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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 the book, 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 the
bookshelves of business leaders interested in learning more about
what sets robust data apart from the rest.
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Nadine Gordimer
Paperback
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R398
R330
Discovery Miles 3 300
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