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5 Critical Classification Requirements You Must Know

Posted by Richard Turner on Mar 21, 2018 12:30:00 PM

Taking the right approach to implementing a good classification structure will yield many benefits to your organization. However, if you don’t do the right up-front planning, you may end up with significant rework or your program may just stall or die.  There are some important steps to take early in the planning phases to help insure your program is a success providing critical benefits to your company. CDS will leverage its 15+ years of experience executing challenging classification programs across a variety of industries and companies to help you successfully plan and execute a new classification structure inside your organization.

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Topics: Data Cleansing, Classification

PLM World: Indianapolis May 8-11th 2017

Posted by Alison Luna on Apr 19, 2017 11:12:44 AM

We are excited to be participating in PLM World again this year.  We will be presenting jointly with our customer National Oilwell at the conference – Transforming Part Data for Optimal Teamcenter Effectiveness at National Oilwell. Wednesday May 10, 2017 (10:15 AM - 11:00 AM) in Room 2016. If you can’t make the presentation, visit us at booth 506 during exhibit hall hours Tuesday-Thursday.

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Topics: PLM World, Teamcenter, Data Cleansing, Classification, National Oilwell Varco

3 Approaches to Complexity Reduction

Posted by Richard Turner on Jan 26, 2017 10:14:08 AM

Reducing complexity of your direct material supplier parts can help drive significant savings within your company. Similar to our recently published blog which described the importance of conducting internal price benchmarking activities as a prerequisite to competitive benchmarking on a company’s direct material purchases. In both scenarios it’s surprising what you find when you are able to cleanse and enrich your purchase part data,  it can expose a variety of opportunities to reduce direct material spend without having to make major changes to your products. To reduce the complexity, we recommend grouping your direct material spend into these 3 groups:

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Topics: Part cost, Governance, Benchmarking, Classification, Part Cleansing, Manufacturer Parts, Data Cleansing

2016 Top Data Quality Blogs

Posted by Alison Luna on Dec 21, 2016 1:17:00 PM

 

Convergence Data knows the importance of your part data. We know that part data is a core asset for your company, and the quality of that data is fundamental to the health of the business and the bottom line. Start the new year right with a review of the best ways to get your data clean in 2017. Below is a recap of the top 2016 data quality blogs we published to help you stay on top of your company’s core assets in the New Year.

 Top 5 Data Quality Blogs of 2016:

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Topics: Data Cleansing, Governance, Manufacturer Parts, Part Cleansing, 2016 Top Blogs, Part cost, Duplicate Parts, Benchmarking, Cleansing Data, Classification

4 Key Factors to a Successful Part Cleansing Project

Posted by Alison Luna on Nov 9, 2016 10:47:45 AM

As Steven Covey noted in 7 Habits of Highly effective people  you should begin with the end in mind.  When starting a direct materials data cleansing project, you need to ask yourself, what is the goal of improving the direct materials data?  Cost savings? Sourcing efficiency? Improved insight through reporting and analysis?  To answer these questions and achieve success, engineering and procurement need to work together to obtain the answers. First you need to know what are the overall company goals? From there all the following questions can be answered.

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Topics: Governance, Classification, Data Cleansing, Product Analytics, Manufacturer Parts

4 Critical Steps to Control Duplicates

Posted by Richard Turner on Jul 14, 2016 9:22:25 AM

Duplicate parts are the software bugs of the data world, hard to identify without specific tools and processes in place. If these “bugs” are not found in implementation they can be ultimately time consuming and costly down the road.  For these reasons it is crucial to get ahead of the issue as soon as possible, optimally during a data migration project or switch to a new platform.   For example, an SAP ERP data migration involving cleansing and classifying purchased parts from multiple legacy systems from US and International locations would be the perfect time to detect, isolate and deal with duplicate parts. The best case would be to have lead time of 6 to 12 months prior to the actual cutover to clearly find these duplicates and to give enough time to formulate the best plan to deal with these duplicates. Some may want to remove duplicate parts all together, while others may want to look for ways to consolidate and rationalize this data to help mitigate duplicate inventory, still others may want to associate them for purchaser’s reference for ordering and price comparisons.  Regardless of final goal for your company you first need to identify them through these steps.

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Topics: Data Cleansing, Duplicate Parts, outsourcing, Classification, Manufacturer Parts

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