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Big Data Quality Management

"FinScore’s approach has convinced us since it covers in a very systematic way all aspects of technical, statistical and business data quality. This helps us to enhance our operational performance and – most importantly – to enhance the quality of the relationships with our clients." (Frederic Le Hellard, vice-director at BCV)


Big Data Quality Management

Poor data quality costs companies between 8% and 12% of their revenue! Ever increasing volumes of collected information and more stringent regulations for risk management and corporate governance (e.g. Basel II and Sarbanes Oxley) force companies to better manage their most valuable asset: information. FinScore’s Information Quality Management solution measures the quality of information, considers the business user perspective, quantifies the impact of information quality on key performance indicators, and delivers an action roadmap for information quality management aligned with company strategic goals.

Big Data Management / ETL

ETL tools Extract, Transform and Load the data into Data Warehouse for decision making and Business Intelligence applications. The absence of an ETL-Tool based data management process implies a number of manual operations which are time-consuming and error-prone. These difficulties are eliminated by ETL Tools and the design of efficient data management processes in all stages of the ETL process starting from extraction, data cleansing, data profiling, transformation, debuggging and loading into data warehouse. FinScore helps you define and implement powerful data management processes that fully leverage the potential of your organization's data assets.



FinIQ measures and visualizes IT service quality. It empowers executives to target information quality improvements towards maximization of business users satisfaction and their impact on company objectives.