Our success stories
Erfolgreiche und zufriedene Kunden sind unser Antrieb, innovative Projekte und Produkte unsere Passion. Unsere Erfolge und Referenzen basieren auf einer engen und vertrauensvollen Zusammenarbeit. Unsere Kunden vertrauen uns auch kritischste Fragestellungen an.
Reference projects
Introducing an analytics platform for a management consulting firm
Our client, a global management consultancy, wanted to acquire a data platform for the efficient use of data scientists in consulting teams. niologic implemented an analytics and data science platform for the consulting industry specialists.
Simulation of alternative drive forms for technology evaluation in fire protection demand planning
Our customer, a large plant fire brigade in Germany, assigned us the evaluation of alternative drive forms for the accessibility of their site. niologic carried out simulations of travel time and accessibility with their software premergency and compared several drive forms.
Architecture and Implementation of a serverless platform for Data Science
Our client, the product branch of a top-tier management consultancy, wanted a platform for calculating short- and long-term calculations. niologic planned and implemented a calculation platform based on the design principle of a serverless architecture.
Migrating an Analytics and Big Data Platform to Microsoft Azure and Kubernetes
Our client intended to consolidate their development of the analytics platform in Microsoft Azure and replace their own Big Data infrastructure.
Manufacturing Analytics in der Chip-Produktion und Halbleiterherstellung
niologic supported the data analysis and post-mortem diagnosis of dies destroyed by plasma effects.
Data strategy for the introduction of artificial intelligence (AI)
niologic moderated the strategy workshop, supported a successful trading platform in roadmapping, data strategy and personnel recruitment.
Assortment optimization as data science a training in retail
niologic trained a newly founded Data Science team in Retail Analytics and the use of distributed systems such as Apache Spark, SparkML and Hadoop.
Data strategy for the introduction of a Big Data platform
niologic supported the customer's product development. A new software architecture and Big Data platform were introduced.
Site inspection and travel time isochrones for several sites of a large plant fire brigade on the basis of operational data
niologic carried out a site inspection with operational data and created driving time isochrones for several sites of a large plant fire brigade.
Companion sales and upselling for monthly subscription contrancts
niologic provided the analyses for companion sales and upsell potential. Thus, value added services and bundles could be introduced in a targeted manner.
Technical Due Diligence for a Food Startup
Within this context, niologic carried out the technical examination of a food start-up and examined patents and intellectual property.
Site analysis and optimization for a plant fire brigade with several stations
niologic supported a plant fire brigade with a site analysis and
a site optimization using travel time isochrons and network analyses.
Introduction of Tribal Leadership to scale agile software development processes
Introduction of tribal leadership to scale agile development for a leading strategy consultancy (software, big data).
Post-merger integration of customer analyses and technical accounting
niologic supported the Big Data integration of accounting systems and customer data in terms of numerous accounting regulations according to US-GAAP and IFRS.
Marketing and CRM Analytics for a Formula 1 sponsor
niologic supported a customer with marketing and CRM analytics for their Formula 1 sponsoring in the data enrichment and identification of customers.
Customer and portfolio analyses supporting commercial and financial Due Diligence on the seller's side
niologic provided all Big Data customer analyses and product portfolio analyses for several sales rounds of a bidding process.
IT and AI Due Dilligence of a startup
niologic was entrusted with the IT and AI Due Diligence of a startup. Potential applications and current use of artificial intelligence (AI) were furthermore reviewed.
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.