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ISO 20022: Are your payment systems ready?

IBM Big Data Hub

ISO 20022 data improves payment efficiency The impact of ISO 20022 on payment systems data is significant, as it allows for more detailed information in payment messages. Furthermore, ISO 20022 enables interoperability between different payment systems, which is critical in today’s global financial ecosystem.

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Commercial Lines Insurance- the End of the Line for All Data

Cloudera

In the last few years, Commercial Insurers have been making great strides in expanding the use of their data. The approach is very evolutionary; the initial focus tends to be aimed at cost savings and starts with structured data. This results in enhancements in finance reporting or compliance.

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Quantitative and Qualitative Data: A Vital Combination

Sisense

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

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The Power of Ontologies and Knowledge Graphs: Practical Examples from the Financial Industry

Ontotext

It is reused in modeling the publication of entity data or regulatory-mandated data exchange, as seen in the example provided below. We think their adoption will bring benefits well beyond reporting. Integrating reporting to move to a more streamlined, efficient approach to data collection.

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How Ruparupa gained updated insights with an Amazon S3 data lake, AWS Glue, Apache Hudi, and Amazon QuickSight

AWS Big Data

The AWS Glue Data Catalog stores the metadata, and Amazon Athena (a serverless query engine) is used to query data in Amazon S3. AWS Secrets Manager is an AWS service that can be used to store sensitive data, enabling users to keep data such as database credentials out of source code.

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Your Data Architecture Holds the Key to Unlocking AI’s Full Potential

CIO Business Intelligence

AI working on top of a data lakehouse, can help to quickly correlate passenger and security data, enabling real-time threat analysis and advanced threat detection. In order to move AI forward, we need to first build and fortify the foundational layer: data architecture.

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A Guide to CCPA Compliance and How the California Consumer Privacy Act Compares to GDPR

erwin

Clinical trial data. Information sold to or by consumer reporting agencies. Under the GDPR, organizations must make any personal data collected from an EU citizen available upon request. Harvest data: Automate the collection of metadata from various data management silos and consolidate it into a single source.