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    4 Reasons to Have an HVAC Industry Standard Data Model

    Convergence Data Team
    Apr 10, 2023
    Classification, Analytics, Part Standardization, Product Structures, Ecommerce, PIM, Taxonomy, HVAC, Engineering, Product Data, Aftermarket Parts, Digital Commerce, Data Management, Component Data, Distributor, Purchased Parts, OEM

    4 Reasons to Have an HVAC Industry Standard Data Model

    πŸƒ In the HVAC industry, having a foundational data model for purchased parts, service parts, and products can be a game-changer. Its critical to use an industry standard data model to make it easier to exchange information with other companies in the HVAC industries (e.g., OEMs, Suppliers, Distributors, Compliance (AHRI), etc.

     

    Here are four reasons your team should consider adopting a fit-for-HVAC data model:

     

    πŸ‘ Firstly, an HVAC-specific data model will enable standardization and consistency across various service parts and products. With a standardized data model, HVAC companies can ensure that all the information about their parts and products is consistent, complete, and accurate. This consistency makes it easier for employees to access and use the data, reducing errors and improving downstream productivity for teams and business functions that will interact with the data (such as eCommerce, Procurement, and others). Additionally, industry standardized data provides consistency in product development, leading to improved quality and better communications with customers, suppliers, distributors.

     

    βœ”οΈ Secondly, a data model enables effective data management. By storing all the information about the parts and products in a centralized location, companies can easily manage the data and ensure that it is up-to-date. This can help companies make informed and timely decisions to respond quickly to changes in the market including regulatory and compliance considerations such as A2L and their operations (for example: business acquisitions).

     

    πŸ‘ Thirdly, a data model enables effective collaboration. With a common data model, different teams within the company can collaborate more effectively, leading to improved communication, better decision-making, and faster product development. With a common data model that supports the HVAC industry, your team won't have to work in siloes and can interact with a common, foundational data set.

     

    πŸ€– Finally, having a foundational data model for parts and products can also help companies to leverage emerging technologies, such as AI and machine learning. By using data analytics, HVAC companies can identify patterns and trends in the data, leading to better product development and more efficient operations, enabling supply chain, order fulfillment, and future innovation. It's much easier to collect and leverage analytics on your products if your data has been standardized. This means that you can now trust the results!


    ✴️ Having a foundational data model for parts and products is a vital component for companies in the HVAC industry. It offers significant advantages such as standardization, effective data management, collaboration, and the ability to leverage emerging technologies. Companies that implement a data model that is based on HVAC industry standards and best practices will undoubtedly reap the benefits of improved productivity, better decision-making, and increased customer satisfaction. (This will also save your team a lot of time versus trying to create a data model from scratch.)

     

    Are you looking for a fit-for-HVAC industry data model? Contact Convergence Data about our HVAC industry data model for your parts and product data initiatives. We can support both your PLM and PIM data deployments leveraging this best practice approach. We have spent many years building these data models for some of the largest HVAC companies in the United States. Contact us to learn how it can help to accelerate your business! πŸ“

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