According to industry analysts, master data management (MDM) has become the hottest data management method for data and analytics. Unfortunately, all too frequently many master data management implementations fail. In this Back to Basics series, we continue simplifying some of the major concepts of master data management, explain why MDM is needed, and provide examples of the value MDM can deliver to organizations of all sizes. Join Informatic...

Successful and modern institutions put data at the heart of every decision they make. Join us for the Enabling Educational Institutions with a Cloud Data Governance & Catalog webinar. To modernize your data and applications in the cloud—and become a truly data-driven institution — you must be able to find, understand, access, and trust your data. You need a unified, comprehensive data intelligence service. One that lives native...

Cloud data warehousing provides on-demand, unlimited capacity for analytics, but how do you get from your rigid, expensive on-premises enterprise data warehouse to Azure Synapse Analytics? Join this virtual leaning lab and achieve analytics agility and scale with cloud data warehousing with Azure Synapse Analytics (formerly Azure SQL Data Warehouse). Using Informatica Enterprise Data Catalog and Intelligent Cloud Services (iPaaS), you can acce...

Master data management (MDM) is key to managing all the critical data that drives your analytics efforts and digital modernization initiatives. To ensure your success with it, you need to understand what MDM is, why it matters, and how to get the most value from it. Managing your supplier relationships across your supply chain is critical to business success and allows for proactive response to changing trends, market volatility, and other dis...

Cloud data warehousing provides on-demand, unlimited capacity for analytics, but how do you get from your rigid, expensive on-premises enterprise data warehouse to Azure Synapse Analytics? Join this virtual leaning lab and achieve analytics agility and scale with cloud data warehousing with Azure Synapse Analytics (formerly Azure SQL Data Warehouse). Using Informatica Enterprise Data Catalog and Intelligent Cloud Services (iPaaS), you can acce...

Quality operational data provides the overmatch needed to take data to the valued asset level so that the US DoD remains #1. The Department of Defense has mandated all DoD leaders “treat data as a weapon system and manage, secure, and use data for operational effect.” To achieve this mandate, the DoD Data Strategy lays out seven goals to transition towards data-centric operations: VAULTIS, to make data Visible, Accessible, Understa...

Discover how the latest features in Informatica’s AI-powered cloud-native data management solution help you get the right data to the right person at the right time, simply and scalably. “What’s New in Informatica’s Cloud Data Warehouse & Data Lake Solution” is a deep dive and demo exploring what’s new in our zero-footprint advanced serverless deployment option with integrated metering dashboard and easy...

Effective analysis of your customer data can yield timely insights to help you elevate your customers’ experience. However, traditional data warehouses have fallen behind in their capabilities relative to the new cloud options. Modernizing and moving your data warehouse to the cloud can offer improved access to data leading to smarter analytics. If your data is currently on-premises with vendors such as SAP, now may be the right time to...

Delivering effective, engaging customer experiences requires you to see and understand your customer relationships from every angle. By identifying the technological and organizational gaps that create blind spots, you can plan and prioritize the next steps in your digital transformation. Join experts from Eckerson Group and Informatica for “An Executive Guide for Creating a Customer 360 Strategy” to learn what you need to consider...

The role of quality data has become very critical for the success of organizations’ digital transformation efforts. However, true value can only be derived after the raw data has been sorted, processed and analyzed without increasing infrastructure costs. Organizations are looking to drive agility and maximize the potential of their digital transformation initiative(s) by building new systems or modernizing consolidating existing on-prem...