Global Trends and Growth Potential in the Intelligent Data Catalog Market
According to
Quadrant Knowledge Solutions, an Intelligent
Data Catalog (IDC) is a comprehensive metadata repository that inventories
an organization's data assets. It includes AI and ML models, unstructured and
structured data, data profiling, lineage, classification, data queries, and
reports. IDCs help data professionals connect, collect, discover, organize,
access, understand, consume, and enrich data more effectively. They enable
users to find the most appropriate and usable data for analytical or business
purposes while providing exclusive access to metadata such as data definitions,
synonyms, and critical business attributes, along with usage instructions.
Furthermore,
an Intelligent Data Catalog enhances data governance, operational revenues,
profits, and precise insights alongside self-service analytics, significantly
boosting operational productivity and customer satisfaction.
An
intelligent data catalog offers a centralized platform to integrate data from
both internal and external sources, enhance data quality, and present a
unified, contextual view of metadata, their relationships, and usage. It can
gather data from a variety of sources, including on-premises systems, cloud
platforms, data warehouses, data lakes, IoT devices, social media, and external
databases.
Key
questions this study will address include:
·
Is
the Intelligent Data Catalog market growing? What are the short-term and
long-term growth potentials of the market?
·
What
are the key market accelerators and restraints impacting the global Intelligent
Data Catalog market?
·
What
are the major end-user industries for Intelligent Data Catalog solutions?
·
Which
industries offer the most significant growth opportunities during the forecast
period?
·
Which
global regions offer the most growth opportunities in the Intelligent Data
Catalog market?
·
Which
customer segments have the highest adoption of Intelligent Data Catalogs?
·
What
are the various deployment options for Intelligent Data Catalogs?
In terms
of strategic market direction:
Utilizing
machine learning, artificial intelligence, and automation, intelligent data
catalogs enable business, IT, and data governance professionals to identify
complex data relationships, enhance data quality, uncover duplicate datasets,
draw semantic inferences, recommend alternative datasets based on quality and
usage, and understand data lineage.
The
advancement of intelligence in data catalogs has significantly enhanced search
capabilities, improved data quality management, and provided more sophisticated
data governance functionalities. These innovations have transformed data
catalogs into highly effective tools for organizations that rely on data-driven
decision-making.
Vendors
covered in this study:
Alation, Alex
Solutions, Atlan, BigID, Boomi, Cloudera, Collibra, data.world, denodo, erwin
by Quest, Hitachi Vantara, IBM, Informatica, One Trust, Precisely, Qlik,
Talend, Tibco, and Zaloni.
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