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CMA Inter Paper - 11 Financial Management and Business Data Analytics for Dec.26, Jun.27

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CMA Inter Paper - 11 Financial Management and Business Data Analytics for Dec.26, Jun.27

CMA Inter Paper - 11 Financial Management and Business Data Analytics for Dec.26, Jun.27

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Product description

Shop CMA Inter books & solved papers at ScannerAdda. Trusted study tools for Group 1 & 2 with updated content & exam-focused preparation.

📘 CMA Inter– Paper 11 Financial Management and Business Data Analytics Scanner (70th Edition)
     For Dec. 26 & Jun. 27 Exams

📚 Publisher: Shuchita Prakashan Pvt. Ltd. | Scanner Series

Smarter than a question bank—this Scanner shows what to study and where to focus with ICMAI -aligned content, trend insights, and fully updated solutions.

📌 Key Highlights:

 Covers ICMAI content (Solved Questions from past 23 exams up to Dec. 2026)

 7 MQPs with Updated Solutions
  Chapter and Topic-wise Questions
Video Solutions Available Upon Request
Star Rating of Chapters with ABC Analysis
Chapter-wise Marks & Paper Trend Analysis
Video Study Material Provided on LMS
      • MCQs (Multiple Choice Question) • PYQs (Past Year Question)

  Unique trend tools:
* Chapter Marks Trend Graph
* Chapter-Wise Marks Analysis
* Chapter-wise Compulsory Questions Analysis
* Paper trend analysis (last 1 exams)
 Question-type classification:

• Distinguish Between • Descriptive Questions • Objective Questions •Short Notes
• Practical Questions

 Revision-friendly layout with progress tracker & QR codes for bonus content

 📘 Content Coverage:
Section A: 
Financial Management
Fundamentals of Financial Management
Institutions and Instruments in Financial Markets

  • Financial Institutions
  • Capital Market
  • Money Market

  Tools for Financial Analyses

  Sources of Finance and Cost of Capital

  • Source of Finance
  • Cost of Capital

  Capital Budgeting

  Working Capital Management

  Financing Decisions of a Firm

  • Capital Structure and Capital Stacking
  • Leverage and EBIT-EPS Analysis
  • Dividend Decisions and Dividend Theories

Section B: Business Data Analytics

  Introduction to Data Science for Business Decision-Making

  Data Processing, Organisation, Cleaning and Validation

  Data Presentation: Visualization and Graphical Presentation

  Data Analysis and Modelling

  Multi-Chapter / Integrated Objective Questions…..and much more

Who is This Book For?

• First-time students who want structured guidance

• Repeaters who need trend-based insights

• Anyone looking for topic-wise clarity—not just solved Qs

🛒 Buy now and make your exam prep a strategic journey, not a guessing game.