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Books > Business & Economics > Industry & industrial studies > Service industries > Financial services industry
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Data Quality Engineering in Financial Services - Applying Manufacturing Techniques to Data (Paperback)
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Data Quality Engineering in Financial Services - Applying Manufacturing Techniques to Data (Paperback)
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Data quality will either make you or break you in the financial
services industry. Missing prices, wrong market values, trading
violations, client performance restatements, and incorrect
regulatory filings can all lead to harsh penalties, lost clients,
and financial disaster. This practical guide provides data
analysts, data scientists, and data practitioners in financial
services firms with the framework to apply manufacturing principles
to financial data management, understand data dimensions, and
engineer precise data quality tolerances at the datum level and
integrate them into your data processing pipelines. You'll get
invaluable advice on how to: Evaluate data dimensions and how they
apply to different data types and use cases Determine data quality
tolerances for your data quality specification Choose the points
along the data processing pipeline where data quality should be
assessed and measured Apply tailored data governance frameworks
within a business or technical function or across an organization
Precisely align data with applications and data processing
pipelines And more
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