Tag "MDM"

Leadership and Vision: Why Informatica is in the Best Position to Help Organizations Succeed

Leadership and vision are two critical tenets of a successful business. While leadership is about focusing attention on what matters most to customers, vision is about how we deal with today’s realities, as well as how we address the future. Vision represents who we are and what we stand for. Leadership and vision—and how they... more

Become CX Obsessed in 5 Easy Steps

Lessons learned from Informatica’s 2nd Annual CX VIP Summit Do you wake up thinking about your customers? Are you obsessed with Customer Experience (CX)? Every time a customer engages with your brand—be it at a retail store, check-in counter at a hotel, registration desk at a hospital, online via your website or mobile device—they are... more

Informatica and Deloitte Deliver Data Management Expertise

This blog was co-authored by Binit Tejani, Data & Analytics Alliances Lead, Deloitte UK. Having partnered on the delivery of cloud solutions for some 14 years now, Deloitte and Informatica joined forces again at the recent Deloitte Experience Analytics conference in London to showcase how we enable our clients to use intelligent data to improve... more

4 Innovative PxM Best Practices from Smart Brands and Retailers

In a recent Product Experience Management (PxM) blog, I discussed how PxM relates to Product Information Management (PIM) and Master Data Management (MDM), and how it can drive success in digital marketing and ecommerce. In this blog, I will share some innovative best practices from smart brands that use PxM for increased customer engagement, loyalty,... more

8 Best Practices for Cloud Master Data Management

Cloud computing has gained a lot of attention in the last decade since Amazon Web Services (AWS) first launched in 2006. Amazon has been the undisputed leader in the fundamental shift in the delivery of products and services to end customers ever since, but its dominance is now being challenged by an aggressive push by... more

Avoiding the Garbage-In, Garbage-Out Problem with Your Descriptive Analytics Workflow

We all understand the importance of deriving the right insights from our data.  In order to stay competitive and thrive in today’s business climate, organizations need to have a holistic, 360-degree understanding of their customers and their operations.  Sometimes, however, we can often get carried away with the whole process of collecting and interpreting our... more

Data Processing Pipeline Patterns

Data produced by applications, devices, or humans must be processed before it is consumed. By definition, a data pipeline represents the flow of data between two or more systems. It is a set of instructions that determine how and when to move data between these systems. My last blog conveyed how connectivity is foundational to a... more

Create the Optimal Healthcare Provider Network Designed for Quality Outcomes

To Build a Better Provider Network, Start with Better Data About Your Providers There are a lot of reasons healthcare payers want to build optimal provider networks. An optimal provider network is smarter: it lets payers synthesize data from many different systems, including recruiting, credentialing, claims, reimbursements, utilization, quality, fraud detection, and more. With an... more

Embracing Transformation with Intelligent Data at HIMSS19

The signs of disruption in the healthcare industry are everywhere: Massive mergers. Major employers test driving new data-driven employee-based population health and preventive care programs. A major online retailer acquiring a pharmacy benefits administrator. It’s an exciting and transformational time for the healthcare market, and the possibilities are extraordinary. Patients can benefit from better information... more