Data quality is a top priority for financial firms and it has only grown in importance because of regulation and the need for better operational efficiency. Data quality is hard to measure in the ...

Zehra Cataltepe is the CEO of TAZI.AI, an adaptive, explainable AI and GenAI platform for business users. She has 100+ AI papers & patents. In many industries, including banking, insurance and ...

Modern analytics pipelines often follow the medallion architecture, which organizes data into Bronze (raw), Silver (cleansed) ...

Marketing’s potential to deliver results relies on data quality, but data accuracy, consistency, and validity continue to be a challenge for many organizations. Inconsistent data quality is holding ...

Observability by definition is a measure of how well internal states of a system can be inferred from knowledge of its external outputs. In other words, a system’s behavior is determined from its ...

From verifying the quality of incoming data to improving the quality of existing data, open-source data quality solutions can benefit your organization. Image: your123/Adobe Stock Given the importance ...

Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and utilizing ...

Saptaparna Gupta's Data Quality Control Assessment (DQCA) proactively embeds quality checks into financial workflows, ...