Informatica MDM and Data Ladder are both data quality solutions. Discover which tool best fits your organization's needs for data quality by reading this comparison. Image: Mark/Adobe Stock One of the ...

Positioned Furthest on the Completeness of Vision Axis and Highest on the Ability to Execute Axis REDWOOD CITY, Calif.--(BUSINESS WIRE)-- Informatica (NYSE: INFA), a leader in enterprise AI-powered ...

Advanced AI has powered intelligent data management specialist Informatica to leading status in a new report from research firm Gartner on augmented data quality solutions. In that firm's "Magic ...

REDWOOD CITY, Calif.--(BUSINESS WIRE)-- Informatica® (NYSE: INFA), an enterprise cloud data management leader, announced that Gartner, Inc. has once again recognized the company as a Leader in the ...

Business is looking for insight from the four V’s of big data – volume, variety, velocity and veracity. However, data analysts still battle to find and harness all types of data across the enterprise.

Often, there are data sources within businesses that are left widely untapped, or at least, not optimized to their fullest potential. These streams of data—whether it be database transactions, web ...

Informatica (NYSE: INFA), an enterprise cloud data management leader, today launched the industry's only free cloud data loading, integration and ETL/ELT service - Informatica Cloud Data ...

Since extreme weather events have become catastrophic across the globe, environmental, social and governance compliance has become top of mind for enterprises. This is why an intensive-data approach ...

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Informatica (NYSE: INFA), an enterprise cloud data management leader, unveiled a trio of native integrations with Microsoft at Informatica World currently ...

Informatica, an enterprise cloud data management provider, at its Informatica World event in Las Vegas unveiled several integrations, including tie-ins with Snowflake, Microsoft, and Claire GPT. Among ...

Data and analytics (D&A) leaders must continuously improve data quality to ensure the success of master data management, artificial intelligence (AI), machine learning (ML) and more. As you evaluate ...