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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
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
He is a graduate of Carnegie Mellon University with a Bachelor of Science degree in Information and Decision Systems and holds two masterâ s degrees: Management of Information Systems and an MBA in Finance from the Katz Business School at the University of Pittsburgh.
| Erscheinungsjahr: | 2022 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9781098136932 |
| ISBN-10: | 1098136934 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Buzzelli, Brian |
| Hersteller: | O'Reilly Media |
| Maße: | 231 x 173 x 15 mm |
| Von/Mit: | Brian Buzzelli |
| Erscheinungsdatum: | 29.11.2022 |
| Gewicht: | 0,295 kg |
He is a graduate of Carnegie Mellon University with a Bachelor of Science degree in Information and Decision Systems and holds two masterâ s degrees: Management of Information Systems and an MBA in Finance from the Katz Business School at the University of Pittsburgh.
| Erscheinungsjahr: | 2022 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9781098136932 |
| ISBN-10: | 1098136934 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Buzzelli, Brian |
| Hersteller: | O'Reilly Media |
| Maße: | 231 x 173 x 15 mm |
| Von/Mit: | Brian Buzzelli |
| Erscheinungsdatum: | 29.11.2022 |
| Gewicht: | 0,295 kg |
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