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DPIIT Budget Allocation Analysis (FY2021–2025): Understanding Industrial Investment Priorities in India

Case Study: Infrastructure Budget Analysis – DPIIT (India)

DPIIT Budget Allocation Analysis
DPIIT Budget Allocation Analysis

Business Understanding

India’s Department for Promotion of Industry and Internal Trade (DPIIT), under the Ministry of Commerce and Industry, allocates funds annually for various industrial schemes such as Startup India, Make in India, NICDIT (Industrial Corridors), and IPR Promotion. This analysis was undertaken to:

  • Track how budget allocations evolved over 4+ years

  • Identify key funded schemes and priority shifts

  • Examine the efficiency of fund allocation (e.g., Establishment vs. Schemes)

  • Assist stakeholders in understanding how industrial priorities and government strategy are aligned

Data Understanding

The primary dataset originated from a PDF document from the Union Budget, detailing DPIIT’s yearly allocations across schemes and initiatives. Key challenges included:

  • Extracting semi-structured tables from PDF

  • Mapping multiple columns across budget types (BE, RE, Actual)

  • Identifying scheme categories (Establishment, CSS, etc.)

Cleaned dataset output: 135+ structured records
๐Ÿ“„ Columns: Scheme_Name, Year, Budget_Type, Amount_Cr, Category, Notes


๐Ÿ›  Technologies Used

Tool

Use Case

Python (Pandas, Tabula)

PDF extraction, data cleaning, CSV creation

Power BI

KPI dashboards, trend analysis, slicers

Excel

Quick verifications, formatting

GitHub

Version control, publishing project

VS Code

Development environment


๐Ÿงน Data Preparation

  1. PDF to CSV conversion using tabula-py and manual verification.

  2. Created a clean structure:

    • Mapped multi-year, multi-type columns (Actual, BE, RE)

    • Removed duplicate/empty rows

    • Added derived columns like YoY_Growth, Allocation_Trend, and Category

  3. Final dataset exported as dpiit_budget_analysis_full.csv


๐Ÿ“Š Data Analysis

Key Questions Addressed:

DPIIT Budget Analysis


1️⃣ How has allocation evolved over the years?

Scheme

FY 21-22

FY 24-25

Trend

Startup India (FoF)

₹1000 Cr

₹1470 Cr

⬆️ Up 47%

NICDIT (Industrial Corridors)

₹1104 Cr

₹500 Cr

๐Ÿ”ป Down 66%

IPR Promotion

₹360 Cr

₹318 Cr

๐Ÿ”ป Down 11%

๐Ÿ“ˆ Insight: Strategic funding toward startups, but decline in infrastructure & IPR reflects budget reallocation.

2️⃣ Ratio of Establishment Expenditure

Establishment (Secretariat + IP offices) accounted for ~14–18% of total budget yearly.

3️⃣ Top Funded Schemes (FY 2024-25)

  • Fund of Funds for Startups – ₹1470 Cr

  • GST Refund (NE/Himalayan) – ₹1382 Cr

  • IPR & PLI White Goods – ₹318 Cr, ₹298 Cr

4️⃣ Year-on-Year Budget Growth

Year

DPIIT Budget (Cr)

Growth YoY

FY21-22

₹6597

FY22-23

₹7194

+9.0%

FY23-24

₹7354

+2.2%

FY24-25

₹7462

+1.4%

๐Ÿง  Compared to India’s GDP growth (~6–7%), DPIIT’s budget grew slower, showing fiscal discipline.

5️⃣ MSME & IPR Focus Areas

  • MSME (Seed Fund): ₹175 Cr in FY25, steady rise

  • IPR: Down from ₹360 Cr to ₹318 Cr

⚠️ Need for consistent funding in innovation/IPR to sustain competitiveness.


๐Ÿ“ˆ Visualizations (Power BI Pages)

  • ๐Ÿ“„ Page 1: Executive Summary (KPIs, Line Trends, Donut by Category)

  • ๐Ÿ“Š Page 2: Scheme-wise Trends (Top Schemes, YoY Tables)

    budget type analysis

  • ๐Ÿ“ Page 3: Drilldown by Scheme Type, Region (if enriched)


๐Ÿ“‹ Summary of Results

  • ✅ Built a clean, structured dataset from unstructured PDF

  • ๐Ÿ” Delivered multi-year trend insights for each major industrial initiative

  • ๐Ÿ“Š Created interactive Power BI dashboard

  • ๐Ÿ“ˆ Revealed changing government priorities in startup & MSME support

  • ๐Ÿ“‰ Noted reduction in IPR/infrastructure allocations despite sectoral importance

Summary of Results
impact metrics alongside budget


๐Ÿ“Œ Recommendations

  • ๐Ÿงช Introduce impact metrics alongside budget (e.g., scheme outcomes, reach)

  • ๐Ÿ”„ Create year-on-year dashboards for continuous tracking

  • ๐Ÿงญ Recommend policy stakeholders to consider balance between establishment & capital expenditure

๐Ÿ“ฆ Project Status: ✅ Completed

๐Ÿ“ GitHub Repo: https://github.com/rkthedataanalyst/dpiit-budget-analysis
๐Ÿ“Š Power BI Dashboard: Available upon request
๐Ÿ—‚️ CSV Download: dpiit_budget_analysis_full.csv


๐Ÿ™Œ Credits

  • Source: Union Budget India PDF (Ministry of Finance)

  • Tools: Python, Power BI, GitHub

  • Special thanks to the OpenAI platform for NLP + visualization guidance Feel free to fork, suggest improvements, or reach out for collaboration!


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