Topic "Big Data"

Why Do Enterprises Today Need Data Cataloging More Than Ever?

The data landscape is changing and growing rapidly. Data has become the new competitive battlefield of our time. As a result, many organizations today are committed to become “data-driven.” However, leading organizations seem to be failing in these efforts. The 2019 Big Data and AI Executive Survey published by NewVantage Partners revealed the percentage of... more

Deep Metadata Extraction and Data Lineage with an AI-Powered Data Catalog

The importance of data lineage and deep metadata extraction cannot be over-stressed.  Data lineage is key to building trust in data.  Without data lineage, it would be virtually impossible for any enterprise to derive value from its data or embark on any strategic initiative at scale such as data governance and compliance, self-service analytics or... more

Honeywell Speeds Data-Driven Industrial Automation with Informatica Enterprise Data Catalog

Recently, we had the pleasure of hosting the Intelligent Data Summit for AI-Powered Innovation on Informatica Live, Informatica’s award-winning virtual event series. The event drew a who’s who list of speakers from Global 2000 companies and showcased presentations by Informatica customers, partners, industry analysts, and thought leaders. As part of the summit on AI-Powered Innovation,... more

Data Asset Analytics: Breaking Barriers to Maximizing Data Value with Data Cataloging

Earthrise, the dazzling Blue Marble photograph of Earth, has been a great inspiration for me. Apollo 8 astronauts on the first human-crewed mission to the moon took this awe-inspiring photograph. It is a powerful image representing the progress in travel exploration made possible through barrier-breaking inventions of the wheel to go farther on land, ships... more

Leave No Metadata Behind with AI-powered Enterprise Data Catalog Advanced Scanners

Metadata connectivity is a critical component of data cataloging. It  helps establish the unified metadata foundation required to drive successful data-driven digital transformation initiatives with intelligence and automation.  At Informatica, we have been working with many of the leading Global 2000 and Fortune 500 enterprises across industries and geographies to help them intelligently catalog and... more

Master the Art of Data Science With Self-Service Data Preparation

Data preparation is what every AI and machine learning project needs right now. Roughly speaking, data preparation involves cleansing and transforming data before it’s used in analytics. To explain why it’s so important, let’s take a step back to an ancient board game. Go is a popular board game with origins in Asia. The aim... more

Hackensack Meridian Health Accelerates Digital Transformation with AI-Powered Informatica Enterprise Data Catalog

Healthcare has long been a top priority for citizens and governments alike, and for all the right reasons – from curtailing the cost of healthcare, delivering optimal patient care, protecting patient data, to IT modernization and digital transformation of our healthcare system.  After all, nothing is more important than our health.  And this realization often... more

Speed Your SAP Digital Transformation Initiatives with Informatica Enterprise Data Catalog

SAP systems have long been considered the “backbone” that supports business operations for enterprises of all types and sizes. Businesses rely on SAP end-to-end business solutions, in-memory databases, and data warehouses among other SAP technologies to enable a plethora of business functions. According to SAP, 77% of the world’s transaction revenue touches an SAP system.[1] ... more

Accelerate Smarter Decision Making with Informatica Enterprise Data Preparation

In this data-first world, a company’s success depends on every team member using data to accelerate business decisions. Every enterprise has data, but their DataOps team needs to be empowered to collaborate to find actionable insights and solutions. Industry research suggests most data engineers spend 80% of their time cleansing, curating, and preparing their data... more