Analytics, AI & Data Insights
Our expertise focuses on exploiting the full potential of data and AI.
The objective is to support the development of data-driven ways of working that enable a focus on customer needs along the customer journey and the internal value chain.
By building modern, scalable data infrastructures and introducing AI, processes can be automated and customer needs accurately predicted.
Compliance with ethical data standards and governance requirements is a matter of course for us.
Data strategy and infrastructure
- Data strategy roadmap: Definition of milestones for the implementation of a data strategy that contributes to the overarching corporate goals
- Data models: Translation of the strategy into data models
- Data infrastructure: Development of data products, selection of suitable data architecture
- Operating model: Introduction of DataOps
- Value: Quantifying the value of data analytics by calculating ROI
Analytics capabilities and implementation
- Data-driven work: Development of KPI frameworks and introduction of data-driven planning and decision-making processes
- Interpretation of customer needs: Analysis of customer behavior at all touch points and derivation of recommendations for action
- Performance analyses and reporting: transparency of results to optimize processes, for example budget allocation in marketing
- 360° customer view: Consolidation of all customer data, for example for excellent customer service
- Market analyses: Automated analysis of market data, for example to identify product range trends
Personalization and automation
Customer segmentation: Precise segmentation as the basis for individual customer approach and customer loyalty
Predicting customer needs: Use of predictive analytics to optimize product recommendations, order quantities and pricing
Automation: introduction of AI-driven process automation, for example in customer service and marketing
Data ethics and governance
Data protection: Gap analysis and recommendations for compliance with data protection guidelines
Data security: Establishing secure processes from data collection and processing to model deployment and maintenance
Responsible AI: development and introduction of ethical guidelines for the use of AI
More efficiency through AI
Artificial intelligence (AI) will bring about a quantum leap in e-commerce. The variety of AI applications available is an opportunity for e-commerce companies of all sizes in particular to analyze and use data in the best possible way. Automation and machine learning can reduce costs and increase sales.
We have already supported a number of companies in the implementation of AI solutions and have achieved significant effects: From +31% increase in CR (MQL to order) through optimized customer scoring, to -80% reduction in manual effort for order processing in online stores.
