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

Nordex used Azure Machine Learning to standardize visual quality checks in wind turbine assembly. b.telligent built a scalable cloud-based inference... system for image analysis. The new solution processes images in about 1 second each, confirmed by benchmarks. Nordex now detects small parts like nuts and cables reliably across global sites. The cloud setup cut costs and made scaling easy. Automated monitoring and clear processes ensure quality and compliance.
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MARTIN GmbH used b. telligent to build a smart IoT data platform for waste-to-energy plants. The old on-premise system could...not handle growing data and lacked flexibility. With IONOS Cloud and Managed Stackable, they now collect, process, and analyze machine data in real time. The new platform gives MARTIN full control over their data and supports new digital services. This solution enables better monitoring, faster insights, and future-ready analytics for waste-to-energy operations.
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KNF used Microsoft Azure and b. telligent to build a scalable IoT cloud solution for pump lifecycle testing. The new...system connects up to 10 DAQ devices per test unit and enables real-time data analysis worldwide. Engineers now manage test configurations centrally and monitor pump tests at all sites. The solution includes digital twins, a user-friendly web app, and dashboards for visualization. KNF can now add new pumps easily and access data for future AI applications.
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Amazonen-Werke modernized its data warehouse with b. telligent and WhereScape. The company faced challenges with outdated, fragmented systems and high...manual data prep costs. With a new automated data warehouse, they integrated new data sources in hours, not months. The solution replaced manual Excel and Access processes with reliable, centralized data. Teams now spend less time on data prep and more on analysis, improving decision-making across the business.
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FRÄNKISCHE Industrial Pipes used b. telligent to build a central traceability system on Microsoft Azure. They linked production, quality, and...master data in real time. This improved quality assurance and made processes more efficient. The new portal lets users track products from raw materials to delivery. Automation and data integration reduced rejects and sped up production. The solution also helped meet supply chain regulations and increased customer trust.
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Amazonen-Werke modernized its data warehouse with b. telligent and WhereScape. The company faced challenges with outdated, decentralized IT systems and...manual data preparation. b.telligent implemented a new automated data warehouse using WhereScape RED and 3D, based on the Data Vault 2.0 model. This allowed fast integration of new data sources and consolidation of ERP systems. Departments now access reliable, centralized data, saving significant time and enabling deeper analysis.
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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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Siemens Financial Services worked with b. telligent to build a cloud-based financial data platform. The new platform integrated data from...over 20 source systems in just 24 months. Using Microsoft Azure and Snowflake, the solution enabled real-time analytics and high data security. Automated processes improved decision speed and opened new opportunities for data science and machine learning. The platform also ensured compliance with strict financial regulations and streamlined user access management.
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EOS Group migrated its on-premises data warehouse from Exasol to AWS Redshift with b. telligent. The project delivered a 30%...increase in data processing speed and cut infrastructure costs by 50%. EOS replaced legacy systems, optimized 2,500 SQL scripts, and modernized its BI with Power BI. The new cloud platform enables scalable, secure, and agile data management. EOS now supports international growth and faster innovation cycles.
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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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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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b. telligent helped loadbee modernize its data architecture using AWS. The new AWS Lake House platform enabled detailed product-level analysis...and extended data history. Dashboard creation time dropped by over 75%. The solution cut infrastructure costs by 50% and allowed loadbee to monetize new data products. Customers now get deeper insights and faster access to analytics.
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b. telligent helped idem telematics build an AI-powered assistant for their cargofleet 3 platform. The assistant uses large language models...to answer fleet management questions in real time. Users can ask about vehicle maintenance, temperature deviations, or location history using natural language. Live and historical data are integrated for fast, precise answers. The project enabled idem telematics to launch a new product and improve customer service in logistics.
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Synabi used b. telligent and AWS to move its D-QUANTUM data governance platform to the cloud. The project created a...scalable SaaS solution in just 1-2 months. Automated deployment and Infrastructure-as-Code made setup fast and easy. Customers now get quick access and seamless integration with their IT systems. D-QUANTUM is now available as a flexible SaaS for enterprise use.
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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, more 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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b. telligent built a scalable AWS solution for Josera.de to automate hay analysis for horse owners. The new system processes...lab results and sends personalized product recommendations by email. The cloud-based workflow saves 30 minutes per analysis and delivers results in 1–2 minutes. The process is now fully automated, reducing manual work. Horse owners get fast, easy-to-understand feeding advice.
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b. telligent built a cloud data platform for foodforplanet using AWS. The project integrated multiple e-commerce data sources into a...single data warehouse. This reduced manual data preparation and enabled automated reporting. foodforplanet now makes daily, data-driven decisions with consistent data. Real-time analytics power personalized product recommendations in their online shops. The new platform supports future business models and innovation.
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BSH Hausgeräte Gruppe used b. telligent to centralize social media data in Amazon Redshift. The company wanted deeper insights from...social channels and better data control. b.telligent built a data pipeline to move and process data from a third-party SaaS into BSH’s data warehouse. This enabled unified analytics, improved dashboard validation, and opened new opportunities for NLP applications. BSH now has a single source for social data and can run advanced analyses to understand customer opinions.
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Swisscom migrated its blue TV analytics system from an on-premises data warehouse to AWS Redshift with help from b. telligent. The project...aimed to modernize infrastructure, cut costs, and boost scalability. Swisscom integrated advanced machine learning models and automated reporting using AWS Lambda and SageMaker. The migration reduced technical complexity and maintenance, freeing up resources for innovation. The new cloud-based solution improved analytics performance and set the stage for future advancements.
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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 performance. 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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Snowflake and Azure helped DKV Mobility build a scalable data platform with b. telligent. Over 30 use cases were delivered...in the first year, improving analytics and business processes. The project reached breakeven within 12 months. The solution enabled flexible scaling and better reporting. DKV Mobility now uses data to drive smarter decisions and digital services.
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DKV Mobility used b. telligent and Snowflake to build a scalable data platform. In just one year, they implemented over...30 use cases across 10 business units. The new platform improved reporting and customer portal data supply. DKV Mobility reached break-even on the project within 12 months. The solution enables ongoing digital services and smarter business processes.
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ProSiebenSat. 1 migrated its complex BI platform to the AWS cloud with b.telligent. Over 80 data sources and seven teams...worked together using Snowflake and Datavault Builder. The migration happened without interrupting daily operations. The new cloud platform is scalable and robust. ProSiebenSat.1 achieved a 50% cost reduction per query by optimizing resources in Snowflake. Agile methods and sandboxing improved development speed and flexibility.
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ProSiebenSat. 1 migrated its complex data platform to the AWS Cloud with b.telligent. The project unified over 80 data sources...into a single, scalable Data Lake using Databricks. Teams now access centralized, well-prepared data for analytics, BI, and AI. The migration reduced infrastructure costs below both on-prem and initial cloud estimates. Product teams onboarded quickly, and the platform improved efficiency and decision-making.
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OTTO migrated its marketing planning platform to Marmind and Google Cloud with b. telligent's help. The project replaced an old...on-premises system used by 300 users in just 12 months. The new cloud-based solution improved flexibility, scalability, and automation for campaign management. Product owners now work faster and rely less on technical resources. OTTO's internal team can independently operate and expand the platform.
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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 year. 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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CSS Group used NLP and AI to automate the categorization of 60,000 annual customer feedbacks. Manual labeling was slow and... inconsistent. b.telligent built a custom pipeline using BERT to classify feedback and analyze sentiment in four languages. The new system delivers more consistent, reproducible results and reduces operating costs. CSS now responds faster to customers and can extend automation to other service areas.
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CSS Gruppe used NLP and AI to automate the categorization of 60,000 annual customer feedbacks. Manual labeling was slow and... inconsistent. b.telligent built a custom pipeline using BERT to classify feedback by category and sentiment. The new model delivers more consistent and reproducible results than manual methods. CSS now reacts faster, improves data quality, and reduces operational costs.
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PERI modernized its analytics landscape with Microsoft Fabric and Azure Databricks. The company moved from SAP BW on HANA to... a cloud-native Lakehouse architecture. This unified data platform enables faster insights and supports self-service analytics. Power BI integration allows near real-time reporting for business teams. The new solution reduces time-to-insight and supports advanced analytics and AI use cases. PERI now makes data-driven decisions more quickly and flexibly.
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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 migration. 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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medi moved its data platform from on-premises to Microsoft Azure with b. telligent. The new cloud-first setup improved performance, scalability,...and cost efficiency. b.telligent connected 17 source systems using Azure Data Factory and migrated reporting to Power BI. medi now has faster data processing and a flexible, future-ready architecture. The project finished on time and within budget, enabling better analytics and user experience.
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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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Fitness First automated its campaign management with Apteco FastStats and b. telligent. The company built a central data warehouse and...integrated marketing tools for better customer targeting. Automation enabled 100% more campaign potential, allowing campaigns that were previously impossible. Personalized, data-driven outreach improved customer retention and marketing efficiency. Manual processes like campaign control and blacklist management are now automated, freeing up resources.
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PUMA used b. telligent and Microsoft Azure to build a central data hub. This hub brought together customer data from...many sources into one place. PUMA can now see a 360° view of each customer. The new system lets PUMA personalize marketing and make better business decisions. Data stitching links all customer IDs for a single view. The project improved marketing performance and made data processes more efficient.
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