Data lakehouse as a central intelligence platform
SAP, Salesforce, production and sensor data transferred to Databricks — a central data platform for AI, BI and GenAI use cases of many data teams.
- Customer
- Chemical company
- Industry
- Chemistry / Industry
- Project duration
- 12 months
Valuable data was distributed across SAP, Salesforce, production systems and numerous sensor data sources. Silos made it difficult to access, prepare, and scale for AI, BI, and GenAI applications. There was a lack of a central, high-performance platform.
We brought together SAP, Salesforce, production and sensor data in a Databricks lakehouse. With Bronze, Silver and Gold layers, we created a scalable database that multiple data teams can use simultaneously for AI, BI and GenAI.
- Democratize data access for all relevant data teams
- Acceleration of AI, BI and GenAI initiatives through a central database
- Improved data quality and consistency across all sources
- Scalable performance and central data governance
Deliverables
1 lakehouse
central platform
SAP + Salesforce + sensors
integrated sources
AI / BI / GenAI
Use-case foundation
More success stories
Plant capacity without hardware investment
Ingredion needed data-driven predictions for optimal response times. Precise forecasts for all production conditions increased capacity by up to 10% in six months.
AI guided repair assistant
An MVP for guided repair plus automatic quoting in just two months. The assistant suggests the procedure to technicians directly in the service software with 90% accuracy.
Next-Best-Action Marketing im Telko-Konzern
Data science-supported control of call centers and sales activities: 20% more call acceptance and, depending on the product, 2–15% more sales.
KI-getriebene Glasfaser-Gebietsausbauplanung
A planning tool that identifies optimal expansion areas and predicts expansion costs and sales forecasts in a data-driven and explainable manner.