If you’re one of the many global Siemens solutions users benefitting from its cutting-edge tools and technology, you know why we’re excited about Siemens Realize LIVE.
If you’re not, let us fill you in.
It’s an opportunity for Siemens users to connect, collaborate, and work together to move our technology and world forward. This four-day conference, held this year in Las Vegas, NV, is full of innovative problem-solvers sharing their actionable tips for topics like model-based systems engineering, autonomous everywhere, and more.
If you’re not attending Realize LIVE, you don’t have to miss out on the excitement. Our team will return with some great insights to share with you, especially if you’re a member of our Classification Community. In the meantime, let’s explore more about Teamcenter classification, and how it can serve you.
Siemens Teamcenter Top Tips
Convergence Data is the trusted expert on Teamcenter migrations—that’s why we’re sharing our top tips for Teamcenter classification on the Siemens Realize LIVE stage. But we have more information than we could possibly fit into 45 minutes of presentation time, so you’re in luck. We’re spilling more expert secrets here!
Stick to a Standard Classification Structure for Migrations
The organizational structure of your data can’t be too complex or too simple—it will ultimately impact the operational usefulness of your data going forward. If you’re merging multiple data sources into one, consider merging your classifications too. Adding branches to existing class structures can get messy, but working in a staging area will allow you to modify branches and avoid part duplication going forward.
The staging environment allows you to standardize your classification structures, harvest and enrich data, and then normalize and validate the data. Convergence Data’s own Design for Retrieval software staging area serves just this purpose.
Prioritize Deduplication Before a Teamcenter Migration
Duplicate partsare one of the biggest costs associated with a PLM. When migrating to Teamcenter, you have an opportunity to clean up your data and avoid engineers wasting critical time and effort searching for parts going forward.
To start the deduplication process, collect then classify the data. Follow this by enriching and validating the data, which allows you to complete a duplicate and near-duplicate analysis. Finally, process the duplicates by selecting one internal part number to be the master for each duplicate manufacturer part number (MPN). This ensures purchasing will consolidate spend and rationalize inventory without disrupting existing BOMs.
Implement Data Governance for Ongoing Teamcenter Health
One of the best ways to see ROI on Teamcenter? Implementing a strong data governance framework within your organization. Consider things like:
Data modeling best practices: How can you make sure your data governance framework stands the test of time? Ensure you’re following best practices—an expert in data governance can help here.
Define roles and responsibilities: Data governance doesn’t work in a silo. When you get buy-in from across the team, you’ll ensure that engineering isn’t the only department following your new data governance requirements.
Specific protocol for new parts: Think ahead to the issues you might incur when adding new parts—even well-planned data governance frameworks can hit snags if you don’t consider every possible issue. Think through duplicate identification, how you'll categorize approved new parts, and key roles of everyone involved (e.g. MDM team vs. engineers).
Reporting: Test the effectiveness of your data governance framework with reporting, and make adjustments over time where needed.
Let’s Talk at Realize LIVE—Plus, a Discount Code!
Planning on attending the conference? We want to meet you. Plus, we have an exclusive discount code that you can receive just by filling out the form.