| Industry: | Manufacturing |
| Website: | www.saniflo.com |
| Requirements: | Visibility of data sources, easy access to data and manual processing |
| Data Sources: | Sage Data & Analytics |
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Background
The parent company of Saniflo USA and UK, Group SFA is an international plumbing manufacturer with 24 subsidiaries and distributors around the world. “From its inception in 1958 to its expansion throughout Europe and, eventually, North America,” explains Regis Saragosti, CEO of Saniflo North America, “Group SFA has revolutionized the ease and flexibility of commercial and residential bathroom installations through its macerating technology.”
Challenges
“Over the years we had very good growth, and it was getting very complex to aggregate all our data sources. We had no global view of the group, no simple way to get the data, and it was manual processing that cost us time and efficiency.”
Solution
Group SFA controls more than 70% of its production internally and has almost 200,000 square feet of manufacturing facilities and 160,000 square feet of warehousing facilities. “We’ve been using Sage X3 in all the major processes of our group,” continues Frédéric Carricaburu, Group SFA’s Chief Information Officer, “like sales, EDI, manufacturing, accounting, and shipments. We chose Sage X3 because we wanted to have only one solution to manage our business, so it was the perfect solution. It needed little resources from IT, although it was extremely powerful.”
“We started to search for business intelligence tools, but we didn’t find any proper solution. We went to the Sage Summit in Chicago and we saw Sage Data Management & Analytics (formerly SDMA, Sage X3 Data Management and Analytics), and then we thought, ‘That might be the solution,’ and indeed, it was.”
Benefits
“Sage Data & Analytics, formerly SDMA and built on ZAP Data Hub – is now the central hub in the group. There is no more manual processing of the data, and it was extremely fast and simple to implement the solution, even though we had different languages, (and) different data sources.”
“We had everything pre-set – the data models and the data connectors. They made it easy for us to have only one consolidated view, and that’s a real revolution for us.”
