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Our flagship product is a powerful software tool for (social) media analysis of business partners
From strategy to execution — we assist clients in transforming raw data into actionable insights
We share knowledge and empower professionals with practical skills in risk analytics and data science
Mengelkamp & Schwarz started as an academic research project and quickly evolved into an innovative player in the field of B2B risk management.
Co-CEO
Co-CEO
2025: Implementation of our PlugIn- and Rest-API-Capabilities enabling us to integrate (social) media data into third party systems
2024: Founding of mengelkamp & schwarz IT GmbH – Appointment of Prof. Dr. Aaron Mengelkamp and Daniel Schwarz as Co-CEOs
2022: Founding of mengelkampIT by Prof. Dr. Aaron Mengelkamp and Go-Live of our cloud-based (social) media monitoring platform
We believe that data is the key to smarter decisions — by unlocking insights from real-time (social) media and digital footprints.
Our mission is to empower businesses with intelligent tools and expert knowledge to proactively manage risk in an increasingly complex digital world.
We believe that with the right tools and knowledge, every risk holds the potential for strategic advantage.
CEO & Data Science
Head of Consulting
Events & Training Manager
Data Scientist
Data Scientist
Head of Consulting
Head of Consulting
Events & Training Manager
Business Growth
Convertions Sales
Discover how our (Social) Media Monitoring solutions can support your business. In our info sessions, we provide insights into features, best practices, and real-world applications.
Browse the calendar alongside to find the next available webinar and register directly. If no webinars are currently scheduled, feel free to reach out anytime via our contact form, email, or phone – we’ll be happy to assist you.
Our cloud-based platform for (social) media analysis enables companies to monitor their suppliers and customers – integrate the data into third-party systems and rely on your existing systems landscape.
Our software is most often used in the domains of:
Identify vulnerabilities in the supply chain and initiate stabilization measures
Evaluate the (financial) health and creditworthiness of customers in order to ensure full, punctual and reliable payment
Use the most up-to-date and powerful AI technologies to analyse (social) media communication regarding your business partners in real time
Profit from our established reporting and alerting infrastructure and receive latest news regarding your business partners customized to your requirements
Overcome deficits of traditional information e.g. analysis of balance sheets and payment behavior commonly used for monitoring the stability of business partners
- Balance sheets are published with time delay, represent past circumstances and to not reflect recent events
- Payment behavior can only be updated when new transactions take place. Within academic studies, cases were encountered, where companies paid invoices in time in order to maintain a clean payment history but delayed or reduced payment of employees. This behavior can only be deteced when integrating data from (social) media platforms in credit risk processes
Always act in compliance with latest legal regulations by integrating our (social) media data and software into your risk management processes
... develop processes for data analysis and decision making, ...
... advise them on appropriate information bases for risk decisions ...
Comparison of ratings, information from sales, payment history and (social) media data regarding their ability to anticipate insolvencies of debtors in cooperation with a leading German mechanical engineering company
Up to 72,9% of bad debt can be reduced if the information base for B2B-credit risk assessment - usually including ratings, payment history, sales information and balance sheet analysis - is enhanced by data from (social) media platforms
It is advisable to start the (social) media monitoring with selected business partners by taking into account e.g. business volume, dependance or risk and scale up the monitoring after establishing processes with high maturity level
(see: Mengelkamp, A.: Verringerung von Forderungsausfällen durch Integration von Daten aus (sozialen) Medien in Bonitätsprüfungsprozesse, in: van Koeverden, A.; Schneider-Maessen, J.; Da Silva, F.; Schumann, M. (Hrsg.): Bundeskongress 2024 – Strategisches Credit Management zur partnerschaftlichen Vertriebskooperation, Kleve, 2024, S. 43 – 56.)
Analysis of social media data regarding insolvencies of suppliers in cooperation with a leading German automobile manufacturer
Suppliers can be classified as prospectively solvent or insolvent with up to 84% accuracy when solely data from social media platforms is considered
While implementing social media analysis for supplier risk management, decisions especially regarding self or external development and hosting of the software, integration of social media data in existing risk management systems as well as reporting and alerting processes were made
(see: Vogel, C. F., Mengelkamp, A.: Bonitätsprüfung auf Basis von Daten aus sozialen Medien zur Bewertung der Lieferantenstabilität in der Automobilbranche, in: van Koeverden, A.; Schneider-Maessen, J.; Da Silva, F.; Schumann, M. (Hrsg.): Bundeskongress 2023 – In der Zeitenwende Klima, Konflikte und Kosten mit aktivem Credit Management meistern, Kleve, 2023, S. 55-75.)
We are happy to support you in establishing knowledge in the areas of (social) media monitoring, data analysis, or artificial intelligence within your company through
