Tag "data catalog"

EIC Discover for Tableau: In Context Data Catalog for Self Service BI

A data catalog is essential to provide a single place for data discovery for all kinds of data consumers: business users, data analysts and report developers. A large majority of these users have already chosen Tableau as the Business Intelligence and Analytics platform of choice. Informatica’s Enterprise Information Catalog allows data owners and data stewards to curate... more

Need a Shopping Experience for Data Assets? An Intelligent Data Catalog is your Best Ally

I am a big fan of online shopping. Whether it is back to school or holiday shopping, I enjoy the shopping experience, flexibility and quick access to goods in the comfort of my home. I can quickly sift through thousands of items, get product details, read consumer recommendations, review alternate options and ultimately make that... more

Informatica Proud to Take Home Two Datanami 2017 Reader’s Choice Awards

A big thank you to everyone who voted for the Datanami 2017 Data Management Cataloging and Prep Reader’s choice awards. We are honored to receive first place recognition in both– the “Big Data Product or Technology: Data Management(Cataloging)” and “Data Management(Prep)” categories. Many of our customers use Informatica’s AI-Powered Data Catalog for a variety of... more

Digital Transformation: Finding Your Data is Half the Battle

You’ve undoubtedly heard all the hype about the volume of data doubling every two years.  The sad fact is that first, it’s true and second, 50% of data is coming from external (read: less controllable) sources. That means it’s getting harder and harder to find the forest (read: business insight) for the trees.  Wouldn’t it be great if you had a data catalog that could show you exactly what data you have across your entire organization?

Information Catalog – An Essential to Data-driven Success

Recent research show that more energy from Sun hits the Earth in an hour than the amount of energy we consume in an entire year. That is in fact unimaginable amount of energy. It reminded me of how every IT organization is dealing with the amount, types and volumes of data and data assets that is... more

The Next Generation of Metadata Management (Part 2)

In Part 1 of this series, we began with the roots of Metadata Management. In this post, we look at the need to have an enterprise metadata cataloging solution. Big Data’s close relation to Metadata Management Now is the new era of Big Data. This includes the next-generation capabilities of various areas including machine learning, predictive... more

Self Service BI vs Data Governance: How to be “Data Agile” with a Catalog

Business users always had an insatiable hunger for data. They were already discovering and mashing up data from different sources, aggregating them in excel and presenting PowerPoint analysis in the 1990s, albeit with difficulty. Then technology caught up. Self-service Business Intelligence tools like Tableau, Qlikview and more recently Amazon QuickSight made the aggregating, visualizing and sharing... more

Classify to Completion: A Data Cataloging Story

Recently I was speaking to a customer in the financial services industry. He had an interesting requirement. He wanted to classify all data assets in the organization by associating the right semantic label with each data asset. The phrase he used was “classify to completion”. According to him this classification was a key first step in... more

Fear Not! Get Out of Data Mess with a Good Data Catalog

Every organization today wants to use data as competitive advantage to drive profits, reduce cost, improve customer experience and stay ahead of the competition. Organizations are investing in data related projects that will empower their business uses to make good timely decisions. However, these days, business users are not just accessing data warehouses for their... more

The Next Generation of Metadata Management (Part 1)

This is Part 1 of a series on the Next Generation of Metadata Solutions. In this post, we begin with the roots – The need to revamp existing metadata management solutions. History Metadata Management originated in the late 80s and early 90s, when Data Warehousing was sowing its roots. Businesses had expanded their definitions for... more