A blog by Oleg Shilovitsky
Information & Comments about Engineering and Manufacturing Software

How Big Is Product Lifecycle Data?

How Big Is Product Lifecycle Data?
Oleg
Oleg
6 July, 2010 | 2 min for reading

Product-related data is one of the very aspects of PLM implementations. When you talk about PLM implementation, the topic of product-related data (or IP) is very often becomes a center of the conversation.  There are multiple sources of this type of data in the organization. In my view, one of the PLM goals is to have a control of this data and provide tools to manage the overall lifecycle. One of the PLM implementation challenges is to provide wide support for product-related data. The topic I want to discuss is related the ability of PLM product to handle full scope of this product lifecycle data.

I had chance to read an article Oracle, SAP working on Exadata support. The core of this conversation is about how to scale up and provide extensive support for big data handling in the organization. Have a read of this article and make you opinion. Mine is simple – both Oracle and SAP understood the size of the potential problem (data size). They are working in multiple directions to find a solution for data sizing in transactional enterprise application. Should PLM care? This is a very good question in my view…

PLM and Product Lifecycle Data Problem
One of the challenges PLM is having for many years is getting control of product-related data. My observation shows that product-related data is not completely controlled by PLM systems in the majority of PLM implementations. Even with a very successful PLM implementation, data is scattered between multiple data sources and PLM is only one of them. In addition to that, product-related data can be located in the diverse set of applications used for product development.

Product Data, Size and PLM value
The full value of Product Lifecycle Management is directly dependent on how what scope of product-related data is covered by PLM. The wider scope can maximize PLM value for organizations. With all current developments, PLM is looking on starting from design to manufacturing strategies and development of social-oriented application, sizing can easily become one of the potential bottlenecks related to the ability to support large scope of data.

What is my conclusion? I think, to understand sizing of product lifecycle data is important in order to build right operational and strategic plans related to data management. Data is growing fast. Future PLM implementation can suffer from problems related to data sizing. How to scale up PLM implementation in terms of size can be one of the most important questions in the future. Just my thought…

Best, Oleg

Share

Recent Posts

Also on BeyondPLM

4 6
15 December, 2010

The conversations about future CAD and PLM solutions is not a new thing these days. I decided to re-read some...

13 May, 2010

One of the areas that is always in the focus of people related to Product Lifecycle Management is how to...

21 October, 2015

  CAD and PLM marketing folks have tough time these days. It has been just five years ago, when Jeff...

30 June, 2024

The debates about PLM and ERP about management of Bill of Materials are heating up. Recent years were remarkable with...

19 June, 2018

I’m attending PTC LiveWorx industry event in Boston. This year it called “Digital Transformation Conference”. Well… I’m not surprised. Digital transformation...

1 February, 2018

Thinking about SaaS application race? You’re not alone. Some companies cannot agree with new landscape of applications. As such, Oracle...

17 June, 2024

I was catching up on social media reading over the weekend, and my attention was caught by Matthias Ahrens post...

23 September, 2019

There is no lack of PLM definitions in this world. From a very simple like the version provided by Al...

13 August, 2010

I was thinking about how PLM balance product lifecycle from the standpoint of producing and consuming product data. The product...

Blogroll

To the top