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47670208
Data Analytics: The Ultimate Guide to Big Data Analytics for Business, Data Mining Techniques, Data Collection, and Business Intelligence Concepts
79% of respondents would recommend this to a friend
Item #:
47670208
DKK 184
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With this book, not only will you understand all the internal nitty-gritties about data analytics and data mining, you will also understand why data analytics and data mining is changing the business arena.
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What Stands Out
Comprehensive Coverage
Offers exhaustive insights on big data analytics, covering essential techniques from data mining to business intelligence, making it suitable for professionals aiming to enhance their analytical skills.
User-Friendly Approach
Presents complex concepts in an accessible manner, ensuring that both beginners and experienced users can grasp critical data analysis techniques effectively, boosting their confidence in utilizing big data.
Practical Applications
Includes real-world case studies and practical examples to illustrate data analytics applications, empowering businesses to implement strategies and make data-driven decisions for operational improvement.
Product Details
| Publisher | CreateSpace Independent Publishing Platform |
| Publication date | September 19, 2018 |
| Language | English |
| Print length | 156 pages |
| ISBN-10 | 1727481011 |
| ISBN-13 | 978-1727481013 |
| Item Weight | 11.4 ounces (323.19 grams) |
| Dimensions | 8 x 0.36 x 10 inches (20.3 x 0.9 x 25.4 cm) |
Who Should Buy?
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Business Analysts
Ideal for business analysts looking to enhance their skills in data analysis and decision-making processes.
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Data Enthusiasts
Great for individuals curious about big data and seeking foundational knowledge in data mining techniques.
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Managers
Useful for managers needing to leverage business intelligence concepts to improve strategy and operational efficiency.
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Beginners
Not suitable for absolute beginners without prior knowledge of data analytics frameworks and terminology.
Product Description
Data Analytics: The Ultimate Guide to Big Data Analytics for Business, Data Mining Techniques, Data Collection, and Business Intelligence Concepts
Have any Query? Chat with us
Customer Questions & Answers
-
Question:
What topics does 'Data Analytics: The Ultimate Guide' cover?
Answer: The book covers a comprehensive range of topics within data analytics, focusing on big data analytics, data mining techniques, data collection methods, and essential business intelligence concepts. By exploring these areas, readers gain insights into how to effectively leverage data for informed decision-making, streamline operations, and enhance strategic planning. For instance, businesses can apply data mining techniques to uncover trends and patterns that inform marketing strategies and optimize customer engagement. -
Question:
Who is the target audience for this book?
Answer: The target audience primarily includes business professionals, data analysts, and students looking to deepen their understanding of data analytics. This book serves both newcomers to the field and experienced practitioners who wish to refine their skills. It’s particularly beneficial for managers who want to incorporate data-driven strategies into their business processes, thereby improving efficiency and achieving competitive advantage in their respective markets. -
Question:
How can the concepts in this book enhance business decision-making?
Answer: The concepts outlined in the book enable businesses to utilize data effectively, transforming raw data into actionable insights. By understanding big data analytics and applying data mining techniques, organizations can make informed strategic decisions that optimize performance. For example, a retail manager may use predictive analytics to identify customer buying patterns, leading to targeted marketing efforts that increase sales and enhance customer loyalty. -
Question:
Are there practical examples included in the book?
Answer: Yes, the book includes a variety of practical examples and case studies that illustrate how data analytics is applied in real-world scenarios. These examples demonstrate the effectiveness of data-driven strategies in various industries ranging from healthcare to finance and retail. For instance, a financial organization might use data collection techniques to enhance fraud detection and risk management, showcasing how the theoretical concepts translate into tangible outcomes. -
Question:
How does the book address big data challenges?
Answer: The book addresses big data challenges by providing frameworks and methodologies for managing, analyzing, and interpreting large volumes of data. It explores techniques for data cleaning, integration, and storage, which are essential for accurate analysis. For instance, businesses dealing with vast amounts of customer data can implement strategies outlined in the book to ensure data quality and accessibility, thereby driving better insights and outcomes. -
Question:
Can data analytics contribute to competitive advantage?
Answer: Absolutely, data analytics can significantly contribute to a competitive advantage by allowing organizations to leverage insights drawn from data to make more informed strategic choices. By identifying market trends, customer preferences, and operational efficiencies, businesses can adapt and innovate faster than their competitors. For example, a logistics company might analyze route data to minimize fuel costs and delivery times, thereby enhancing operational performance and customer satisfaction. -
Question:
What are some key business intelligence concepts introduced in the book?
Answer: The book introduces several key business intelligence concepts, such as data visualization, dashboards, and performance metrics. These concepts help businesses track and analyze their performance effectively. For example, implementing dashboards can allow managers to visualize KPIs in real-time, facilitating quick and informed decision-making based on clear data representation. -
Question:
How can beginners benefit from this book?
Answer: Beginners can benefit from the book through its clear explanations of data analytics fundamentals and practical applications. The step-by-step approach allows newcomers to grasp complex concepts without overwhelming them. By following the guidance provided, beginners can develop a solid foundation in data analytics, preparing them to tackle real-world analytics problems and enabling them to contribute positively in a data-driven workplace. -
Question:
Where can I buy Data Analytics: The Ultimate Guide in Denmark?
Answer: You can buy 'Data Analytics: The Ultimate Guide to Big Data Analytics for Business, Data Mining Techniques, Data Collection, and Business Intelligence Concepts' on Ubuy. Ubuy offers a wide range of options to choose from, ensuring you can easily access the book along with other resources for improving your knowledge in data analytics.
Business Mathematics Editorial Review
"Data Analytics: The Ultimate Guide to Big Data Analytics for Business, Data Mining Techniques, Data Collection, and Business Intelligence Concepts" aims to help readers understand the concepts of data analytics and their importance in business. While the content is informative and provides valuable insights on various topics related to data analytics, some readers have pointed out that the grammar and formatting of the book could be better. However, the majority of readers found the book to be worthwhile and recommended it to anyone looking to learn more about data analytics.
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Pros
- Informative content
- Valuable insights on data analytics
- Recommended by majority of readers
Cons
- Poor grammar and formatting
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DKK 184
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Features & Benefits
- The book helps to understand all the internal nitty-gritties about data analytics and data mining.
- It will also understand why data analytics and data mining is changing the business arena.
- High-performance analytics will enable you to do stuff that you never thought about before.
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