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White Paper Best Practices

Architecting Systems for Effective Control of Bad Data

Bad data is unavoidable. Every organization that works with data encounters typos, omissions, unexpected changes to structures, misinterpretations and more. And even small data issues can have enormous impact. IBM estimates that $3.1 trillion is lost by US businesses as a result of poor data quality.

Our whitepaper explains how you can architect systems specifically for bad data from the ground up, and create an effective and sustainable data validation and correction loop. Download now and find out:

  • The tools and practices that enable business users to effectively identify, correct and manage bad data
  • The benefits of automated data processing pipelines designed for error management
  • Why you shouldn’t leave bad data to just your IT team
  • The importance of reporting in your error handling process
Architecting Systems for Effective Control of Bad Data

Data integration software and ETL tools provided by the CloverDX platform (formerly known as CloverETL) offer solutions for data management tasks such as data integration, data migration, or data quality. CloverDX is a vital part of enterprise solutions such as data warehousing, business intelligence (BI) or master data management (MDM). CloverDX Designer (formerly known as CloverETL Designer) is a visual data transformation designer that helps define data flows and transformations in a quick, visual, and intuitive way. CloverDX Server (formerly known as CloverETL Server) is an enterprise ETL and data integration runtime environment. It offers a set of enterprise features such as automation, monitoring, user management, real-time ETL, data API services, clustering, or cloud data integration.