Our achievements
Successful and satisfied customers are what drives us, innovative projects and products are our passion. Our achievements and references are based on close and trusted collaboration. Our customers also trust us with critical questions.
Reference projects
Data integration of numerous subsidiaries and technical accounting according to IFRS
niologic enabled data integration of numerous subsidiaries and technical accounting according to IFRS for company marked by rapid growth.
Termination behavior, churn prediction and rotational churn for monthly subscription contracts
For a company-wide multi-brand strategy, niologic implemented portfolio management as well as churn analyses and churn prediction. Using Bayesian probability and Kaplan-Meier, we implemented predictive analytics in an in-memory database. Furthermore, Rotational Churn for monthly subscription contracts could be evaluated.
Updating the fire protection demand planning for a medium-sized district city
niologic updated the fire protection demand planning for a medium-sized district city. A computer-assisted risk model based on the hazard matrix was created. Aditionally, niologic optimized sites.
Introducing CRM analytics for a leading industry event
To ensure further growth of a leading industry event, marketing and sales processes were to be digitalized and automated. niologic consolidated customer data and set up a CRM systems, as well as customer analyses in order to specifically address customers.
Analytical platform and data architecture in Google Cloud
niologic created a generalized data structure for a data warehouse (DWH) based on Google BigQuery, Apache Airflow and the Data Vault 2.0 model. Through a high abstraction of ETL codes, a simplified maintainability could be reached for the DWH.
Cloud migration of an SaaS solution, introduction of Kubernetes and containers
An analytic big data business solution was migrated from Amazon AWS to Google Cloud without any downtime. Afterwards, the foundation was laid for a cloud-native development, with the introduction of Kubernetes and container technology.
Identifying social media trends with deep learning
Identifying trends and virality in social media channels using a deep learning model. The algorithm was updated daily with Kubernetes and Google Tensorflow (continuous learning).
Improved supply chain management with data integration and process integration
Improved supply chain management with data integration and process integration. niologic supported their customer by merging data into an installed base, business plans, order processes and a prognosis of demand.
Continuous learning with deep learning for analytics platforms
For analytics platforms in marketing, we implement daily updated prognoses using continuous integration with deep learning.
Data driven product management by analysis of usage
Our customers want to launch digital product innovations. niologic supports product management with making prognoses of future usage.