Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách keo gáy, bìa mềm
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
Categories:Business & Economics - Professional Finance
Year:2022
Edition:1
Language:english
Pages:177
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