The relationship between data quality and artificial intelligence
An intermezzo on data quality
The well-known principle also applies to the new generation of AI: the quality of the output is directly dependent on the quality of the input. Accordingly, the automation, analysis and decisions generated by Microsoft Copilot are dependent on the quality of the underlying data.
If the data in your CRM and ERP systems is incorrect, incomplete, or out of date, this increases the likelihood of inaccurate or misleading information and automation. Therefore, it is very important to invest time and resources in good data maintenance and data management - before implementing Copilot.
The good news: HSO is an expert in this area. Manufacturing companies such as Bossard, Stolt Tankers and Thomas Beton have already implemented extensive AI projects with HSO. Our customers have already been able to celebrate several successes:
- Bossard was able to enable its customers to reduce inventory by 33% with intelligent logistics.
- Stolt Tankers has managed to extract valuable information for predictive maintenance from its large amounts of data and to predict and prevent the failures of certain parts of the ship.
- Spairliners was able to use machine learning to gain the insights needed to set the right rates for maintenance contracts.
As a Microsoft Inner Circle Partner with 25 years of experience in the manufacturing industry and with Microsoft Business Applications, we can help you get the most out of the new generation of artificial intelligence.
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