Financial data quality management E-libro

Financial data quality management - Massimo Tomasi pdf epub



STORIA: 04/03/2014
ISBN: 9788821747229


In questi ultimi anni i temi di affidabilità e tempestività nella gestione delle informazioni aziendali sono stati oggetto di un interesse crescente, specie in ambito bancario ed assicurativo. Sono infatti chiarissime le forti ed innumerevoli spinte, sia interne che esterne, in questa direzione. Da una parte, il governo aziendale prevede di adottare modelli di analisi sempre più sofisticati riferiti ai temi di Marketing, Risk Management e Profittabilità (analisi della redditività e dei costi).

... more effective by enabling data governance professionals to profile, transform and standardize information ... Oracle Hyperion Data Integration Management Adapters ... . Data quality management guards you from low-quality data that can totally discredit your data analytics efforts. However, to do data quality management right, you should keep in mind many aspects. Choosing the metrics to assess data quality, selecting the tools, and describing data quality rules and thresholds are just several important steps. 7 Steps to Ensure and Sustain Data Quality. ... This trend has made data management and good practices of ... Financial Data Quality Management | OneStream Software ... . 7 Steps to Ensure and Sustain Data Quality. ... This trend has made data management and good practices of ensuring good data quality more important than ever. The goal of this article is to give you a clear idea of how to build a data pipeline that creates and sustains good data quality from the beginning. Although Data Quality and Data Governance are often used interchangeably, they are very different, both in theory and practice. While Data Quality Management at an enterprise happens both at the front (incoming data pipelines) and back ends (databases, servers), the whole process is defined, structured, and implemented through a well-designed framework. Oracle Hyperion Financial Data Quality Management is a packaged solution for finance users that helps develop standardized financial data management processes with its web-based guided workflow user interface. Its data preparation server can ease integrating and validating financial data from any of your source systems. Data quality management is an administration type that incorporates the role establishment, role deployment, policies, responsibilities and processes with regard to the acquisition, maintenance, disposition and distribution of data....