A Complete Guide to Business Analysis - Using Data Analysis to Solve Business Problems

A Complete Guide to Business Analysis - Using Data Analysis to Solve Business Problems Resource Introduction:

Data analysis ability is an essential skill in modern business society. Whether it is product, operation, sales, marketing, risk control, or supply chain management, you need to speak with data and have the ability to quantify work assessment, analyze work problems, and make scientific plans. Professional data analysts need to have the ability to use data to solve business problems and create value for the company.

This course is a simple discussion on how to use data analysis methods to solve business problems.

Course Catalog

Lesson 1 Introduction.mp4

01Chapter 1: Introduction

Lesson 2: The relationship and difference between business analysis, data analysis, data mining and artificial intelligence.mp4

Lesson 3 Data analysis practitioners, how to embark on the road of business analysis.mp4

Lesson 4: How many business analysis skills do product, operation, sales, marketing, risk control, and supply chain managers need to master?

02Chapter 2: Concepts - How data analysis helps companies solve business problems

Lesson 05 A popular case: How to interpret business data (Part 1).mp4

Lesson 06 A popular case: How to interpret business data (Part 2).mp4

Lesson 07 A popular case: How to conduct business analysis.mp4

Lesson 08: A common case: How to analyze business problems in depth (Part 1) .mp4

Lesson 09: A common case: How to analyze business problems in depth (Part 2) .mp4

Lesson 10: Start by understanding the business model (Part 1) .mp4

Lesson 11: Start by understanding the business model (Part 2).mp4

Lesson 12: Decision-making process in specific business links (Part 1).mp4

Lesson 13: Decision-making process of specific business links (Part 2).mp4

Lesson 14: Common Problems in Business Decision Making.mp4

Lesson 15: What can data analysis do (Part 1).mp4

Lesson 16: What can data analysis do (Part 2) .mp4

Lesson 17: What business problems can data analysis solve?

Lesson 18: What business problems can’t be solved by data analysis (Part 1).mp4

Lesson 19: What business problems can’t be solved by data analysis (Part 2).mp4

Lesson 20: Solving business problems, how data analysis works (Part 1).mp4

Lesson 21: Solving business problems, how data analysis works (Part 2) .mp4

Lesson 22: Presentation of the output of business analysis (Part 1).mp4

Lesson 23: Presentation of the output of business analysis (Part 2).mp4

03Chapter 3: Thinking - How to find ideas for analyzing business problems

Lesson 24: Primary Operation: Let’s look at a simple question first.mp4

Lesson 25: Basic Operations: Understanding Data Indicators and Finding the Business Meaning of Indicators.mp4

Lesson 26: Basic Operations: Understanding Data Indicators and Finding the Business Meaning of Indicators Part 2.mp4

Lesson 27: Basic Operations: Understanding Data Indicators and Finding the Business Meaning of Indicators Part 3.mp4

Lesson 28: Basic Operation: Build an indicator system and connect isolated indicators.mp4

Lesson 29: Primary Analysis: A simple way to find standards, data + standards = judgment.mp4

Lesson 30: Primary Analysis: Speculate Causes and Find Problems.mp4

Lesson 31: Elementary Analysis: Reasonable Assumptions, Predicting the Direction of Problems.mp4

Lesson 32: Summary of Basic Analytical Skills.mp4

Lesson 33: Intermediate analysis, starting with adding process indicators (see a simple example).mp4

Lesson 34: Intermediate Analysis, Funnel Analysis.mp4

Lesson 35: Intermediate Analysis, Structural Analysis Method.mp4

Lesson 36: Intermediate analysis, basic ideas for making suggestions.mp4

Lesson 37: Intermediate Analysis: An Introduction to Further Depth.mp4

Lesson 38: Intermediate Analysis: Looking at a Multidimensional Example.mp4

Lesson 39: Intermediate Analysis: Single Dimension Classification (Cutting Method).mp4

Lesson 40: Intermediate Analysis: Two-Dimensional Classification (Matrix Method, Group Comparison Method).mp4

Lesson 41: Intermediate Analysis: An Introduction to Further In-depth Analysis.mp4

Lesson 42: Intermediate Analysis: More Complex Examples (Multi-Dimensional, Multi-Process).mp4

Lesson 43: Intermediate Analysis: The Order of Breaking Down Problems.mp4

Lesson 44: Intermediate Analysis: Designing Routes for Deeper Digging.mp4

Lesson 45: Intermediate Analysis: Labeling Business and Inferring Business Scenarios.mp4

Lesson 46: Intermediate Analysis: Solve the macro issues and then go into the details.mp4

Lesson 47: Intermediate Analysis: Multi-dimensional and multi-time suggestions.mp4

Lesson 48: Advanced Analysis: Let’s warm up with a simple question.mp4

Lesson 49: Advanced Analysis: Basic Methods for Building Analytical Ideas.mp4

Lesson 50: Advanced Analysis: Basic Principles of Sales Analysis.mp4

Lesson 51: Advanced Analysis: Basic Principles of User Analysis.mp4

Lesson 52: Advanced Analysis: Basic Principles of Promotion Analysis.mp4

Lesson 53: Advanced Analysis: The Fundamentals of Comprehensive Strategic Recommendations.mp4

Lesson 54: Advanced Analysis: Really Complex Problems Look Like This.mp4

Lesson 55: Advanced Analysis: Sorting out the current situation of the problem (5w2h analysis method) 1.mp4

Lesson 56: Advanced Analysis: Sorting out the current situation of the problem (5w2h analysis method) Part 2.mp4

Lesson 57: Advanced Analysis: Constructing Analysis Logic (Logical Tree Method).mp4

Lesson 58: Advanced Analysis: Analyzing the Impact of Macroeconomic Factors (Trend Analysis Method).mp4

Lesson 59: Advanced Analysis: The order of finding internal answers under multiple influencing factors.mp4

Lesson 60: Advanced Analysis: Hypothesis Testing and Trend Forecasting (Part 1).mp4

Lesson 61: Advanced Analysis: Hypothesis Testing and Trend Forecasting (Part 2).mp4

Lesson 62: Advanced Analysis: Comprehensive Reporting Methods.mp4

Lesson 63: Summary of Advanced Analysis: The most advanced analysis is systematic operation.mp4

04Chapter 4: Tools - Six tools for analyzing business problems

Lesson 64: Warm-up: Think about a simple business problem (repeated with Lesson 66, not officially fixed).mp4

Lesson 65: Six basic tools for business analysis.mp4

Lesson 66: Tool 1: Concept, Function and Basic Methods of Data Report.mp4

Lesson 67: Tool 2: Concepts, functions and basic methods of topic analysis.mp4

Lesson 68: Tool 3: Concepts, Functions and Basic Methods of Qualitative Interviews.mp4

Lesson 69: Tool 3 Qualitative Interview-Internal Communication Method.mp4

Lesson 70: Tool 3 Qualitative Interview - User Interview Method (Part 1).mp4

Lesson 71: Tool 3 Qualitative Interview - User Interview Method (Part 2).mp4

Lesson 72: Tool 3 Qualitative Interview-Competitor Information Collection.mp4

Lesson 73: Tool 4: Concept, Function and Basic Method of Quantitative Questionnaire.mp4

Lesson 74: Tools Five Industry Research Concepts, Functions, and Basic Methods.mp4

Lesson 75: Tool 6 Data Model Concepts and Basic Methods.mp4

Lesson 76: Applicable scenarios of six tools.mp4

Lesson 77: Six types of tools applicable to different industries.mp4

Lesson 78: How to conduct analysis under limited conditions.mp4

Lesson 79: A soul-searching question: Why can’t you analyze anything?

05Chapter 5: Routine - Commonly used business analysis indicators and analysis routines

Lesson 80: What is a business analysis system?

Lesson 81: Business Analysis System Examples for Traditional Enterprises.mp4

Lesson 82: Business Analysis System Example for Traditional Enterprises.mp4

Lesson 83: Business Analysis System Example (Internet Enterprise).mp4

Lesson 84: Why does your company not have an analysis system?

Lesson 85: How the Business Analysis System Works.mp4

Lesson 86: Common indicators and practices of business analysis.mp4

Lesson 87: Common indicators and practices of sales analysis.mp4

Lesson 88: Common indicators and practices of user analysis-Part 1.mp4

Lesson 89: Common indicators and practices of user analysis-Part 2.mp4

Lesson 90: Common indicators and practices of activity analysis-Part 1.mp4

Lesson 91: Common indicators and practices for activity analysis - Part 2.mp4

Lesson 92: Common indicators and practices of content analysis-Part 1.mp4

Lesson 93: Common indicators and practices of content analysis-Part 2.mp4

Lesson 94: Common indicators and practices of commodity analysis-Part 1.mp4

Lesson 95: Common indicators and practices of commodity analysis-Part 2.mp4

Lesson 96: Common indicators and practices of traffic analysis.mp4

Lesson 97: How to build an analysis system from scratch.mp4