IBM Big Data Hub
DECEMBER 19, 2023
As organizations collect larger data sets with potential insights into business activity, detecting anomalous data, or outliers in these data sets, is essential in discovering inefficiencies, rare events, the root cause of issues, or opportunities for operational improvements.
Everteam
JANUARY 22, 2019
The intersection of Structured and Unstructured Data. Today there is a clear separation on how you manage structured data (database, transactional data) and unstructured data (documents, text, videos, images, email, social media, etc.). But it doesn’t have to be this way. But it doesn’t have to be this way.
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IBM Big Data Hub
DECEMBER 16, 2022
Imagine walking into the largest library you’ve ever seen. Fortunately, the library has a computer at the front desk you can use to search its entire inventory by title, author, genre, and more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.
Brandeis Records Manager
JULY 28, 2016
Your industry may dictate your relationship with your library people, if you even have a relationship with them. In academia, records management tends (not exclusively) to be grouped organizationally with library and archival units. In one sense, we are the Charlie Brown of an academic library department.
erwin
JUNE 26, 2020
If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations need a data catalog because it enables them to create a seamless way for employees to access and consume data and business assets in an organized manner. Technical Metadata. Business Metadata.
ARMA International
SEPTEMBER 22, 2021
AI can analyze this vast amount of data from many sensors and combine it with other sources such as weather forecasts and historical data to recommend options for action. This includes defining the product scope of the DT journey and the digital products and services that will deliver transformative change for a new future.
CILIP
JANUARY 24, 2022
Data and Analytics (DA) is about measurement and insights. Information Management (IM) is about structure and standards, orchestrating a consistent information architecture and associated master data that creates, we hope, a cohesive information systems user experience. s biggest sporting event during a pandemic. ve built many teams.
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