Tag Archives: mdm solution
Last week, I posted this blog: Logitech MDM Case Study: Seven Lessons for Mastering Product and Customer Data (Part I of II) which shares highlights from recent webinar. Logitech’s Severin Stoll, Senior Business Engagement Manager of Global IT Solutions spoke with David Decloux, MDM technical lead in EMEA about Logitech’s Global MDM implementation, in which they are mastering product, customer and consumer data.
In this blog, I’ll share some of the highlights of the Q&A I led and results from two polls. (more…)
Human behavior studies show that if you are offered a pizza menu with a number of combination offerings as well as “build it yourself” options, you will order more toppings than if presented with a menu that only presents build it yourself. The same thing for medical tests – if a doctor is presented with a pre-filled in menu of recommended clinical tests for specific diseases (and the option to strike out tests that are not needed) they order more tests than if presented with the same order form but with nothing checked in advance. So what is the relevance for Master Data Management (MDM)? (more…)
Recently I was talking to a prospective customer who shared some challenges they faced recently– they had asked five people for a report and had gotten five different answers. Unfortunately, this is not an uncommon situation. In fact, at times it seems as though making business decisions and managing business processes is a bit like using an “origami fortune teller” — you hope you get the right answer, but you’re really leaving your fate to chance.
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…)