Data Lake

Problem Statement

Client’s existing data platform (SAP HANA) cannot ingest new types of data i.e. unstructured data – social media, IoT, streaming data, etc., making it difficult to scale.
Require experienced engineers to control the Kiln Rotary machine, and rely solely on human knowledge and know-how.

Develop a centralised Data Lake platform to reduce time consuming manual data gathering working tasks and increase data analytics capabilities
Develop a machine learning model that can predict 1 hour before breakdown resulting in huge cost savings

Centralized, streamlined, and ingest real-time sensor data from manufacturing plants allows other operating entities to perform data science and other analytics use cases in the future
On-site engineers know early before the machine breakdown, so they can plan the maintenance process beforehand and support cost savings in the future

Optimize manufacturing costs by tracking all processes and identifying bottlenecks

Predict manufacturing process breakdowns early so engineers can plan maintenance beforehand

Improve production planning efficiency and flexibility by using automated optimization algorithms

Collect and personalize data in one platform to monitor business performance and support management decisions

In this complex world,

we need to collaborate to deliver outstanding work.