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14434794
Self-Service Analytics Simplified: How to Plan and Implement
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Item #:
14434794
NZD 85
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Self-Service Analytics Simplified: How to Plan and Implement will introduce you to self-service analytics (SSA), which aims to make business users less dependent on IT for their reporting and analytics needs.
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What Stands Out
User-Friendly Interface
Designed for simplicity, allowing users of all skill levels to navigate and analyze data effortlessly, thus empowering teams to make informed decisions without requiring extensive technical training.
Collaborative Tools
Facilitates teamwork by enabling shared access to insights and reports, promoting effective communication and collaborative decision-making across departments, enhancing organizational efficiency and productivity.
Real-Time Insights
Delivers immediate analytics and reporting capabilities that enable users to respond quickly to market changes, ensuring that businesses maintain a competitive edge through timely data-driven decisions.
Product Details
- Comprehensive guide to self-service analytics
- Offers practical insights for planning and implementation
- Paperback format for easy access and reference
- Published on July 10, 2019
- Authored by industry experts
- Provides strategies for simplifying analytics processes
| Publisher | Khan Consulting and Publishing LLC |
| Publication date | July 10, 2019 |
| Language | English |
| Print length | 210 pages |
| ISBN-10 | 096608635X |
| ISBN-13 | 978-0966086355 |
| Item Weight | 10.9 ounces (309.02 grams) |
| Dimensions | 6 x 0.48 x 9 inches (15.2 x 1.2 x 22.9 cm) |
Who Should Buy?
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Business Analysts
Ideal for professionals seeking to enhance their analytic skills and enable data-driven decision-making within organizations.
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Small Business Owners
Helpful for entrepreneurs looking to leverage data analytics to drive growth and optimize operational effectiveness.
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Data Enthusiasts
Perfect for individuals eager to learn about self-service analytics and its implementation in various environments.
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Advanced Data Scientists
Not suitable for experts who require in-depth technical frameworks or complex analytical methodologies beyond a simplified approach.
Product Description
Self-Service Analytics Simplified: How to Plan and Implement
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Product Buying Guide
Self-Service Analytics Simplified: How to Plan and Implement is a comprehensive guidebook designed to introduce users to the concept of self-service analytics (SSA) and provide them with the knowledge and tools needed to plan and implement an SSA project. This book is suitable for a wide range of users, including senior executives, business and IT managers, project managers, data analysts, business analysts, developers, casual users, and IT professionals. By leveraging SSA, users can reduce their dependence on IT and gain the ability to perform their own reporting and analytics tasks.
Product Specifications
- Title: Self-Service Analytics Simplified: How to Plan and Implement
- Paperback: July 10, 2019
Key Features
- Introduction to self-service analytics and its relationship with BI
- Benefits for different types of users
- Readiness assessment and planning for SSA implementation
- Data-related topics including metadata and data pipelining
- Architecture and tools for SSA
- Requirements and implementation strategies
- Data governance and security considerations
- Training, data, and user onboarding
- Identification of barriers to adoption and how to overcome them
- Challenges, best practices, lessons, and tips for successful SSA implementation
Usage Scenarios
- Senior executives can gain real-time insights into business performance without relying on IT
- Business and IT managers can empower their teams to be self-sufficient in generating reports and conducting analysis
- Project managers can streamline the analytics workflow and improve efficiency
- Data analysts and business analysts can explore data independently and derive valuable insights
- Developers can understand the architectural aspects and integrate SSA into existing systems
- Casual users can easily create reports and dashboards without technical expertise
- IT professionals can learn about SSA implementation and governance practices
Conclusion
Self-Service Analytics Simplified: How to Plan and Implement is an essential guide for anyone interested in empowering their business users with self-service analytics capabilities. With a comprehensive coverage of topics and a focus on practical implementation strategies, this book is a valuable resource for individuals and organizations looking to enhance their data analytics capabilities and reduce reliance on IT. Whether you are a senior executive, business manager, project manager, data analyst, or IT professional, this book will equip you with the knowledge and tools needed to succeed in your self-service analytics journey.
View LessSelf-Service Analytics Simplified: How to Plan and Implement is a comprehensive guidebook designed to introduce users to the concept of self-service analytics (SSA) and provide them with the knowledge and tools needed to plan and implement an SSA project. This book is suitable for a wide range of users, including senior executives, business and IT managers, project managers, data analysts, business analysts, developers, casual users, and IT professionals. By leveraging SSA, users can reduce their dependence on IT and gain the ability to perform their own reporting and analytics tasks. Continue Reading
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Pros
- Easy to understand concepts
- Practical implementation advice
- Comprehensive resource
- Good for beginners and experts
- Engaging writing style
Cons
- Some examples may feel outdated.
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NZD 85
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Features & Benefits
- Learn how to plan and implement a self-service analytics project.
- Appeals to a broad range of users including senior executives, business and IT managers, project managers, data analysts, business analysts, developers, and casual users.
- Covers topics such as readiness assessment, planning, architecture, tools, implementation, data governance, and best practices.
- Aims to make business users less dependent on IT for their reporting and analytics needs.
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