Tag Archives: informatica MDM
Queensland Police Service Case Study: Use Your Bad Data To Build A Compelling Data Quality Business Case
Some might think that building a data quality business case is difficult and complicated – but it doesn’t have to be.
At InformaticaWorld, I had the pleasure of meeting Graeme Campbell, ex manager of the client services group at Queensland Police Service (QPS) in Australia, where he delivered a compelling presentation titled, Queensland Police Drive Out Crime with Informatica. My key takeaway: build a simple, business-focused and results-oriented business case that inspires action. (more…)
Master Data Management (MDM) has been used by companies for more than eight years to address the challenge of fragmented and inconsistent data across systems. Over the years we’ve compiled quite a cadre of uses cases across industries and strategic initiatives. I thought this outline of the 30 most common MDM initiatives may be of interest to those of you who are just getting started on your MDM journey. (more…)
As companies increasingly explore master data management (MDM), we often hear inquiries about the usability of master data by business users.
Common questions include: Do business users need to learn and use a separate MDM application? Do they need support from IT to access master data? Can master data fit into the everyday business applications they use for CRM, SFA, ERP, supply chain management, and so forth?
If your organization has ever asked these questions, you should take a look at our new white paper, “Drive Business User Adoption of Master Data.” (more…)
One of the hottest areas of master data management (MDM) is using high quality master data to drive revenue by supporting sales and channel operations. Informatica customers have racked up some terrific successes using MDM to generate a single, reliable view of customer and account information—and here’s a key reason why.
With Informatica MDM and Informatica Data Quality, sales and channel personnel gain hands-on control of customer data, product data and channel partner data and the relationships between this data. Those customer-facing teams no longer need to spend most of their time hunting for information in the CRM system, SFA system, billing system, partner management and other systems and reconciling it in spreadsheets. And they don’t need to wait on IT to round up and deliver the data they need right away.
If you’re wondering how this works, check out our six-minute how-to demo on MDM for customer account and channel partner management. This new demo offers a practical, step-by-step walk-through of how a sales, marketing and channel operations personnel can evolve from trying to sort through the clutter of contradictory data from multiple systems to leveraging a single, actionable customer account data set that powers a 360-degree customer view in their CRM system so they can improve customer acquisition and retention.
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…)