): The total value of all future purchases made by a customer.

Gross Profit Margin: The difference between revenue and the cost of goods sold, expressed as a percentage of revenue.

Return on Ad Spend (ROAS): The amount of revenue generated for every dollar spent on advertising.

Cart Abandonment Rate: The percentage of visitors who add items to their cart but do not complete the purchase.

Customer Acquisition Cost (CAC): The cost of acquiring a new customer, including advertising, marketing, and sales expenses.

Customer Retention Rate: The percentage of customers who return to make a repeat purchase.

Net Promoter Score (NPS): A metric that measures customer satisfaction and loyalty by asking how likely customers are to recommend the business to others.

Email Open Rate: The percentage of subscribers who open an email from the business.

Email Click-Through Rate (CTR): The percentage of subscribers who click on a link in an email from the business.

Average Time on Site: The average amount of time visitors spend on the website.

Bounce Rate: The percentage of visitors who leave the website after viewing only one page.

Social Media Engagement: The number of likes, comments, shares, and other interactions on the business’s social media accounts.

Search Engine Optimization (SEO) Ranking: The website’s position in search engine results for relevant keywords.

Mobile Responsiveness: The website’s ability to adapt to different screen sizes and devices.

Fulfillment Time: The time it takes to process and ship orders to customers.

Customer Service Response Time: The time it takes for customer service to respond to inquiries or complaints.

Inventory Turnover: The rate at which inventory is sold and replaced during a given period.

We have 100 case studies and guesstimate completely solved that are repeatedly asked in Analytics Interview. Do check it out.

Top 20 KPIs for Mytnra

Gross Merchandise Value (GMV): The total value of merchandise sold on the platform.

Revenue: The total income generated by Myntra, including commissions, fees, and other sources.

Average Order Value (AOV): The average value of each order placed on the platform.

Conversion Rate: The percentage of visitors who make a purchase on the platform.

Return on Ad Spend (ROAS): The amount of revenue generated for every rupee spent on advertising.

Customer Lifetime Value (CLV): The total value of all future purchases made by a customer on the platform.

Customer Acquisition Cost (CAC): The cost of acquiring a new customer, including advertising, marketing, and sales expenses.

Customer Retention Rate: The percentage of customers who return to make a repeat purchase on the platform.

Net Promoter Score (NPS): A metric that measures customer satisfaction and loyalty by asking how likely customers are to recommend Myntra to others.

Cart Abandonment Rate: The percentage of visitors who add items to their cart but do not complete the purchase.

Email Open Rate: The percentage of subscribers who open an email from Myntra.

Email Click-Through Rate (CTR): The percentage of subscribers who click on a link in an email from Myntra.

Social Media Engagement: The number of likes, comments, shares, and other interactions on Myntra’s social media accounts.

Mobile Responsiveness: The platform’s ability to adapt to different screen sizes and devices.

Search Engine Optimization (SEO) Ranking: The platform’s position in search engine results for relevant keywords.

Average Time on Site: The average amount of time visitors spend on the Myntra platform.

Bounce Rate: The percentage of visitors who leave the platform after viewing only one page.

Fulfillment Time: The time it takes to process and ship orders to customers.

Customer Service Response Time: The time it takes for customer service to respond to inquiries or complaints.

Inventory Turnover: The rate at which inventory is sold and replaced on the Myntra platform.

We have 100 case studies and guesstimate completely solved that are repeatedly asked in Analytics Interview. Do check it out.

Top 20 KPIs for OYO rooms

Room Nights Sold: The total number of room nights booked across all OYO properties.

Revenue: The total income generated by OYO Rooms from bookings, fees, and other sources.

Average Daily Rate (ADR): The average rate per night for OYO properties.

Occupancy Rate: The percentage of available rooms that are occupied by guests.

Customer Lifetime Value (CLV): The total value of all future bookings made by a customer with OYO Rooms.

Net Promoter Score (NPS): A metric that measures customer satisfaction and loyalty by asking how likely customers are to recommend OYO Rooms to others.

Customer Acquisition Cost (CAC): The cost of acquiring a new customer, including advertising, marketing, and sales expenses.

Customer Retention Rate: The percentage of customers who return to book another stay with OYO Rooms.

Average Length of Stay: The average number of nights guests stay at an OYO property.

Repeat Guest Rate: The percentage of bookings made by guests who have stayed at an OYO property before.

Review Scores: The average score given by guests in reviews and ratings on online platforms.

Website Traffic: The number of visitors to the OYO Rooms website and mobile app.

Mobile Responsiveness: The website and app’s ability to adapt to different screen sizes and devices.

Search Engine Optimization (SEO) Ranking: The website’s position in search engine results for relevant keywords.

Social Media Engagement: The number of likes, comments, shares, and other interactions on OYO Rooms’ social media accounts.

Conversion Rate: The percentage of visitors who make a booking on the OYO Rooms website or app.

Abandoned Bookings Rate: The percentage of visitors who start but do not complete a booking on the OYO Rooms website or app.

Cancelled Bookings Rate: The percentage of bookings that are cancelled by guests before the check-in date.

Revenue per Available Room (RevPAR): The total revenue generated per available room at OYO properties.

Housekeeping and Maintenance Quality: The cleanliness and maintenance standards of OYO properties, as rated by guests.

We have 100 case studies and guesstimate completely solved that are repeatedly asked in Analytics Interview. Do check it out.

Top 20 KPIs for Swiggy

Number of Orders: The total number of orders placed on the Swiggy platform.

Gross Merchandise Value (GMV): The total value of food orders placed on the platform.

Revenue: The total income generated by Swiggy, including commissions, fees, and other sources.

Average Order Value (AOV): The average value of each food order placed on the platform.

Customer Lifetime Value (CLV): The total value of all future orders made by a customer on the platform.

Customer Acquisition Cost (CAC): The cost of acquiring a new customer, including advertising, marketing, and sales expenses.

Customer Retention Rate: The percentage of customers who return to make a repeat order on the platform.

Net Promoter Score (NPS): A metric that measures customer satisfaction and loyalty by asking how likely customers are to recommend Swiggy to others.

Order Accuracy: The percentage of orders that are delivered accurately and without errors.

Delivery Time: The time it takes for an order to be delivered to the customer.

Delivery Fulfillment Rate: The percentage of orders that are successfully delivered to the customer.

Repeat Order Rate: The percentage of customers who place a repeat order on the platform.

Average Time to Accept an Order: The average time it takes for a restaurant to accept an order on the platform.

Restaurant Response Time: The time it takes for a restaurant to respond to an order placed on the platform.

Order Cancellation Rate: The percentage of orders that are cancelled by either the customer or the restaurant.

Average Time on Site: The average amount of time visitors spend on the Swiggy platform.

Bounce Rate: The percentage of visitors who leave the platform after viewing only one page.

Social Media Engagement: The number of likes, comments, shares, and other interactions on Swiggy’s social media accounts.

Mobile Responsiveness: The platform’s ability to adapt to different screen sizes and devices.

Search Engine Optimization (SEO) Ranking: The platform’s position in search engine results for relevant keywords.

We have 100 case studies and guesstimate completely solved that are repeatedly asked in Analytics Interview. Do check it out.

Top 20 KPIs for Netflix

Subscriber Count: The total number of subscribers to the Netflix platform.

Average Revenue per User (ARPU): The average amount of revenue generated per subscriber.

Customer Lifetime Value (CLV): The total value of all future subscription payments made by a customer to Netflix.

Net Promoter Score (NPS): A metric that measures customer satisfaction and loyalty by asking how likely customers are to recommend Netflix to others.

Churn Rate: The percentage of subscribers who cancel their subscription to Netflix.

Retention Rate: The percentage of subscribers who renew their subscription after the initial sign-up period.

Monthly Active Users (MAU): The number of unique users who access the Netflix platform each month.

Streaming Hours: The total number of hours of content streamed on the platform.

Content Library Size: The number of movies, TV shows, and documentaries available on the Netflix platform.

Cost of Content: The total amount spent by Netflix on producing and acquiring content.

Content Acquisition Rate: The rate at which Netflix acquires new content for the platform.

Content Renewal Rate: The rate at which Netflix renews existing content licenses.

Content Engagement: The number of views, likes, comments, and shares for each piece of content on the platform.

Content Rating: The average rating of content on the platform, as rated by viewers.

Website Traffic: The number of visitors to the Netflix website and mobile app.

Mobile Responsiveness: The website and app’s ability to adapt to different screen sizes and devices.

Search Engine Optimization (SEO) Ranking: The website’s position in search engine results for relevant keywords.

Social Media Engagement: The number of likes, comments, shares, and other interactions on Netflix’s social media accounts.

Conversion Rate: The percentage of website visitors who sign up for a free trial or subscription on the Netflix platform.

We have 100 case studies and guesstimate completely solved that are repeatedly asked in Analytics Interview. Do check it out.

We have released our Become a Full Stack Analytics Professional for anyone in 2nd year of graduation to 8-10 YOE. This book contains 23 topics and each topic is divided into 50/100/200/250 questions and answers. Pick the book and read it thrice, learn it, and appear in the interview.

Why The Data Monk?

We are a group of 30+ people with ~8 years of Analytics experience in product-based companies. We take interviews on a daily basis for our organization and we very well know what is asked in the interviews.
Other skill enhancer website charge 2lakh+ GST for courses ranging from 10 to 15 months.

We only focus on making you a clear interview with ease. We have released our Become a Full Stack Analytics Professional for anyone in 2nd year of graduation to 8-10 YOE. This book contains 23 topics and each topic is divided into 50/100/200/250 questions and answers. Pick the book and read it thrice, learn it, and appear in the interview.

We also have a complete Analytics interview package
2200 questions ebook (Rs.1999) + 23 ebook bundle for Data Science and Analyst role (Rs.1999)
4 one-hour mock interviews, every Saturday (top mate – Rs.1000 per interview)
4 career guidance sessions, 30 mins each on every Sunday (top mate – Rs.500 per session)
Resume review and improvement (Top mate – Rs.500 per review)

Total cost – Rs.10500
Discounted price – Rs. 9000


How to avail of this offer?
Send a mail to [email protected]

The Data Monk Product and Services

  1. Youtube Channel covering all the interview-related important topics in SQL, Python, MS Excel, Machine Learning Algorithm, Statistics, and Direct Interview Questions
    Link – The Data Monk Youtube Channel
  2. Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study
    Link – The Data Monk website
  3. E-book shop – We have 70+ e-books available on our website and 3 bundles covering 2000+ solved interview questions
    Link – The Data E-shop Page
  4. Mock Interviews
    Book a slot on Top Mate
  5. Career Guidance/Mentorship
    Book a slot on Top Mate
  6. Resume-making and review
    Book a slot on Top Mate 

The Data Monk e-book Bundle 

1.For Fresher to 7 Years of Experience
2000+ interview questions on 12 ML Algorithm,AWS, PCA, Data Preprocessing, Python, Numpy, Pandas, and 100s of case studies

2. For Fresher to 1-3 Years of Experience
Crack any analytics or data science interview with our 1400+ interview questions which focus on multiple domains i.e. SQL, R, Python, Machine Learning, Statistics, and Visualization

3.For 2-5 Years of Experience
1200+ Interview Questions on all the important Machine Learning algorithms (including complete Python code) Ada Boost, CNN, ANN, Forecasting (ARIMA, SARIM

About TheDataMonkGrand Master

I am the Co-Founder of The Data Monk. I have a total of 6+ years of analytics experience 3+ years at Mu Sigma 2 years at OYO 1 year and counting at The Data Monk I am an active trader and a logically sarcastic idiot :)

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