Tag Archives: supply chain
“Inaccurate, inconsistent and disconnected supplier information prohibits us from doing accurate supplier spend analysis, leveraging discounts, comparing and choosing the best prices, and enforcing corporate standards.”
This is quotation from a manufacturing company executive. It illustrates the negative impact that poorly managed supplier information can have on a company’s ability to cut costs and achieve revenue targets.
Many supply chain and procurement teams at large companies struggle to see the total relationship they have with suppliers across product lines, business units and regions. Why? Supplier information is scattered across dozens or hundreds of Enterprise Resource Planning (ERP) and Accounts Payable (AP) applications. Too much valuable time is spent manually reconciling inaccurate, inconsistent and disconnected supplier information in an effort to see the big picture. All this manual effort results in back office administrative costs that are higher than they should be.
Do these quotations from supply chain leaders and their teams sound familiar?
“We have 500,000 suppliers. 15-20% of our supplier records are duplicates. 5% are inaccurate.”
“I get 100 e-mails a day questioning which supplier to use.”
“To consolidate vendor reporting for a single supplier between divisions is really just a guess.”
“Every year 1099 tax mailings get returned to us because of invalid addresses, and we play a lot of Schedule B fines to the IRS.”
“Two years ago we spent a significant amount of time and money cleansing supplier data. Now we are back where we started.”
Please join me and Naveen Sharma, Director of the Master Data Management (MDM) Practice at Cognizant for a Webinar, Supercharge Your Supply Chain Applications with Better Supplier Information, on Tuesday, July 29th at 11 am PT.
During the Webinar, we’ll explain how better managing supplier information can help you achieve the following goals:
- Accelerate supplier onboarding
- Mitiate the risk of supply disruption
- Better manage supplier performance
- Streamline billing and payment processes
- Improve supplier relationship management and collaboration
- Make it easier to evaluate non-compliance with Service Level Agreements (SLAs)
- Decrease costs by negotiating favorable payment terms and SLAs
I hope you can join us for this upcoming Webinar!
So now that you understand the terminology and concepts let’s talk about business problems that can be addressed with this technology.
Inability to get to single view of customer because of matching issues
In the examples above, you can see where it can be a challenge getting the correct customer records into a single cluster. If you do not get all the same customer records together properly, you may not be treating particular customers appropriately. One example is not identifying your top customers because they are represented by multiple account numbers. Worse can be treating a very good customer poorly because you think they had only had one small transaction with you but in reality he just did not log in or use his frequent shopper card. This poor service could jeopardize the entire account. (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…)
In the world of Master Data Management (MDM), it is quite common to see a single view of customer, product, supplier, etc but one of our customers is building a Single View of Cow.
The customer is in the animal management business and they are responsible for managing the life cycle (literally!) of a cow from birth to beef stroganoff. Tracking starts with parentage, siblings and relatives, cows in proximity on the various ranches. Tracking continues to the abattoir and then follows the various beef components as they travel through the supply chain all the way to the end consumers. The main business driver is food safety regulation. If a disease shows up at some point in the supply chain, you need to be able to quickly track upstream where the cow came from and downstream all the way to supermarket shelves.
The Single View of Cow use case provides some interesting best practices for the broader MDM community…