Advanced Analytics and Insights

Why is Advanced Analytics and Insights important?

1. Foundation for informed decisions
‍Data-based insights form the basis for identifying opportunities and risks at an early stage and initiating effective measures.

2. Transparent processes & cost control
‍With reporting &monitoring, cost analysis and fraud monitoring (anomaly detection)you get a clear view of the cost structure and possible security gaps.

3. Targeted increase in sales
‍With demand and revenue prediction you can optimally plan your resources and maximize sales potential.

4. Efficient customer interactions
‍With the help of customer journey optimization and customer life cycle analyses you are able to create personalized offers and better customer experiences.

5. Sustainable growth strategy
‍Churn prediction and product life cycle analyses help you to promote long-term customer loyalty and develop your portfolio in line with the market.

Our approach to Advanced Analytics and Insights

requirements analysis & data strategy
- Clarification of which business data is relevant (e.g. sales, customer, marketing data)
- Creation of a conceptual roadmap on how data is collected, cleansed and secured
data modeling & integration
- Aggregation and preparation of all relevant data in a scalable data infrastructure
- Use of suitable data warehouse architectures (e.g. BigQuery, Snowflake or Azure Synapse)
analytical methods & modeling
- Reporting and monitoring: identification of key metrics (e.g. cost analysis, fraud monitoring)
- Demand & revenue prediction: use of statistical models and machine learning algorithms
- Evaluation of marketing campaigns, customer journey & lifecycle analyses (e.g. churn prediction)
interpretation & recommendations for action
- Derivation of specific optimization measures
- Development of strategies to increase sales, customer loyalty and efficiency
continuous optimization & MLOps
- Iterative improvement of models and dashboards through an agile approach
- Use of MLOps platforms (Vertex AI, MLflow) for the automated operation and scaling of your models

What results (deliverables) do you receive after/ during / through Advanced Analytics and Insights?

‍Data collection and integration concept:
A clear roadmap of how relevant data sources are connected and in which structure your data is stored.‍
Detailed reporting and monitoring:
Dashboards with real-time metrics on costs, fraud detection, marketing performance and more.‍
Forecasts & analyses:
- Demand & revenue forecasts for precise resource planning
- Customer life cycle analyses including churn prediction
- Marketing campaign analyses to measure return on investment
Recommendations for action & optimization suggestions:
‍Concrete measures to improve your cost efficiency, marketing strategy and customer experience.‍
Scalable analytics architecture:
‍We ensure that your solutions remain user-friendly and future-proof, including automated MLOps processes.

Matthias Dietrich

CEO & Founder

As the founder and managing director of foobar Agency, Matthias brings over 20 years of experience in implementing and strategizing eCommerce projects. His expertise helps companies effectively translate technological innovation into business success.

Fritz has 10 years of experience in strategic consulting for medium-sized businesses and previously served as Head of eCommerce at Burda Digital, where he successfully guided brands like cyberport. His strategic expertise combines practical implementation with visionary approaches.

Fritz Schildt de Baey

Associate Partner

Fritz has 10 years of experience in strategic consulting for medium-sized businesses and previously served as Head of eCommerce at Burda Digital, where he successfully guided brands like cyberport. His strategic expertise combines practical implementation with visionary approaches.

Max Lüling

Advisor

Max brings more than 20 years of experience in consulting and building digital business models. His focus lies on digitizing and transforming traditional business structures to prepare companies for future challenges.

Data-based planning for sustainable business success

Advanced Analytics and Insights

Let's talk!