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BLOG-NEO - BI-BA AUTO

Business Intelligence & Analytics solutions, specifics for auto parts companies

5 de January de 2024adminfactorydataNEO

In the previous blog we looked at the main areas where data can help aftermarket companies identify weaknesses and opportunities and, ultimately, allow them to generate greater performance. We also saw different Business Intelligence & Analytics solutions that exist on the market, some of them generic and others specific for auto parts companies.

In this article we are going to analyze in more detail the Business Intelligence & Analytics solutions, developed specifically for auto parts companies.

 

Table_BI_A_AUTO-ENG

 

As we can see, in the market we can find different solutions, although in reality the offer is not very extensive, basically, because the requirements to develop solutions for most areas of analysis, in a specific sector, require having huge databases about the domain in particular, which require a lot of effort to create and maintain.

Data structure used in the solutions is a very important factor and determines in some way the possibilities and limitations that can implement based on it, in particular:

  • Analysis Granularity level (Make/model/engine, transmission type, OE, IAM, …)

  • Analysis Coverage level (Product families, Application segments: Passenger, Truck, Industrial, Marine, Motorcycles,…).

The vast majority of these solutions are based on the Tecdoc and/or ACES/PIES data structure, which in some way represent the main market standards in Europe and America. The company, Factory Data, on the other hand, bases its analyzes on a different and independent data structure from the auto parts industry, the NEO code®.

In future articles we will analyze in more depth the benefits that Business Intelligence and Analysis solutions bring to companies depending on the analyzed area: product data, product range, search engine, prices and finances.

Undoubtedly, the complexity of data and the speed at which events occur in the market increasingly force companies to use analysis solutions that allow them to improve efficiency and profitability in their businesses.

 

By Joan Cabós
CEO & founder

Tags: assortment planning, Automotive aftermarket, Big Data, Business Inteligence, Data analysis, NEO, Technology

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