Tag "Master Data Management"

A Toast to Our Intelligent Data Disruptors This Holiday Season

As the end of 2020 approaches and the holiday season is in full swing, we’re raising our glasses to celebrate our Informatica customers—our Intelligent Data Disruptors. Our customers have made 2020 a monumental year with their data-driven initiatives. Here are a few success stories we’re excited to shine some extra light on this holiday season:... 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

Chief Data Officers: A Financial Services Perspective

In my last blog, I wrote about the challenges and opportunities for the four archetypes of data leadership identified in IDC’s state of the chief data officer (CDO) survey [1] commissioned by Informatica. In this blog, I will look at the priorities and challenges reported by chief data officers in the financial services industry. The... more

We Get by With a Little Help From our Data Management Friends… and Star Trek

If you’re like me, you’ve been sheltering in place at home for the past eight months and you’re on your fourth round of watching “Star Trek: The Next Generation.” Okay, maybe that’s just me, but if there’s one thing I take away from 2020, it’s that when times are uncertain, we can always lean on... more

Chief Data Officers: Challenges and Opportunities

In my last blog, I wrote about the four archetypes of data leadership identified in IDC’s state of the chief data officer (CDO) survey [1] commissioned by Informatica. In this blog, I will dive deeper into the challenges and opportunities for each of those archetypes (Governance Gurus, Operational Optimizers, Analytics Champions, and Digital Innovators). For... more

Four Critical Success Factors to Deliver Rapid Business Value with Your Master Data Management Implementations

Taking A Modern Approach So Your MDM Implementations Aren’t Lengthy, Difficult, or Costly  Master Data Management (MDM) implementations have successfully delivered value across nearly every industry, sector, and geography.  MDM has been a staple in data architectures for over 20 years and is recognized as a mature technology—but that doesn’t mean it’s stopped evolving.  What is Master Data Management?  Organizations... more

COVID-19’s Impact on Data Governance and Risk Management Across Financial Services

Managing and monitoring credit, market, liquidity, and operational risk across financial markets was hard enough with ongoing geopolitical tensions, international trade wars, and of course the occasional hurricanes and earthquakes. The current pandemic is forcing chief risk officers and their teams to recalibrate old assumptions and models used to manage and monitor risk. Innovations in... more

A Business 360 Delivers Context to Realize a Successful Digital Transformation

Digital transformation has been a strategic corporate initiative for some time. Since the rapid onset of COVID-19, the pressure to transform has accelerated and become mission critical as digital has become the primary—or only—channel for most industries. What is digital transformation? Fundamentally, it is about converting analog processes to a digital format. The result is... more

Rein in Improper Government Payments With Data Management

Improper payments have been a growing challenge for government entities as they work to support citizens in times of crisis. In 2019, over $175 billion in improper payments were issued by the Federal Government. That’s a 15% increase from 2018. Underlying factors around improper payments are not always due to fraud—inaccurate citizen data, coding errors,... more

Data 4.0: A New 360-Degree Perspective With Master Data Management

We’ve been on an exponential path with data over the last decade. During Data 1.0, we used data to drive specific business applications and those applications managed master data. Data 2.0 saw data supporting enterprise-wide business processes and we used master data management (MDM) tools to ensure consistency of master data across applications. And in... more