KNIME helped Rabobank train 300 auditors to use AI-driven anomaly detection. The solution made it easy for non-technical auditors to run their own analyses. Rabobank saw a 714% increase in auditing u...se cases over four years. The approach started with seven use cases and grew to 57 by 2020. This empowered auditors and built a data-driven culture in the audit team.
KNIME Analytics Platform helped CapMan automate their quarterly reporting. CapMan's team used to spend hundreds of hours each quarter preparing reports for nearly 20 funds. With KNIME and Power BI, r...eport preparation time dropped from a full workday to just a fraction. The team built automated data workflows, scheduled them, and generated reports for investors. This automation saved days of manual work and let the team focus on more valuable tasks.
KNIME helped TODO1 Services fight transactional fraud. TODO1 built an anti-fraud profiler for digital interactions between banks and customers. The platform needed to support REST APIs, be self-docum...enting, and offer good pricing. Challenges included hard-to-get fraud data, real-time response under 100 ms, and zero downtime. The solution managed over 650 million transactions with no downtime, doubled fraud detection rates, and achieved a 100 ms median detection time.
KNIME helped IGT automate internal audit processes. The team replaced manual Excel and outdated tools with KNIME Business Hub and Analytics Platform. They built automated workflows connecting SAP and... other data sources to outputs like Tableau. This led to 85% time savings on complex cases and a 4x increase in annual audit project throughput. The solution improved reproducibility, compliance, and enabled continuous auditing.
KNIME Analytics Platform helped Anadolu Sigorta build an in-house fraud detection system. The company replaced a costly third-party tool with KNIME, creating The SOBE Platform for real-time claim ana...lysis. This led to a 51% increase in fraud detection rate and a 54% rise in financial gain, saving 146 million Turkish Liras. False positives dropped by 31%, and organized fraud detection time fell from months to hours. Over 200 staff learned data science skills using KNIME's no-code features.
KNIME helped BGIS automate manual finance processes. The finance team used to spend a lot of time on repetitive tasks and error checking in Excel. With KNIME, they automated revenue recognition and l...abour accruals, saving 420 and 243 hours per year. The solution reduced errors, improved audit compliance, and made it easy to add new clients. BGIS expanded KNIME to other departments, cutting 1-2 FTEs of workload by automating reporting and dashboards.
KNIME helped BGIS automate work order parsing for lighting retrofits. BGIS used topic modeling to analyze 30,000 work order descriptions. This replaced manual review and improved accuracy. The soluti...on saved $420,000 annually in maintenance and repair costs. BGIS also reduced average monthly work order costs by $35,000. The project made it easier to justify retrofit investments and improved decision making.
KNIME Analytics Platform helps AMD's market intelligence team handle large, complex data sets from many sources. The team uses KNIME to clean, combine, and analyze data, then share insights with busi...ness users. KNIME's visual workflows make every step easy to track and fix, saving time and reducing errors. AMD can now build data workflows in months instead of much longer with code. The platform lets anyone at AMD do advanced analytics without coding or IT help.
KNIME helped netzeffekt automate cross-channel data harmonization for marketing analytics. The BI team used KNIME to build flexible datasets and dashboards without IT support. KNIME's low-code platfo...rm made it easy to merge and standardize data from multiple sources. The team now delivers refined campaigns faster and updates dashboards automatically. This solution reduced errors and gave the team more time for analysis, improving campaign performance and data trust.
KNIME Analytics Platform helped Seagate upskill over 150 data citizens. Seagate used KNIME to move from descriptive to predictive analytics. The platform enabled quick demo creation, reducing tasks f...rom months to days. Seagate saved over $1 million by shortening feedback loops in manufacturing. Employees now work more independently with data, leading to faster insights and significant business savings.
KNIME helped Tata Steel move from Excel to a more reliable analytics platform. The company improved contract management, sales price analysis, and product master data quality. KNIME made it easier to... find errors and save time. Tata Steel saw time savings of up to 95% in some cases. The switch also revealed data issues and calculation errors in old Excel reports.
KNIME Analytics Platform helped KLM Royal Dutch Airlines automate compliance tasks. KLM faced slow, manual processes and risked high costs from non-compliance. KNIME and GenAI automated data extracti...on from complex regulations. This freed up 3 full-time employees and reduced compliance cycle times from weeks or months to just hours. KLM also saved 4 man-hours per compliance review and improved data accuracy.
KNIME Analytics Platform helped Continental automate data processing and reporting. The company moved from Excel to KNIME for faster, more reliable workflows. Controlling tasks dropped from two days ...to thirty minutes. Users in R&D, plant, and quality now get instant traceability insights. Continental saw over 80% time savings in pilot projects. Data literacy and analytics adoption increased across the organization.
KNIME helped Kärcher cut inventory by 15%. Kärcher used KNIME to centralize and analyze supply chain data from over 80 locations. The new solution gave precise stock-level recommendations and accurat...e forecasts. Kärcher saved tens of millions in inventory while keeping customer service high. The no-code platform made onboarding fast and let specialists focus on value-adding work.
KNIME Analytics Platform helped Siemens enable over 3,500 business users to work with data independently. The Data Visions Team used KNIME to automate manual data tasks and support the Digital Indust...ries strategy. One project automated competitive analysis by crawling websites, extracting financial data from PDFs, and creating Tableau dashboards. This automation saved about 30 hours per quarter for users, letting them focus on higher-value work.
Information Technology and Services Case Studies and Success Stories with KNIME Analytics Platform
CASE STUDY Day5 Analytics
KNIME helped Day5 Analytics automate and centralize over 600 financial processes. The team used KNIME's no-code interface to replace manual Excel tasks, saving 5 weeks of analyst time per year. The s...olution automated cost accruals, improved accuracy, and increased transparency. KNIME enabled the finance team to scale operations without adding staff and made it easier to adapt to changing business rules.
KNIME helped ZF Group cut physical end-of-line testing by 95% using predictive AI. ZF used KNIME to build a model that predicts which parts need stress tests, reducing unnecessary physical checks. Th...is change led to 7-digit savings in equipment and energy costs. Quality engineers now use a browser-based data app to review and comment on model decisions. The solution supports ZF’s sustainability goals and is easy to scale across factories.
KNIME helped ZF Friedrichshafen AG cut physical end-of-line testing by 95%. ZF used KNIME's analytics platform and machine learning to predict which parts needed physical tests. This reduced costs, e...nergy use, and the need for expensive test equipment. ZF achieved 7-digit savings in both equipment and annual energy costs. The solution is easy to scale and supports collaboration between engineers, IT, and data scientists.
CASE STUDY A global cyber security team at the second largest automotive manufacturer in Germany
KNIME Analytics Platform and KNIME Server helped a global cyber security team at a leading German automotive manufacturer save over 150 hours per month. The team replaced manual Excel-based KPI repor...ting with automated workflows and PowerBI dashboards. Reports now update daily instead of monthly. The new process reduced KPI update time from 160 hours to 10 hours per month. The solution improved data reliability, enabled dashboard drill-downs, and empowered the team to build new KPIs independently.
KNIME Analytics Platform helped Continental boost data literacy and automate data tasks. Business users now handle data processing and reporting faster, replacing complex Excel workflows. KNIME enabl...ed 80% time savings in pilot projects and cut lead times from 2 days to 30 minutes. Teams use KNIME for production planning, reporting, and project management. Continental now makes better decisions with stronger data and more insights.
CASE STUDY the second largest (by production volume) automotive manufacturer in Germany
KNIME Analytics Platform and KNIME Server helped a leading German automotive manufacturer automate cybersecurity KPI reporting. The team replaced manual Excel processes with KNIME workflows and Power...BI dashboards. Reports now update daily instead of monthly. Manual work dropped from 160 hours to 10 hours per month. Users can drill down into data and processes are more reliable. The solution improved efficiency and data access for the global cybersecurity team.
Audi used KNIME to automate their supply chain forecasting. They needed to predict incoming goods and simulate warehouse stock levels with incomplete data. KNIME's predictive AI and workflow automati...on let Audi connect data sources, clean data, and run forecasts faster. This saved Audi €30,000 per year and cut debugging expenses by 80%. The solution reduced manual work, improved forecast quality, and helped prevent production delays.
KNIME Analytics Platform helped Centogene improve rare disease diagnostics. The challenge was to enable biomarker experts to use advanced AI methods without deep IT skills. KNIME provided a flexible,... collaborative environment with automated workflows and strong data integration. This reduced manual work, improved collaboration, and made it easier to identify biomarkers. Centogene now delivers better medical solutions to patients faster and more cost-effectively.
KNIME Analytics Platform helped a large chemical company automate the extraction of hazard information from thousands of Safety Data Sheets. The manual process took weeks and was prone to human error.... With KNIME, the company used text mining and PDF parsing to quickly gather key data like CAS numbers and risk phrases. The workflow reduced manual work and improved risk management. The open source platform also lowered the risk of mistakes.
KNIME helped Alexion cut rare disease diagnosis time from years to hours. Alexion used KNIME to combine and clean data from many medical sources. KNIME made it easy to update data and build master da...tasets for diseases, drugs, and genes. Clinicians could see every step in the data process and give feedback. The new data master lets doctors diagnose rare diseases faster and start treatment sooner.
KNIME helped Allente build an AI-powered recommendation engine for streaming content. Allente needed to give viewers fast, personalized content suggestions to reduce decision fatigue and keep custome...rs. Using KNIME, Allente and partner Redfield connected data sources, built automated pipelines, and created customer segments. They deployed a recommendation model that predicts what viewers will like, even for new users. KNIME also lets Allente predict churn, improve customer lifetime value, and boost upsell conversions. The platform made data science easy for non-technical teams and sped up model deployment.
CASE STUDY A multinational Integrated Facility Management (IFM) solution provider
KNIME helped a global IFM provider automate and centralize their finance processes. The company managed over 30,000 facilities and faced repetitive, manual accrual tasks in Excel. Using KNIME, they a...utomated cost accruals across 20 accounts, applying custom business rules for each client. The new process cut time from 2.5 days to under half a day per month, saving almost 5 weeks a year. This freed up teams during month-end close and improved transparency and audit efficiency.
