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Shoeisha Co., Ltd.
| Address | 5 Funamachi Shinjuku-ku Tokyo, JAPAN ZIP:160-0006 |
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SD item code:12978956
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Eight Hundred, Tomoyuki Shibuya (Author)
 Original text before translation
エイトハンドレッド、渋谷 智之 (著)
(182160)
JAN:9784798182162
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(182160)
JAN:9784798182162
Wholesale Price: Members Only
1 pc /set
In Stock
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| Shipping Date |
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About 1 week
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| Dimensions |
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Format:A5
Number of pages:380 |
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Country of manufacture: Japan
Material / component: Format:Book (paper)
Year of manufacture: 2024
Product tag: None
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Description
| A practical book on data analysis with a focus on reporting! This book aims to explain the fundamentals of data analysis in an easy-to-understand manner, and to provide the knowledge and practical methods to apply it to your own business. Now that data utilization has become an urgent issue for many companies, companies have begun to set up in-house data analysis projects and work on them in a cross-organizational structure. With a shortage of data scientists and other specialists, it is not uncommon for IT engineers and people from marketing and other business departments to conduct data analysis. Therefore, this book explains the [basic knowledge of data analysis] that both IT and business department members involved in a project should acquire as [common knowledge] [common language], with a focus on reporting. It is not based on specific tools or programming languages, and once acquired, it can be used for a lifetime. The author is Tomoyuki Shibuya, a long-time employee of Macromill, which provides marketing support to more than 3,000 companies annually, and is currently engaged in promoting corporate data utilization and supporting human resource development at its group company, Eight Hundred. [How to connect business and data?] [What is data analysis that contributes to decision making?] He systematically explains data analysis while keeping in mind the viewpoints of "How do we connect business and data? [Recommended for... ] *Those who have decided to conduct data analysis but do not know where to start. *Those who have been asked "What on earth is data analysis for? Those who are struggling with setting up the problem in the first place. *Those who have knowledge of statistical methods and programming skills, but the analysis results do not lead to decision making. *Management level personnel who are in a position to oversee data analysis projects. [Goals of this book] *Understand the steps of data analysis for decision support. *Understand how to connect business, data, and analysis results. *Understand how to conduct data analysis with a high probability of success and the appropriate analytical methods. *Be able to create good reports and explain them in an easy-to-understand manner [The structure of this book] Chapter 1: Data Utilization in the DX Era Chapter 2: Overview of [Data Analysis] Steps Chapter 3 [STEP1&2] Clarify the question to be solved *Create an analysis story Chapter 4: Business Knowledge Required for Data Analysis (First Half) Chapter 5: Business Knowledge Required for Data Analysis (Second Half) Chapter 6 [STEP3] Data Collection * Pre-processing Chapter 7 [STEP4] Interpretation*Discussion through data comparison Chapter 8 [STEP4] Expanding the Range of Data Analysis [Statistical Analysis] Chapter 9 [STEP5] Reporting & Presentation Chapter 10: Basic Understanding of AI*Machine Learning |
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| Shipping Method | Estimated Arrival |
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| Sea Mail | From Feb.13th 2026 to Apr.17th 2026 |
| Air Mail | From Jan.28th 2026 to Jan.30th 2026 |
| EMS | From Jan.27th 2026 to Jan.30th 2026 |
| Pantos Express | From Jan.29th 2026 to Feb.3rd 2026 |
| DHL | From Jan.27th 2026 to Jan.29th 2026 |
| UPS | From Jan.27th 2026 to Jan.29th 2026 |
| FedEx | From Jan.27th 2026 to Jan.29th 2026 |
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Other items from this category:
This book aims to explain the fundamentals of data analysis in an easy-to-understand manner, and to provide the knowledge and practical methods to apply it to your own business.
Now that data utilization has become an urgent issue for many companies, companies have begun to set up in-house data analysis projects and work on them in a cross-organizational structure. With a shortage of data scientists and other specialists, it is not uncommon for IT engineers and people from marketing and other business departments to conduct data analysis.
Therefore, this book explains the [basic knowledge of data analysis] that both IT and business department members involved in a project should acquire as [common knowledge] [common language], with a focus on reporting. It is not based on specific tools or programming languages, and once acquired, it can be used for a lifetime.
The author is Tomoyuki Shibuya, a long-time employee of Macromill, which provides marketing support to more than 3,000 companies annually, and is currently engaged in promoting corporate data utilization and supporting human resource development at its group company, Eight Hundred.
[How to connect business and data?] [What is data analysis that contributes to decision making?] He systematically explains data analysis while keeping in mind the viewpoints of "How do we connect business and data?
[Recommended for... ]
*Those who have decided to conduct data analysis but do not know where to start.
*Those who have been asked "What on earth is data analysis for? Those who are struggling with setting up the problem in the first place.
*Those who have knowledge of statistical methods and programming skills, but the analysis results do not lead to decision making.
*Management level personnel who are in a position to oversee data analysis projects.
[Goals of this book]
*Understand the steps of data analysis for decision support.
*Understand how to connect business, data, and analysis results.
*Understand how to conduct data analysis with a high probability of success and the appropriate analytical methods.
*Be able to create good reports and explain them in an easy-to-understand manner
[The structure of this book]
Chapter 1: Data Utilization in the DX Era
Chapter 2: Overview of [Data Analysis] Steps
Chapter 3 [STEP1&2] Clarify the question to be solved *Create an analysis story
Chapter 4: Business Knowledge Required for Data Analysis (First Half)
Chapter 5: Business Knowledge Required for Data Analysis (Second Half)
Chapter 6 [STEP3] Data Collection * Pre-processing
Chapter 7 [STEP4] Interpretation*Discussion through data comparison
Chapter 8 [STEP4] Expanding the Range of Data Analysis [Statistical Analysis]
Chapter 9 [STEP5] Reporting & Presentation
Chapter 10: Basic Understanding of AI*Machine Learning