27. 20 Industry Projects
Friends, this module is where everything comes together. Twenty industries, one pattern: a Table, a calculated column, KPI formulas, a PivotTable by City, a chart and a one-page dashboard. Every project shows the expected numbers so you can check your work.
मित्रांनो, या module मध्ये सगळं एकत्र येतं. वीस industries, एकच pattern: एक Table, एक calculated column, KPI formulas, City प्रमाणे PivotTable, एक chart आणि एका पानाचा dashboard. प्रत्येक project मध्ये expected आकडे दिले आहेत, म्हणजे तुम्ही तुमचं काम check करू शकता.
दोस्तों, इस module में सब कुछ एक साथ आता है. बीस industries, एक ही pattern: एक Table, एक calculated column, KPI formulas, City के हिसाब से PivotTable, एक chart और एक पन्ने का dashboard. हर project में expected आँकड़े दिए हैं, ताकि आप अपना काम check कर सकें.
What you will learn in this module
- Turn a short business brief into a Table with calculated columns
- Write KPI formulas with SUM, SUMIFS, COUNTIF, AVERAGEIFS and ratios of sums
- Summarise by City with a PivotTable and check it against the expected table
- Add a PivotChart and a slicer and arrange a one-page dashboard
- Use the practice template and guide for each industry
Live story: Twenty jobs, one method
Suppose Salman is preparing for analyst interviews. Each interviewer asks about a different industry: banking, hotels, telecom. Because he has built the same Table → KPI → PivotTable → dashboard pattern twenty times, he answers each case calmly and shows a working file.
All numbers in this story are fictional practice data.
Live story: वीस नोकऱ्या, एकच पद्धत
समजा Salman analyst interviews ची तयारी करतो आहे. प्रत्येक interviewer वेगळ्या industry बद्दल विचारतो: banking, hotels, telecom. त्याने Table → KPI → PivotTable → dashboard हाच pattern वीस वेळा बनवला असल्याने तो प्रत्येक case शांतपणे सांगतो आणि चालणारी file दाखवतो.
या story मधले सगळे आकडे काल्पनिक practice data आहेत.
Live story: बीस नौकरियाँ, एक तरीका
मान लीजिए Salman analyst interviews की तैयारी कर रहा है. हर interviewer अलग industry के बारे में पूछता है: banking, hotels, telecom. उसने Table → KPI → PivotTable → dashboard वाला pattern बीस बार बनाया है, इसलिए वह हर case शांति से बताता है और चलती हुई file दिखाता है.
इस story के सारे आँकड़े काल्पनिक practice data हैं.
Fictional practice data
Every name, number and company detail in this module is made up for class. It is not the data of Blinkit, Amazon or any real firm.
Templates and guides. Each project links a practice template (
/excel/templates/<Name>_Template.xlsx) and a step-by-step template guide (/guides/excel-template-<name>.html). These files are published separately; if one is not available yet, build the project from the table on this page. Ten projects also link a related ready-made industry dashboard.
Concepts in this chapter
- 27.1Retail and Quick Commerce: City Sales and On-Time Delivery
- 27.2E-commerce: Gross Sales, Returns and Net Sales
- 27.3Sales: Target vs Actual by Sales Rep
- 27.4Finance and Accounting: Budget vs Actual Variance
- 27.5Banking: Loan Book and NPA Tracker
- 27.6Insurance: Premium, Claims and Loss Ratio
- 27.7Healthcare: Hospital Revenue and Length of Stay
- 27.8Pharma: Stock Value and Near-Expiry Batches
- 27.9Manufacturing: Production Attainment and Rejects
- 27.10Inventory and Supply Chain: Days of Cover and Reorder List
- 27.11Logistics: On-Time Delivery by Route
- 27.12HR: Headcount, Attrition and Salary
- 27.13Marketing and Digital Ads: Campaign ROAS and Cost per Order
- 27.14Education: Pass Rate, Scores and Attendance
- 27.15Hospitality: Occupancy, ADR and RevPAR
- 27.16Restaurants: Spend per Cover and Food Cost
- 27.17Real Estate: Units Sold and Price per Square Foot
- 27.18Telecom: Churn, ARPU and Data Usage
- 27.19IT Services: Utilisation and Billing
- 27.20Government and NGO: Fund Utilisation and Cost per Beneficiary
Review and practice
The chapter recap is at the end of the last concept page.