TCO / ROI
DataBalancing compliance and costs in multi-cloud data archiving
Managing data archiving and retention in multi-cloud and hybrid environments presents significant challenges for enterprises. This article explores how to develop and implement a consistent and compliant strategy that optimizes costs and ensures data availability.
Read article
DataWhere to validate data in complex integration flows?
Optimal placement of data quality checks in an integration architecture is key to minimizing error correction costs and ensuring data reliability. This decision requires considering data volumes, latency requirements, and implementation complexity.
Read article
DataManaging Data Quality Rules: Exceptions and the Cost of Errors
Architecting Data Quality Rules as a product involves defining clear ownership, establishing an efficient workflow for exceptions, and implementing a methodology for measuring economic impact. This approach ensures data integrity and optimizes costs.
Read articleMDM without centralization: Defining master system boundaries
Defining the boundaries of master systems is a critical architectural decision for successful MDM. This approach helps avoid excessive centralization and ensures data quality.
Read article