How important is data management in PDM?

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This data is then used in product development and product lifecycle management (PLM), from conception, design, production, to obsolescence.

To do this, PDM functions are generally divided into two areas:

Product data management: deals with the control of the structure of the product and its parts, classification of components and documents.
Process management: Covers workflows such as product approval processes and design and engineering changes.

Although PDM was created primarily for technical areas of product development, it is now also used in other departments, such as marketing, purchasing and sales.

By centralizing data on one platform, this system allows all teams to turkey consumer mobile number list have access to accurate product information, which is useful when designing marketing campaigns or sales pitches, for example. You will understand how these areas use product data later on.

We live in an era of accelerating pace of life and markets, which imposes the need for digital transformation on companies. Those who want to remain competitive need to improve their products, offering solutions faster and at a lower cost.

For this, data is strategic. It makes processes smarter, minimizes decision risks, and increases the chances of good performance in the market. That is why successful products are based on data.

It is in this sense that data management is important in PDM. Product Data Management activities and systems ensure the establishment of data-related processes that serve to optimize and accelerate product development and workflows. In this way, it is possible to meet the increasingly demanding demands of the market.

Consider the scenario of a company that does not organize and centralize product-related data and processes in automated systems. Various different teams and professionals store information in their own way, manually, in their own spreadsheets, with high possibilities for errors and disagreements.