Real-World Case Studies and Customer Success Stories with MMIT

SAP C4C helped Electrolux bring all after-sales data from Italy into one place. MMIT cleaned and prepared the data from ASAP and Omniadoc systems. They put the data into SAP C4C and tested it. Electr...olux now sees all service orders and contracts in one view. Customer service is faster and more personal. Fewer mistakes happen and work is easier. Electrolux uses the data to make better business decisions.
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MMIT/Explica delivered a data warehousing solution for Sociale Verhuurders Haaglanden (SVH). SVH wanted to improve how it managed and used housing data. MMIT/Explica imported SVH's data, applied adva...nced ETL processes, and built a robust data warehouse. They created data marts for targeted insights and improved data delivery. SVH saw a 25% increase in data accessibility and better decision-making with more structured data.
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MMIT integrated web portal data into Eurostat's housing price indices system. Eurostat wanted faster and more robust housing price data for 27 EU countries. MMIT evaluated web portals, built a method... to extract and clean data, and merged it with Eurostat's system. The new process made housing price indices more timely and robust. The system now adapts easily to new data sources, helping Eurostat provide better market insights.
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MMIT improved Jaguar Land Rover (JLR) Europe's data quality using monthly data cleansing for their Single View CRM. They fixed email deliverability issues in Germany by validating addresses and remov...ing spam traps. MMIT automated sales funnel analytics to track customer journeys and dealer performance. JLR saw better data accuracy, fewer email bounces, and stronger sales insights. These changes helped JLR make smarter decisions and improve marketing and sales across Europe.
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MMIT delivered data management solutions for AkzoNobel, a global leader in paints and coatings. AkzoNobel needed to improve data integration and quality across its Marine, Decorative Paints, and Prot...ective Coatings divisions. MMIT integrated vessel data for predictive maintenance, standardized customer data for better marketing, and enhanced lead generation with web scraping and market analysis. The project unified data quality, improved customer engagement, and enabled more accurate market analysis, helping AkzoNobel strengthen its market position.
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MMIT improved DMG's marketing by fixing their customer data. DMG had problems with bad data and high bounce rates in email and direct mail campaigns. MMIT did a full data quality audit and found fake... and duplicate entries. They used automated tools and manual checks to clean the data. DMG saw a 94% drop in bounce rates and better marketing results. Their data is now more accurate and useful for future campaigns.
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