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Business Intelligence Guidebook: From Data Integration to Analytics
88% of respondents would recommend this to a friend
NGN 90428
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Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes.
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What Stands Out
Product Details
- Covers crucial but often overlooked aspects of business intelligence architecture, design, and process
- Written by industry expert Rick Sherman to provide practical knowledge for designing solid BI and data integration systems
- Offers guidance on creating cost-effective, reusable, and vital systems for converting raw data into valuable business insights
- Equips readers with the ability to design overall architecture for functioning BI systems and supporting applications
- Provides valuable insights for launching, developing, managing, and delivering BI projects effectively
- A valuable resource for professionals looking to enhance their expertise in corporate BI projects
| Publisher | Morgan Kaufmann |
| Publication date | November 21, 2014 |
| Edition | 1st |
| Language | English |
| Print length | 550 pages |
| ISBN-10 | 012411461X |
| ISBN-13 | 978-0124114616 |
| Item Weight | 2.55 pounds (1.16 kg) |
| Dimensions | 7.5 x 1.24 x 9.25 inches (19.1 x 3.1 x 23.5 cm) |
Who Should Buy?
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Data Analysts
This guidebook offers essential insights for data analysts looking to enhance their skills in business intelligence.
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Business Managers
Managers can benefit from understanding data-driven decision-making processes outlined in the guidebook for strategic planning.
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IT Professionals
IT professionals will find valuable information on data integration technologies and analytics tools covered in the text.
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Casual Users
Individuals looking for casual reading or basic data knowledge may find the content too technical and dense.
Product Description
About This Item
Introducing the Business Intelligence Guidebook: From Data Integration to Analytics 1st Edition Are you tasked with business intelligence and data integration? Look no further than this outstanding guidebook, highly recommended by industry professionals. Whether you're a beginner or an established professional, this comprehensive A to Z guidebook will provide you with the knowledge and expertise you need for a successful BI project. Stay abreast of the latest advances in architecture and technology with the help of Rick Sherman, an expert in the field. With clear explanations of various BI and data warehousing topics, this guidebook serves as both a useful primer and a great reference for seasoned professionals. Rolling out a BI initiative or strengthening an existing one? This guidebook leaves no stone unturned, taking a deep dive into the complex and diverse field of business intelligence.
Even the most seasoned BI professional will benefit from having this book as a reference within arm's reach. Master the full BI project lifecycle, including requirements gathering, project management, data modeling, architecture, data integration, BI applications, and analytics. Build a robust data architecture framework that incorporates data warehousing and Big Data elements, ensuring the success of your projects. Don't underestimate the importance of architecture, design, and process in business intelligence. Without this crucial knowledge, projects can flounder, be delayed, and exceed their budget.
The Business Intelligence Guidebook: From Data Integration to Analytics is the key to unlocking the full potential of your BI endeavors. Get your hands on this invaluable resource and arm yourself with the knowledge you need to tackle the challenges of implementing BI projects. Whether you are an IT professional, a business leader, or a data enthusiast, this guidebook will empower you to make informed decisions and drive meaningful insights. Invest in your success and take your business intelligence skills to the next level. Order the Business Intelligence Guidebook: From Data Integration to Analytics 1st Edition today and become a master in the world of BI. Keywords: Business Intelligence Guidebook, Data Integration to Analytics, 1st Edition, Business Intelligence, Data Integration, Analytics, Guidebook, Integration to Analytics.
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Business Intelligence Tools Editorial Review
The "Business Intelligence Guidebook: From Data Integration to Analytics 1st Edition" received mixed customer feedback according to the reviews. Some customers find the book a great introduction into the IT and business intelligence environment, while others noted that it is not for beginners, nor for experts. There were comments about the examples links not working, and the book not adding any value to what you can find in Google for free. One review mentioned that the book does a poor job of breaking down the architectural framework that it introduces while others find it easy to understand, and everything makes sense when they read it. The physical book received positive feedback for being received in good condition. However, one review expressed disappointment, stating that the book was so dry it made them fall asleep several times while reading it and did not finish it.
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Pros
- Good introduction to IT and business intelligence environment
- Easy to understand for some readers
- Physically received product in good condition
Cons
- Links to examples not working
Product Price History
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NGN 90428
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Features & Benefits
- Provides practical guidelines for building successful BI, DW and data integration solutions.
- Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language.
- Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses.
- Describes best practices and pragmatic approaches so readers can put them into action.
- Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources.
- Demonstrate your essential knowledge that puts corporate BI projects on a fast-track to success.
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