Tag "Data Quality"

Delivering Data Quality for Everyone, Everywhere

Welcome back to my final blog in the Data Quality for Everyone, Everywhere series. If you did not see my previous blogs, you’ll find them here: Data Quality for Everyone, Everywhere and Why Data Quality Does Not Extend To Everyone, Everywhere Today. Given the financial and reputational impact of poor data quality, there is a... more

ETL vs ELT: What’s the Difference, How They Help and Common Myths

If you have been using a data warehouse in your organization or are planning to build one, chances are you have already heard about ETL and ELT. But, let’s quickly recap to set the stage for the rest of this discussion. What are ETL and ELT? ETL and ELT refer to whether you transform (“T”)... more

In Highmark Health’s Pursuit of a Remarkable Customer Experience, Trusted Data is Essential

Whether your organization is a locally owned small business or the second largest integrated healthcare delivery and financing system in the United States, you understand that providing a positive experience to your customers is critical to your success. It’s what keeps your clients satisfied. It’s what builds your reputation. It’s what keeps customers coming back for more—and telling their friends about your... more

How to Put Data to Work for Self-Service Analytics and Data Science With AI-Powered Enterprise Data Preparation

Trends driving demand for enterprise-scale data preparation Today, organizations are excited about the potential value of data to drive data-informed decisions for competitive advantage. But gaining the full value from the rapidly growing data in volume and diversity is increasingly challenging. There is also a growing demand for trusted data from every user to make... more

Informatica iPaaS Enables Data-Driven Transformation in the Tourism Sector

This blog is co-authored by Jaymin Darbari, Data Governance Lead, Abu Dhabi Department of Culture and Tourism and Hafdi Salah, Managing Partner at BBI Consultancy The travel and tourism industry depends on data to spot trends, understand what travelers are looking for, and make decisions about how to attract new visitors. But that data is... more

2021 Data Management Predictions for Financial Services

The new year brings new challenges and opportunities across the financial services industry as banks, brokerages, and life and P&C insurance companies prepare to enter it with enthusiasm and caution. To help shed some light on what might be in store, I’ve compiled a list of the top predictions in 2021 across financial services:  The... more

A Case to Reconstruct the World of Business Applications with Data Governance

Many industries worldwide deploy a wide variety of Business Applications (BAs) as a channel to offer services and, in return, they can capture, funnel, store and retrieve data which they can use for business activities such as reporting, predictive analytics, and other operations. Depending on the industry type, BAs can provide a wide array of... more

Reflections on a Year of Empowerment—Creating Value from Trusted Data at McGraw- Hill Education

In January of this year, I introduced a new webinar series featuring data governance leaders who are empowering their organizations with trusted data. As part of that series, I’ve had the privilege to sit down each and every month with a collection of experts to highlight their journey, showcase their success, and share their insights on how to get the... more

Chief Data Officers: The Opportunity for Greater Data Use

In my recent blog post, I wrote about the priorities and challenges of chief data officers (CDOs) in the financial services industry, as reported in IDC’s state of the chief data officer (CDO) survey commissioned by Informatica.[1] In this blog, I will look at the opportunity for greater use of the data collected by organizations.... more

3 Keys to Effective Data Governance in Healthcare

Data. Governance. Two words. Fourteen letters. Loaded with history and pain. The label “data governance” carries with it a lot of baggage in healthcare organizations. Most agree that healthcare data is poorly understood and inadequately documented, and that the resulting reporting and analysis is unreliable and can’t be trusted. This causes frustration among managers and... more