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Outsourcing Data Cleansing: Top 5 Best Practices

Posted by Richard Turner on Jun 27, 2016 2:14:37 PM

It may seem like a scary proposition to send your data outside your organization to be improved.  Who do you send it too, what do you provide them, how much is it going to cost, how do you know if the data is correct, how can you make it successful.  At Convergence Data we have learned to bridge this gap between outsourced data cleansing operations and US based companies – to make it a successful experience.  There are some basic practices to follow that we have learned we can share.

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Topics: Cleansing Data, Classification, Product Analytics, outsourcing, Data Cleansing

Effectively Migrating Data to Teamcenter Classification

Posted by Richard Turner on May 4, 2016 4:55:46 PM

PLM World: Orlando, Florida May 16 - 19th 2016

We are excited to be presenting a case study at PLM World about effectively migrating data to Teamcenter classification.  I hope to see you there! The Convergence Data Services (CDS) Team will be available in the solutions center for any follow up questions near booth 321 throughout the conference.  If you are unable to attend PLM World this year and would like to see the presentation, please contact CDS and we can arrange a meeting to review this case study with you.

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Topics: Cleansing Data, Product Analytics, PLM World, Teamcenter

2 Critical Product Analytics Your Company is Ignoring

Posted by Richard Turner on Apr 14, 2016 3:34:37 PM

When your company is under pressure to deliver new products, internal data can help you identify trends and make good decisions. Two of the most important data sets to review are your sales analytics and spend analytics.

But why exactly are analytics so important?

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Topics: Cleansing Data, Product Analytics

Challenges Managing Duplicate Parts

Posted by Ryan Donovan on Sep 1, 2015 12:11:00 PM

1. Overview

Duplicates and near duplicates add costs throughout a products lifecycle, so it sensible to standardize on parts and avoid creating redundant or duplicate parts. Identifying duplicates and near duplicates is a cost effective exercise with excellent ROIs.

Finding exact duplicates is not too difficult, however identifying near duplicates can be difficult. For example, two screws might have the same thread size, same length, and same coatings. Viewing the items in a stock room, it might not be able to tell the screws apart. However, the material strengths of the screws might be different and to haplessly swap the screws could have catastrophic results.

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Topics: Cleansing Data

Part Proliferation – Organizational Impact

Posted by Ryan Donovan on Aug 19, 2015 10:31:00 AM

1. 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.

  1. Duplicate part proliferation is underappreciated since the costs are not readily apparent nor fully understood.
  2. Non-existing or inadequate search tools and processes to find appropriate parts and identify duplicate parts complicate the situation.
  3. Short-term deadlines to complete a design take priority ahead of longer-term cost savings from reducing duplicates.
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Topics: Cleansing Data

2 Approaches to Cleansing Data

Posted by Ryan Donovan on Aug 19, 2015 10:10:00 AM

1. So you realize your data is a mess

Do you have good data? Can your engineers and designers quickly find parts to 

complete their design? Is your part data complete enough to determine if duplicates exist? Are your descriptions consistent and complete enough to sufficiently describe the form and functional specifications of the part? If you answered no, then perhaps it is time to cleanse your data.

After realizing you need to cleanse your data, the question becomes how to clean the data.

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Topics: Cleansing Data, Classification, Duplicate Parts

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