Appstam uses statistical methods to gain insights from your business data.
 
This allows to reduce costs, improve decisions and develop new products and services.
 
Statistical Knowledge combined with mastering state-of-the-art technologies allows us to enhance your business intelligence with data science components.

Cost Reduction

Proper use of big data technologies and algorithms reduces the execution time of models and reports, allowing for fast responses in a dynamic business environment.

Decision optimization

The conception of forecasting models and enhancement of existing models with external data allows to adjust your supply to market fluctuations and take decisions early.

New Services and Products

Recommender Systems for financial products based on existing customer data allow an increase in sales and customer satisfaction.

---

Areas of application

---

Appstam develops solutions for different divisions. The domain for big data applications extends from purchasing and finance to marketing and sales.

Finance

Develop new risk measures and risk analyzes.
Establish systems for fraud prevention.
Improve business planning by company performance analysis.

---

Process Mining

Discover irregularities in payment processes.
Improve your purchasing as well as the entire supply chain.
Estimate the duration of a process based on historical data
Enhance your compliance management system.

Predictive Maintenance

Optimize maintenance strategies.
Avoid production losses.
Extend the lifetime of your investments.

---

Retail

Personalize the targeting of your marketing.
Check and improve your loyalty programs.
Get to know your customers better with customer segmentation.
Analyze the purchasing behavior with market basket analysis.

---