{"product_id":"data-quality-engineering-in-financial-services-applying-manufacturing-techniques-to-data","title":"Data Quality Engineering in Financial Services","description":"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. \n\n You'll get invaluable advice on how to: \n\n\n\nEvaluate data dimensions and how they apply to different data types and use cases \nDetermine data quality tolerances for your data quality specification \nChoose the points along the data processing pipeline where data quality should be assessed and measured \nApply tailored data governance frameworks within a business or technical function or across an organization \nPrecisely align data with applications and data processing pipelines \nAnd more","brand":"O'Reilly Media","offers":[{"title":"Default Title","offer_id":54205438755160,"sku":null,"price":65.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781098136932.jpg?v=1777658432","url":"https:\/\/agendabookshop.com\/products\/data-quality-engineering-in-financial-services-applying-manufacturing-techniques-to-data","provider":"Agenda Bookshop","version":"1.0","type":"link"}