Case study · IoT · Databricks on AWS

A data democratization platform for IoT analytics.

How Tenplus gave Electrolux teams unified, self-service access to connected-appliance data on Databricks and AWS.

DatabricksAWSData meshIoT & mobile ingestionCost tracking
IoT · Databricks on AWS
From locked-away data to self-service for every team.
$30k+Licensing addressed
1Unified platform
All teamsSelf-service access
Client background

Electrolux: a global leader in home appliances.

Electrolux is a global leader in home appliances with a strong focus on connected, IoT-enabled products. Their appliances generate large volumes of data through mobile apps and connected systems. Product, engineering and data teams all rely on accurate data to improve user experience and drive innovation.

At a glance
  • Consumers using connected home appliances
  • Mobile app users interacting with smart devices
  • Product and IoT teams building features and ecosystems
The problem

Data was available, but not accessible.

Electrolux had a large amount of data, but no clear way for teams to access or use it effectively.

No visibility into how end users were interacting with appliances.
Limited access to data for non-technical teams.
Multiple dashboards across teams with inconsistent results.
No unified view of data across systems, and no historical tracking for AI.
No clear way to track cloud costs per appliance.
Data spread across platforms, driving duplication and high licensing cost.
What they needed
  • A centralised data platform
  • Easy access to data for all teams
  • Consistent and reliable reporting
  • A scalable architecture aligned with data-mesh principles
  • A foundation for future AI and analytics
Solution overview

A unified data platform on Databricks and AWS.

Tenplus built a platform for data democratization, making data accessible to technical and non-technical users while keeping it consistent and scalable.

A

Databricks

for data processing, analytics and dashboards.

B

AWS

for cloud infrastructure.

C

Data pipelines

for ingestion and transformation.

D

IoT and mobile-app integration

unifying every data source.

E

Real-time and batch processing

so teams analyse data efficiently.

Built with DatabricksAWSData meshIoT & mobile ingestionCost tracking
How we built it

From disconnected systems to one platform.

1

Step 1Data ingestion and integration

2

Step 2Data processing with Databricks

3

Step 3Building data access layers

4

Step 4Dashboard development

5

Step 5Cost tracking and monitoring

Results

Unified data and confident decisions.

  • A centralised data platform for all teams.
  • Improved visibility into user behaviour and appliance usage.
  • Consistent reporting across departments.
  • Reduced duplication and lower licensing costs.
  • Better tracking of cloud costs and resource usage.
  • A strong data foundation for AI and advanced analytics.
★★★★★
Working with Tenplus helped us bring structure and clarity to our data. The platform they built allowed us to access and understand our data in ways that were not possible before. We now have better visibility, improved decision-making and a strong foundation for future innovation.
IoT Data Team · Electrolux
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