Enable Data Democratization and Self-Service With a Data Marketplace

To do their jobs well, people across an organization need quick and easy access to data they can trust. By providing that access, CDOs enable organizations to identify new opportunities, introduce operational efficiencies, and build new products and services to grow revenue. But many of the people needing access lack technical skills. So, how can... more

Informatica and Snowflake: Successful Digital Transformation at Enterprise Scale

More and more aspects of life and work are becoming digitized. The world has awakened to the value of the massive amounts of data that this new reality generates. Data is arguably the most critical asset across an organization—and companies that leverage it to increase revenue, reduce costs, and gain competitive advantage are the best... more

If Data is Everywhere—Then Data Quality Needs to Be Everywhere as Well

And if data is being used by everyone, then everyone must have access to quality data All organizations have data quality issues. These issues are usually exposed during digital transformation initiatives: when organizations move volumes and varieties of data between applications to an ever-increasing number of transition applications and data center workloads to the cloud... more

How Informatica Puts Customers First

In this post, guest blogger Blake Morgan, consumer futurist and author (“The Customer of the Future”), discusses the three key components of Informatica’s customer-centric approach. In the competitive software space, customer experience makes all the difference. Many B2B companies limit their resources on customer experience, but Informatica knows focusing on customers sets the culture and... more

Cloud Integration Hub: 7 Ways to Reduce Integration Costs and Improve Productivity

Co-authored with Ruma Sanyal, Director, Hybrid Integration Platform and iPaaS. A digital business calls for a well-connected infrastructure. Your digital transformation will fall flat, however, without a successful data and application integration strategy. Integration is challenging because there are ever-changing requirements, such as new business initiatives, technology evolution, mergers and acquisitions, competitive maneuvers, and newly... more

From Hand Coding to Automated, Intelligent Data Integration – A Year in the Life of a Data Management Team

At a Monday morning scrum meeting, Sam, VP of Data Management, discusses plans to modernize current on-premises data infrastructure to a cloud-based data warehouse and data lake. This IT-led modernization project will achieve scalability, elasticity, agility, and bring it better performance. Part of the project plan includes a data ingestion and processing framework  to process... more

7 Habits of Highly Effective Artificial Intelligence (AI) and Machine Learning (ML) Prototypers

Modern machine learning (ML) practitioners are accustomed to living the agile way: building success incrementally, failing quickly, and going through that “feature extraction > feature selection > modelling > evaluation” loop many, many times. A successful ML solution isn’t luck: it’s all about taking a small step, learning as much as possible from it, and... more

Building Your Cloud Lakehouse – Do You Have a Solid Data Management Foundation?

What do you think about the latest hot topic – cloud lakehouses? A lakehouse conjures up images in my mind of peace and tranquility – a beautiful house next to a stunning lake. In the world of technology, cloud lakehouses hold a similar promise of utopia. However, without a solid foundation of cloud-native data management,... more

Setting the Foundation for Enterprise Cloud Data Warehouses—Part 1

As the founder of modern management, Peter Drucker, once said, “If you can’t measure, you can’t improve it.” In an effort to modernize their enterprise data and analytics systems, many businesses are considering moving to cloud-based enterprise data warehouses. But to get there, they face challenges around legacy data and increases in disparate data sources, as well as in data volume, velocity, and integration silos.... more

Sensitive Data Management—Are You Prepared?

Today’s data-driven organizations are on a data privacy governance journey—whether they realize it or not. So, what does that mean? More importantly, what kind of impact will it have on your organization? Businesses that use sensitive, personal data to help drive customer relationships and digital transformation programs are seeing a veritable rain cloud of new... more