In a workshop, eoda enabled the DB Analytics team to easily prepare descriptive analysis results with Shiny.
A selection of our data science projects
Optimizing retail stores or developing a scoring algorithm for identifying new customers – get an overview of our projects and collect ideas for data science use cases in your company.
Knowledge transfer workshop: Shiny apps for DB Analytics
Automated creation of individual reports for retail stores
eoda enabled the client to generate customized reports with individual information (e.g. a visualization of the catchment area) at the push of a button.
Predictive Maintenance at TRUMPF Laser
eoda helped TRUMPF Laser to increase their analytics maturity by means of data and algorithms.
Market basket analysis for optimizing the customer approach of training providers
Increasing the efficiency of marketing and sales activities by applying a market basket analysis.
Analysis of the success factors of retail stores
Development of a data mining model for classifying grocery stores with regard to characteristics of the store and its surroundings.
Optimization of promotion campaigns for an international retailer
eoda uses data mining to identify patterns and relations for the planning of future promotions.
Customer analysis for the VR Bank Werra-Meißner
Evaluating customers' susceptibility to certain consulting topics with data mining and thus optimizing sales processes.
Development of a scoring algorithm
eoda supports databyte® in identifying potential new customers.
Automated categorization of answers
Development of a text mining algorithm for the OBI Group.
Self-learning address data base
eoda enables the digital bank account change service of fino digital with its self-learning address data base.
CRM data cleansing for industrial companies
Support of a migration to Microsoft Dynamics CRM for one of the world's leading producers of cellulose and paper products.
Precise forecast model for 50Hertz
eoda uses data mining to create reliable forecast models for balancing grid losses.
Text mining for predicting prices in the energy sector
Individual training for implementing text mining algorithms in R for an energy supplier.
Image analysis for a German handball team
eoda conducted an extensive image analysis based on a fan and mass survey for the MT Melsungen.
CRM data consolidation after company fusion
Cleansing and consolidation of CRM data after two international hotel chains merged.
CRM potential analyses
CRM potential analyses as a standardized project from evaluating the situation to data enrichment to reporting.
Integration of paper-based processes with SAP
Development of individual software for an automated document acquisition for SMA AG.