Remove introducing-liquid-data-model
article thumbnail

Introducing the Liquid Data Model

Data Virtualization

Reading Time: 2 minutes In the software world, we constantly represent real phenomena in abstract terms, and this is no exception in the world of data storage. We say that data storage, like matter, adheres to the Law of Increments, which states that, according.

article thumbnail

Forging a framework for central bank digital currencies and tokenization of other financial assets

IBM Big Data Hub

Additionally, a CBDC system should interoperate with existing payment, settlement, and liquidity infrastructures alongside other CBDC systems and emerging digital asset systems. Privacy refers to the right of data owners to control who accesses their transactional information. Payment transaction privacy is also important.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Harnessing AI and data analytics can make clean energy more viable

IBM Big Data Hub

This is where harnessing artificial intelligence (AI) and data analytics can help. To assist utility companies, IBM has created the Clean Electrification Maturity Model (CEMM) in conjunction with the American Productivity & Quality Center (APQC). This research can enable more liquid markets and lower energy prices for customers.

article thumbnail

IBM Cloud for Payments is an imperative, not a nice-to-have

IBM Big Data Hub

Using IBM Cloud to transform global payments rails The need for continuously available payment processing requires a rethinking of end-of-day cycles and introduces the need for stand-in processing for the times when host applications are down for end-of-day cycles or unavailable due to system outages or maintenance.

article thumbnail

Build trust in banking with data lineage

IBM Big Data Hub

Banks and their employees place trust in their risk models to help ensure the bank maintains liquidity even in the worst of times. This trust depends on an understanding of the data that inform risk models: where does it come from, where is it being used, and what are the ripple effects of a change?

Risk 72
article thumbnail

Financial Dashboard: Definition, Examples, and How-tos

FineReport

In today’s dynamic business environment, gaining comprehensive visibility into financial data is crucial for making informed decisions. Furthermore, we will introduce some business intelligence solution that excels in simplifying the process of creating and utilizing a financial dashboard effectively.

article thumbnail

Cloudera wins Risk Markets Technology Award for Data Management Product of the year

Cloudera

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. End-to-end Data Lifecycle.

Risk 89