Evolving Data Intelligence Organizational Performance
The CDO journey starting with the data discovery, management, governance & analytics of master data within existing silos of corporate structured and unstructured data would be discussed. Discovery of source data with agile processes allows for augmented ML and AI to measure Data Quality, enabling configurable ETL and progressive data governance. This also enables dynamic and experimental modelling of data transformation to target applications. This is the primary function of the Data Quality HUB while orchestrating seamless integration of micro-services between multiple data sources, ontology content libraries and cloud service providers for ISO 8000 data quality rendered to target applications and systems. Two practical business cases will be illustrated within the domains of Business Partner Integration and Governance as well as Supply Chain Digital Transformation and Automation.
Data is a critical aspect of every organization, the symposium is focusing on the management and leadership of this critical element for the 21st century that will benefit every organization. Please visit
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