AI-driven Data Catalog

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Insights, Technology, Use Cases

Problem Data Catalog is an inventory for datasets. It provides detailed data description (i.e. metadata), such as when it was created, to enable users find and understand a relevant dataset. For many traders in financial services, data catalog enables their investment decision making to be more data-driven and evidence-based. Take Environment, Social and Governance (ESG) […]

AI-enhanced Data Quality

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Insights, Technology, Use Cases

Problem According to Gartner, $14.2M is lost to poor data quality each year. Data quality refers to how suitable the data is for its intended purpose. High quality data is extremely important as it impacts the performance of business operations. For financial services, in particular trading teams, data must be of extremely high standard, as […]

AI-powered Data Governance

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Insights, Technology, Use Cases

Problem Data governance is prominent in helping financial institutions stay compliant as digitalisation accelerates. It ensures that an institution has the right data available at the right time, and that the data is accurate and in the required format to satisfy specific business needs. One of the most critical component of data governance is Know […]

Automated Data Mapping​

Categories
Insights, Technology, Use Cases

Problem Since data resides in various systems, data mapping helps bridge the gap between two systems, so that when data is moved from a source, it remains highly accurate and usable at the destination. For any financial institution, operational risk management is critical. Prior to analysing operational risk data, organisations must map data to homogenise […]