CIO Business Intelligence
MAY 8, 2024
According to a recent report by InformationWeek , enterprises with a strong AI strategy are 3 times more likely to report above-average data integration success. Additionally, a study by McKinsey found that organisations leveraging AI in data integration can achieve an average improvement of 20% in data quality.
CIO Business Intelligence
JANUARY 4, 2023
That has the potential to increase dramatically as organizations embrace AI, the internet of things, blockchain, and other resource-intensive emerging technologies. They are looking for data quality and accuracy to measure carbon footprint, supply chain optimization, and green revenue in real time.”
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CIO Business Intelligence
MAY 20, 2022
National Grid is a big Microsoft Azure cloud customer due to its secure, proprietary nature, says Karaboutis, and is using a bevy of leading-edge tools, from Snowflake, Azure, and Matallion ETL for data tooling, Informatica for data quality, Reltio for master data management, and Blue Prism for RPA, to name a few.
AWS Big Data
MARCH 7, 2023
It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. Unlike ingestion processes, data can be transformed as per business rules before loading.
CIO Business Intelligence
JUNE 30, 2023
All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. As these trends continue to evolve, building your data strategy around the principles of openness and governance assures trust in the data.
Smart Data Collective
JUNE 19, 2019
Big data calls for complex processing, handling, and storage system, which may include elements such as human beings, computers, and the internet. While the sophisticated Internet of Things can positively impact your business, it also carries a significant risk of data misuse. Fraud and Money Laundering Prevention.
Sisense
OCTOBER 15, 2020
The world is moving faster than ever, and companies processing large amounts of rapidly changing or growing data need to evolve to keep up — especially with the growth of Internet of Things (IoT) devices all around us. Every data professional knows that ensuring data quality is vital to producing usable query results.
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