- Published Year: 2012
- Page count: 357
- File Size: 6 MB
- Language: English
- Published by: SAS Institute
- Visited by: 12
- Rating/Review: 4.5
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ISBN:
160764620X
9781607646204
Keywords:
کانال تلگرام امین مصباحی
تِکافترنون، رویدادی گاهبهگاه است با موضوعات حول معماری و توسعه نرمافزار، این کانال هم برای اشتراک اخبار، آموزش، نکاتی حول مهندسی نرمافزار، دیتابیس، تکنولوژی و مدیریت تولید محصولات نرمافزاری خواهد بود. امین مصباحی
Learn MoreData Quality for Analytics Using SAS
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Each download or ask from book AI costs 2 points. To earn more free points, please visit the Points Guide Page and complete some valuable actions.Welcome to the comprehensive introduction to "Data Quality for Analytics Using SAS," an in-depth guide crafted to empower analysts, data scientists, and SAS users to maintain and enhance data quality for superior analytical outcomes. As data becomes the lifeblood of decision-making in organizations, ensuring its quality is paramount for reliability and precision.
Detailed Summary of the Book
Data quality is a critical factor that determines the success or failure of analytics projects. "Data Quality for Analytics Using SAS" delves into the crucial aspects of data quality management, providing readers with practical methodologies to enhance data reliability using powerful SAS tools. Spanning across various chapters, the book discusses essential topics including data validation, cleansing, integration, and profiling.
This book targets both beginners and experienced professionals in the realm of data science and analytics, offering structured guidance with a hands-on approach. With realistic examples and extensively annotated SAS code, readers can directly apply the techniques discussed in their own data environments. Furthermore, industry-specific insights carry an added advantage for professionals dealing with domain-specific data challenges.
Key Takeaways
- Understand the importance of data quality in enhancing analytical accuracy and efficiency.
- Learn to identify and rectify common data quality issues encountered during data analysis.
- Gain insight into the features and capabilities of SAS for conducting effective data quality assessments.
- Develop customized data quality processes tailored to specific organizational needs.
- Achieve mastery over the practical application of SAS tools to manage large datasets efficiently.
Famous Quotes from the Book
"The quality of data not only influences the quality of insights but also the quality of decisions driven by those insights."
"Data quality is not a destination, but a continuous journey that demands vigilance and commitment."
Why This Book Matters
In an era where data is pivotal to decision-making, the accuracy and reliability of this data become critical. "Data Quality for Analytics Using SAS" represents an essential foundation for professionals committed to fostering a culture of data excellence within their organizations. This book not only equips readers with technical knowledge of SAS tools but also instills a strategic mindset necessary for implementing robust data quality frameworks.
Beyond technical proficiency, the book encourages a paradigm shift towards prioritizing data quality as an organizational asset. This transformative approach is essential for companies seeking to harness the full potential of their data resources. As rapid advancements in AI and machine learning continue to elevate the stakes, this book serves as a trusted guide for navigating the complexities of data quality management effectively.
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