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.). They may not all happen this year, but they are coming.

Information governance 58

Information governance Government Unstructured data Analytics 58

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.

Metadata 52

Metadata Data Privacy Access Libraries 52

erwin

JUNE 26, 2020

A data catalog uses metadata, data that describes or summarizes data, to create an informative and searchable inventory of all data assets in an organization. Another classic example is the online or card catalog at a library. Sales are measured down to a zip code territory level across product categories.

Metadata 132

Metadata Unstructured data Compliance Sales 132

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. For example, once a health record has met the regulatory requirements, the record can be anonymized and kept for years for such purposes as medical research and predictive analytics. Artificial Intelligence.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

IBM Big Data Hub

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?

Analytics 77

Analytics Cloud Unstructured data Libraries 77

CILIP

JANUARY 24, 2022

Data and Analytics (DA) is about measurement and insights. We develop self-service options that keep up with the demand for analytic capability. We quite often retire blocks of knowledge which are no longer relevant to specific learning (though we do keep it all in a reference library). If you can?t t measure it, you can?t

e-Delivery 52

e-Delivery Analytics Unstructured data Information architecture 52