2016 TOP DATA QUALITY BLOGS

2016 TOP DATA QUALITY BLOGS

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Convergence Data knows the importance of your part data. We know that part data is a core asset foryour 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.

 

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Top 5 Data Quality Blogs of 2016:

1)  Five Best Practices for Part Classification– 1. Define a classification structure. 2. Identify critical attributes, 3. Prioritize parts/material to migrate, 4. Don’t get hung up on creating the structure – begin with the end in mind, and 5. Leverage resources – smart part numbers, description fields, commodity codes, suppliers, etc.

2)  3 Key Teamcenter Data Migration Steps – You have heard it a million times before, garbage in garbage out, but how do you prevent bad data from going into your
key systems like Teamcenter?  The answer is actually easier than you would expect, pre-planning, organizing classification models, and some up front data cleaning in a  staging environment is the key.  Whether you are migrating several systems to one existing system or doing a new migration you should have a staging system where you consolidate classification structures, harvest and enrich data then normalize and validate the data.

3)  Part Proliferation – Organizational Impact – Why is Duplicate Part Proliferation Overlooked? It is unfortunate to overlook the proliferation of duplicate parts, since eliminating duplicates or near duplicates is an excellent opportunity to improve design and save money.

4)  4 Key Factors to a Successful Part Cleansing Project – 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.

5)  Effective Price Benchmarking – Everyone is trying to determine what competitors are charging for their products through competitive benchmarking but will that really help you make a bigger profit? Maybe, but the real gold is in your existing purchase
parts. Use the data you already have in house and compare purchased part costs that your company has incurred over the past two years. This data will allow you to truly increase your profit regardless of competitor pricing.   Price benchmarking looks outward but for optimal profit you must first look inward.

 

About Convergence Data

Companies with chaotic or incomplete data trust Convergence Data to scrub that information into an organized, efficient structure. The company specializes in: 

  • Minimizing part duplication
  • Cultivating part standardization and re-use
  • Reducing part count
  • Streamlining inventories
  • Improving leverage with vendors
  • PLM/ERP migrations

Convergence Data enables customers to manage data in a variety of industries, 
including Aerospace and Defense, Appliances, Automotive, Electronics, Industrial Manufacturing, and Oilfield Services. 

For companies deploying PLM or ERP solutions, the cleansing, classification, and data enrichment services from Convergence Data can be a significant benefit. 

To learn more about Convergence Data and receive a Data Value Analysis (DVA) go to: www.convergencedata.com.


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