Tag Archives: Disparate applications
We often hear from our Informatica MDM customers about the main benefits they’ve realized from master data management (MDM)—smarter, faster decision-making and greater productivity though timely and reliable data. What’s less widely recognized is that MDM is proving to be a powerful cost-saving engine, as well.
For instance, a global investment bank saved millions of dollars by using Informatica MDM to virtually eliminate maintenance and support costs for a complex web of point-to-point integrations. If you’re using or considering MDM, it’s a smart idea to assess the costs of unintegrated data systems and examine cost-saving strategies and tactics available through a multidomain, model-driven MDM solution.
We’ve just published a new white paper, “Seven Ways to Reduce IT Costs with Master Data Management,” that drills down into using MDM to target the redundancy, waste, inefficiency, and unnecessary maintenance and licensing typical of a heterogeneous data infrastructure. A sampling of these seven critical areas includes:
- Interface costs: How you can minimize costly point-to-point integrations that support key business processes
- Redundant third-party data: How you reduce acquisition costs of duplicate data from third-party providers such as Dun & Bradstreet or Acxiom
- Data cleanup: How you can efficiently centralize data quality to eliminate expensive manual efforts (more…)
The CEO of a global technology products manufacturer had a simple question: “I need a list of our top 400 global customers by revenue—immediately.”
The boss got his answer—six weeks later.
That’s how long it took the company’s IT team to root through disparate applications, engage data owners in various business units and geographies, and manually reconcile granular data to answer a basic question that bears directly on the bottom line.
It’s a true story, and one with a happy ending. This multibillion-dollar company implemented Informatica MDM for multidomain master data management (MDM). It exploited the solution’s capabilities and followed best practices in aggressively tackling business-critical data challenges.