Tag Archives: inconsistent data
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…)
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.
One of the most critical first steps for financial services firms looking to implement multidomain master data management (MDM) is to quantify the cost savings they could achieve.
Unfortunately, a thorough analysis of potential ROI is also one of the steps least followed (a key culprit being disconnects between business and IT).
This shortcoming is spotlighted in a new Informatica white paper, “Five Steps to Managing Reference Data More Effectively in Investment Banking,” which outlines key questions to ask in sizing up the cost implications of bad data and antiquated systems, such as:
- How long does it take to introduce a new security to trade?
- How many settlements need to be fixed manually?
- How many redundant data feeds does your firm have to manage?
- How accurate and complete are your end-of-day reports?
- Do you have the data you need to minimize risk and exposure? (more…)