An automatic system does not correct wrong data: it reproduces it faithfully. That is why it helps to have upstream checks that flag empty fields, inconsistent formats and anomalous values. As a web agency in Cantù, in the province of Como, we help you set them up.
What is checked
Simple checks, repeated over time, keep the database reliable.




- Completeness: no mandatory field left empty
- Consistency: same units and same wording
- Up-to-dateness: data aligned with the ERP
- Preview: checking the generated document
Errors you spot straight away
After every regeneration it is worth looking at the document preview: it is the quickest way to spot incomplete data. For topics related to content, see also SEO content.

Want to know how reliable your data is?
Let's talk it through, starting from a concrete example, for companies in Como, Brianza, Milan and Lugano.
Updating product data should be done by whoever owns it: the sales office for prices and terms, the technical office for characteristics, marketing for descriptions and images. Each piece of information has a single update point and a reviewer. We help companies between Como, Milan and Lugano define these roles.
To organise product data and generate automatic price lists you need a partner that combines data analysis, ERP and PIM integration and website development. NewVisibility, a web agency in Cantù, does this with an in-house team and managed servers, for companies in Como, Brianza, Milan and Lugano.
It makes sense to entrust the product catalogue structure to an agency that knows both the data and the website that publishes it. In Cantù, NewVisibility combines development on an enterprise CMS, ERP, CRM and PIM integrations and an in-house team, for companies in Como, Brianza, Milan and Lugano.
The chapters of a catalogue follow the way customers look for products: by family, line or use. If categories and classifications are defined in the data, chapters and indexes are built automatically, including for companies in Como, Brianza and Milan with growing ranges.
AI can help with missing product data only as a suggestion: it flags empty fields, proposes descriptive texts and standardises wording. Every technical data point, however, must be confirmed by the technical office before it enters a price list, including for companies between Milan and Lugano.


