Implemented a Dashboard for IoT Sensor Data and a Prototype for Anomaly Detection

German Railway Supplier

Implemented a Dashboard for IoT Sensor Data and a Prototype for Anomaly Detection

The Challenge

Our client faced challenges in exploring the data and identifying patterns due to data availability on 3rd party cloud envrionment.

Maximized system efficiency and performance through insights with IoT sensor data dashboard and advanced anomaly detection prototype.

The Approach

To address this, we utilized open APIs to aid the extraction of data from 3rd party cloud environment.

Data could then be prepared and cleaned and combined into different data streams for the purpose of creating dashboards.

Our experts applied a suitable machine learning algorithm that is catered to identifying anomalies for our client.

Dashboard and cutting-edge anomaly detection help uncover valuable insights and keep your system performing at its best with ease.

The Result

We improved data exploration and understanding, real-time anomaly detection and notification, and the ability to identify and address root causes.

Let’s create sustainable change together.

Bodo Forstmann

Partner

Automotive | Life Sciences | Healthcare

Data & AI

+49 (0)40 809 081 – 172

Dr. Johannes Wagner

Managing Director – Analytics

Data & AI

+49 (0)40 809 081 – 172

Philipp Pytel

Managing Director – Analytics

Data & AI

+49 (0)40 809 081 – 172