Real-World Case Studies and Customer Success Stories with b.telligent

Azure helped FRÄNKISCHE Industrial Pipes set up a central traceability system. The company needed to track every part from raw material to delivery. They wanted better transparency and higher product... quality. Azure connected production, quality, and master data in real time. This improved quality control and made processes more efficient. The new system increased trust in the supply chain.
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KNF used Microsoft Azure to build a scalable IoT cloud solution for pump testing. Before, KNF used local database tools that were not flexible or scalable. With b.telligent, KNF created a new system ...for real-time data analysis and easy connection of more pumps. The solution includes a user-friendly web app for device control. Now, up to 10 DAQ devices per test unit are analyzed automatically in the cloud.
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MARTIN GmbH used the Stackable Data Platform and Managed Stackable to improve their Waste-to-Energy plant monitoring. Their old on-premise data platform could not handle growing data and flexibility ...needs. b.telligent helped them set up a new IoT data platform with IONOS and Stackable. This allowed real-time data collection, better analytics, and more efficient processes. The new system gave MARTIN GmbH more transparency and improved performance for their digital services.
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Amazonen-Werke used Wherescape and b.telligent to modernize its data warehouse. The company faced challenges with decentralized IT and a legacy, failure-prone DWH system. They needed better reporting..., transparency, and agility. The new automated data platform unites business units and supports data-driven decisions. The project took 3-9 months and improved operational efficiency.
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FRÄNKISCHE Industrial Pipes used Microsoft Azure and b.telligent to build a central traceability system. They needed to track every product from raw material to delivery for better transparency and q...uality. The new Azure data platform links production, quality, and master data in real time. This improved quality assurance, made processes more efficient, and increased trust in the supply chain. The project lasted 13-18 months and connected global factories to the cloud.
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Siemens Financial Services used a cloud-based data platform built with Microsoft Azure and Snowflake. The platform integrated over 20 source systems in 24 months. It created a single source of truth ...for the company. Automated processes now speed up decisions and improve workflows. The solution enables real-time analytics and supports data science and machine learning. This helps Siemens Financial Services make better financial decisions and unlock new business potential.
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EOS Group migrated its on-premises data warehouse to AWS Redshift with b.telligent. The project delivered 30% faster data processing and cut operating costs by 50%. EOS now has a flexible, scalable c...loud data platform. The migration included Exasol to Redshift, Ab Initio, Microstrategy, Power BI, and Protegrity. This enabled EOS to support data-driven growth and improve efficiency.
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EOS-Gruppe migrated its on-premises data warehouse to AWS Redshift with b.telligent. The project delivered 30% faster data processing and cut operating costs by 50%. EOS now has a flexible, scalable ...cloud data platform. The migration took 8 months and used AWS Redshift, Ab Initio, Microstrategy, Power BI, and Protegrity. This enabled EOS to support data-driven growth in financial services.
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AWS Data Platform helped foodforplanet gain deeper insights into e-commerce data. b.telligent built a modern cloud data platform for the Erbacher group. The solution integrated multiple online data s...ources. foodforplanet now uses these insights to improve their online shops. The project supports future growth and sustainability goals.
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b.telligent used AWS services to help Josera.de automate and scale their hay analysis process. Josera.de, part of foodforplanet, offers pet food and hay analysis for horse owners. The new AWS-based s...olution processes lab results quickly and sends detailed reports and product recommendations by email. This digital workflow saves time and gives customers fast, clear results. The project improved efficiency for Josera.de and enhanced customer experience in the pet food sector.
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ProSiebenSat.1 migrated its complex BI platform to the AWS cloud with b.telligent. The project involved over 80 data sources and seven teams. They used Snowflake and Datavault Builder for the migrati...on. The new platform is scalable, robust, and future-proof. ProSiebenSat.1 achieved a 50% cost reduction per query by optimizing resources in Snowflake.
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ProSiebenSat.1 migrated its complex data platform to AWS Cloud with b.telligent. The project unified data lakes using Databricks, centralizing data and enabling fast analytics. Over 1,000 direct user...s now access a scalable, efficient platform. The migration improved insights, decision speed, and operational efficiency. The solution replaced a Hadoop-based on-premise system with limited scalability.
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Marmind and GCP helped OTTO move its marketing planning platform to the cloud. OTTO had an old system with about 300 users. b.telligent supported the migration to a modern, cloud-based tool in one ye...ar. The new setup gives OTTO more flexibility and makes it easier to grow. Product owners can now work faster and need less technical help. OTTO’s own team now runs and expands the platform on their own.
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PUMA used a central data hub to unify customer data from many sources. This ended data silos and gave a 360-degree view of each customer. The new system improved personalized marketing and made busin...ess decisions easier. PUMA now runs more efficient marketing processes. The project used Microsoft Azure for the data platform.
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CSS Insurance automated customer feedback categorization using AI and NLP with b.telligent. The company handled 60,000 feedbacks annually, previously labeled manually in many categories. The new solu...tion uses BERT-based deep learning to process feedback in four languages, assign multiple categories, and detect sentiment. This led to faster response times, better processes, and higher customer satisfaction. The project improved efficiency and data quality in customer management.
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CSS Versicherung used AI and NLP to automate customer feedback categorization. The company handled about 60,000 feedbacks each year, previously labeled manually. With b.telligent, they built a soluti...on using Python and deep learning. The new system processes feedback in four languages and assigns multiple categories and sentiment. This led to faster response times, better processes, and higher customer satisfaction.
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D-QUANTUM by Synabi moved to AWS with help from b.telligent. The goal was to make the data governance platform cloud-ready and scalable. AWS and DevOps best practices enabled a fast, modern SaaS solu...tion. Customers now get quick access, easy integration, and efficient development. The project delivered a future-proof, SaaS-ready data management tool for the financial sector.
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Swisscom used AWS Redshift to move its TV analytics from an old on-premises data warehouse to the cloud. b.telligent helped Swisscom with the migration. The new solution improved data analysis and pe...rformance. Swisscom now has a modern, scalable, and cost-efficient infrastructure. The migration made it easier to integrate and manage TV analytics in the cloud.
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medi used Microsoft Azure to move from on-premise to the cloud. The goal was to improve performance, scalability, and cost efficiency for their data platform. b.telligent delivered a cloud-first appr...oach for a smooth migration. medi now has a modern analytics foundation and supports future growth. The project connected many data sources and kept reporting formats stable for users.
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DKV Mobility used Snowflake and Microsoft Azure with b.telligent to build a scalable data platform. The goal was to improve data governance and become a data-driven company. In just one year, they im...plemented 30 use cases across 10 business units. The new platform enabled smarter analytics, optimized processes, and better decisions. DKV Mobility now offers new digital services and manages business processes more efficiently.
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Idem telematics used the cargofleet assistant, powered by large language models, to improve fleet management. The AI-based solution processes natural language and gives real-time answers. This led to... better efficiency, transparency, and productivity in transport logistics. The project lasted 3-6 months and used Microsoft technology. Idem telematics now offers smarter, data-driven logistics for its customers.
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BSH Hausgeräte Gruppe used AWS infrastructure to collect, store, and analyze social media data. b.telligent helped BSH integrate data from their social-data SaaS platform into Amazon Redshift. This g...ave BSH full control over their social media data and broke down data silos. BSH can now verify dashboard solutions and explore new NLP use cases. The project supports digital transformation in the consumer goods sector.
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b.telligent used AWS Lake House to modernize loadbee's data platform. loadbee needed better data analysis and reporting. The old system was slow and costly. The new AWS-based platform gives faster, m...ore detailed product-level analytics. It also keeps more data history. Dashboard creation is now 75% faster. Costs went down and new revenue opportunities opened up.
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FastStats from Apteco helped Fitness First automate campaign management. The company wanted to reach customers more efficiently and improve loyalty programs. Automation enabled campaigns to reach 600...,000 contacts. Fitness First saw 100% more campaign potential. The solution made complex campaigns possible that were not feasible before. This improved customer engagement in a competitive fitness market.
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