Analytics Data structuring Government Marketing 
Collibra
DECEMBER 1, 2020
However, once you have a system of record in place for your data, your organization can implement many valuable data governance use cases more easily. . In this post, we’ll highlight the top three most valuable data governance use cases. The data structure and requirements are not defined until the data is needed.
Collibra
OCTOBER 15, 2020
Your organization has invested heavily in these systems, and they continuously generate valuable operational and transactional data. This data is essential to power analytics and support critical business decisions. You also need to be fully aware of the data structures of data catalogs to ensure correct mapping.
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IBM Big Data Hub
JULY 6, 2023
It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.
erwin
MAY 14, 2021
Due to the prevalence of internal and external market disruptors, many organizations are aligning their digital transformation and cloud migration efforts with other strategic requirements (e.g., compliance with the General Data Protection Regulation).
eDiscovery Daily
NOVEMBER 11, 2019
A data lake is an architecture for storing high-volume, high-velocity, high-variety, as-is data in a centralized repository for Big Data and real-time analytics. And the technology is an attention-getter: The global data lakes market is expected to grow at a rate of 28 percent between 2017 and 2023.
ARMA International
SEPTEMBER 13, 2021
Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. Leveraging a cloud-first approach also allows organizations to deliver new market-leading solutions more expediently to customers. Content Marketing Platforms (CMP). Customer Data Platforms (CDP).
ARMA International
SEPTEMBER 22, 2021
Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. While these RIM practices are still important to help ensure governance, compliance, and manage risks, it is also important to realize that information is both a product and a service.
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