Companies want to leverage their data to make better decisions, optimise processes and develop new digital services. Yet all too often, they face data silos, poor data quality or complex system landscapes. Even established analytics solutions hit their limits as data volumes grow –resulting in rising costs and declining performance. Sound familiar?
The answer is Databricks: a central data intelligence platform that brings together data from diverse sources, harmonises it and makes it analytically accessible. All with top-tier quality, security and simple access control.
As a certified Databricks partner, Device Insight helps organisations implement a modern lakehouse architecture – the foundation for data analytics, machine learning and decision-intelligence.
The Databricks Lakehouse unites the best of both worlds: the flexibility and cost-efficiency of a data lake with the performance and reliability of a data warehouse. This data architecture enables companies to process structured, semi-structured and unstructured data in real-time, analyse it and serve it across departments. This creates a unified data foundation for Data Engineering, Machine Learning & AI, and Data Analytics. The lakehouse architecture forms the core of the Databricks Data Intelligence Platform.
Robotics specialist KUKA is constantly working to make its products and components more efficient and sustainable. Energy consumption plays a crucial role in this effort. To uncover potential savings and accurately determine CO₂ emissions per workpiece, data first needs to be made transparent. This involves processing and analyzing a wide range of parameters from both production and various third-party systems.
Based on a Databricks lakehouse architecture, an analytics platform was created where data from a variety of sources can be consolidated. This includes high-resolution process data detailing individual production steps, energy management system data and external information on the electricity mix. The consolidated data enables:
Precise calculation of energy consumption per part
Transparent visualisation of energy flows across all plants
AI-supported analyses to identify savings potential and optimise processes
Results: Increased sustainability, higher energy efficiency and data-driven production decisions that deliver both economic and ecological value.
The Data Intelligence Platform from Databricks is built on a Lakehouse architecture and integrates data engineering, data science and analytics within a central, user-friendly environment. This enables organisations to unlock new value from their data.
We demonstrate how companies can overcome data silos, cost traps, and complexity barriers when implementing data analytics on Databricks.
Arrange an individual and non-binding consultation.
