Description: Data Quality : Empowering Businesses With Analytics and Ai, Hardcover by Southekal, Prashanth, ISBN 1394165234, ISBN-13 9781394165230, Brand New, Free shipping in the US Discover how to achieve business goals by relying on high-quality, robust data In Data Quality: Empowering Businesses with Analytics and AI, veteran data and analytics professional delivers a practical and hands-on discussion on how to accelerate business results using high-quality data. In th, you’ll learn techniques to define and assess data quality, discover how to ensure that your firm’s data collection practices avoid common pitfalls and deficiencies, improve the level of data quality in the business, and guarantee that the resulting data is useful for powering high-level analytics and AI applications. The author shows you how to: Profile for data quality, including the appropriate techniques, criteria, and KPIs Identify the root causes of data quality issues in the business apart from discussing the 16 common root causes that degrade data quality in the organization. Formulate the reference architecture for data quality, including practical design patterns for remediating data quality Implement the 10 best data quality practices and the required capabilities for improving operations, compliance, and decision-making capabilities in the business An essential resource for data scientists, data analysts, business intelligence professionals, chief technology and data officers, and anyone else with a stake in collecting and using high-quality data, Data Quality: Empowering Businesses with Analytics and AI will also earn a place on thshelves of business leaders interested in learning more about what sets robust data apart from the rest.
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Book Title: Data Quality : Empowering Businesses with Analytics and Ai
Number of Pages: 304 Pages
Language: English
Publisher: Wiley & Sons, Incorporated, John
Publication Year: 2023
Item Height: 1.1 in
Topic: Industries / Computers & Information Technology, Decision-Making & Problem Solving, Commerce, Databases / Data Mining
Genre: Computers, Business & Economics
Item Weight: 16.8 Oz
Author: Prashanth Southekal
Item Length: 9.1 in
Item Width: 6.3 in
Format: Hardcover