Cargando…

DATA QUALITY ENGINEERING IN FINANCIAL SERVICES applying manufacturing techniques to data /

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 pr...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: BUZZELLI, BRIAN
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [S.l.] : O'REILLY MEDIA, 2022.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

LEADER 00000cam a22000007a 4500
001 OR_on1348478771
003 OCoLC
005 20231017213018.0
006 m o d
007 cr |n|||||||||
008 221023s2022 xx o 000 0 eng d
040 |a YDX  |b eng  |c YDX  |d ORMDA  |d OCLCF  |d N$T  |d OCLCO 
020 |a 9781098136901  |q (electronic bk.) 
020 |a 109813690X  |q (electronic bk.) 
020 |z 1098136934 
020 |z 9781098136932 
029 1 |a AU@  |b 000072866310 
035 |a (OCoLC)1348478771 
037 |a 9781098136925  |b O'Reilly Media 
050 4 |a HG173 
082 0 4 |a 332.1/0285  |2 23/eng/20221025 
049 |a UAMI 
100 1 |a BUZZELLI, BRIAN. 
245 1 0 |a DATA QUALITY ENGINEERING IN FINANCIAL SERVICES  |h [electronic resource] :  |b applying manufacturing techniques to data /  |c Brian Buzzelli. 
260 |a [S.l.] :  |b O'REILLY MEDIA,  |c 2022. 
300 |a 1 online resource 
520 |a 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. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Financial services industry  |x Data processing. 
650 0 |a Financial services industry  |x Technological innovations. 
650 6 |a Services financiers  |x Informatique. 
650 6 |a Services financiers  |x Innovations. 
650 7 |a Financial services industry  |x Data processing  |2 fast 
650 7 |a Financial services industry  |x Technological innovations  |2 fast 
776 0 8 |i Print version:  |z 1098136934  |z 9781098136932  |w (OCoLC)1345458333 
856 4 0 |u https://learning.oreilly.com/library/view/~/9781098136925/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
938 |a YBP Library Services  |b YANK  |n 303208646 
938 |a EBSCOhost  |b EBSC  |n 3418542 
994 |a 92  |b IZTAP