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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. ISO 20022 drives improved analytics and new revenue opportunities ISO 20022 enables more sophisticated payment analytics by providing a richer data set for analysis.

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The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

By using Cloudera’s big data platform to harness IoT data in real-time to drive predictive maintenance and improve operational efficiency, the company has realized about US$25 million annually in new profit resulting from better efficiency of working sites. . Data enables Innovation & Agility. Risk Management.

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How to use DSPM to reduce cloud storage costs: a guide on how to identify and delete redundant, obsolete, or trivial data in cloud environments using DSPM tools

Laminar Security

This type of data, which often accumulates unnoticed, can significantly inflate cloud storage costs. By using DSPM tools to pinpoint and remove ROT data, businesses can both reduce their storage needs and also streamline their operations while minimizing the risk of data breaches.

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Best Practices for Data Catalog Implementation

Octopai

For business users Data Catalogs offer a number of benefits such as better decision-making; data catalogs provide business users with quick and easy access to high-quality data. This availability of accurate and timely data enables business users to make informed decisions, improving overall business strategies.

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Back to the Financial Regulatory Future

Cloudera

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

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

Ontotext

These two key data elements are used in approximately 80% of the use cases in the sector. It is reused in modeling the publication of entity data or regulatory-mandated data exchange, as seen in the example provided below. This makes it easier to manage and update information as the industry changes.

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Data-driven competitive advantage in the financial services industry

Cloudera

Cloudera’s customers in the financial services industry have realized greater business efficiencies and positive outcomes as they harness the value of their data to achieve growth across their organizations. Data enables better informed critical decisions, such as what new markets to expand in and how to do so.