Healthcare & Life Sciences

Data-Driven Insights for Enterprise Growth

Our Client’s Backstory

Our client is a global market leader in sleep innovation, utilizing smart bed technology to enhance users' physical and mental well-being. With over 1 million active customers and thousands of employees across the supply chain, the company manages a complex ecosystem of logistics, transportation, and consumer insights. However, their critical data was fragmented across multiple legacy enterprise systems, creating isolated silos that hindered holistic business intelligence.

The Challenge

The client required a unified platform to consolidate large-scale data streams from IoT devices and internal departments. Key challenges included:

Data Fragmentation: Critical insights were trapped in isolated silos, preventing a comprehensive view of the user lifecycle.
Large-scale Scale: The system needed to ingest and process data from over 1 million IoT-connected beds and billions of sleep sessions.
Accessibility: The platform had to be navigable for both technical and non-technical departments, including Marketing, Sales, and Customer Insights.
Security & Compliance: Ensuring high security standards for sensitive user health and biometric data while maintaining high performance.

The Solution

Klika engineered a centralized Enterprise Data Platform (EDP) to unify all operations, activities, and device information. Our solution included:

Automated Data Ingestion

Developed a robust ingestion layer using Azure Data Factories, supporting both scheduled batch jobs and real-time streaming via event hubs.

Unified Reporting Ecosystem

Integrated data from customer orders, user profiles, Net Promoter Scores (NPS), and third-party activity trackers (Fitbit, Nest, Under Armour).

Advanced Visual Analytics

Implemented dozens of automated reporting modules, ranging from specialized Excel reports to real-time Power BI dashboards for cross-departmental use.

High-Performance Querying

Utilized Apache Hive and Spark for querying vast datasets, enabling rapid generation of complex analytics.

The Solution

Klika engineered a centralized Enterprise Data Platform (EDP) to unify all operations, activities, and device information. Our solution included:

Automated Data Ingestion

Developed a robust ingestion layer using Azure Data Factories, supporting both scheduled batch jobs and real-time streaming via event hubs.

Unified Reporting Ecosystem

Integrated data from customer orders, user profiles, Net Promoter Scores (NPS), and third-party activity trackers (Fitbit, Nest, Under Armour).

Advanced Visual Analytics

Implemented dozens of automated reporting modules, ranging from specialized Excel reports to real-time Power BI dashboards for cross-departmental use.

High-Performance Querying

Utilized Apache Hive and Spark for querying vast datasets, enabling rapid generation of complex analytics.

The Solution

Klika engineered a centralized Enterprise Data Platform (EDP) to unify all operations, activities, and device information. Our solution included:

Automated Data Ingestion

Developed a robust ingestion layer using Azure Data Factories, supporting both scheduled batch jobs and real-time streaming via event hubs.

Unified Reporting Ecosystem

Integrated data from customer orders, user profiles, Net Promoter Scores (NPS), and third-party activity trackers (Fitbit, Nest, Under Armour).

Advanced Visual Analytics

Implemented dozens of automated reporting modules, ranging from specialized Excel reports to real-time Power BI dashboards for cross-departmental use.

High-Performance Querying

Utilized Apache Hive and Spark for querying vast datasets, enabling rapid generation of complex analytics.

The Solution

Klika engineered a centralized Enterprise Data Platform (EDP) to unify all operations, activities, and device information. Our solution included:

Automated Data Ingestion

Developed a robust ingestion layer using Azure Data Factories, supporting both scheduled batch jobs and real-time streaming via event hubs.

Unified Reporting Ecosystem

Integrated data from customer orders, user profiles, Net Promoter Scores (NPS), and third-party activity trackers (Fitbit, Nest, Under Armour).

Advanced Visual Analytics

Implemented dozens of automated reporting modules, ranging from specialized Excel reports to real-time Power BI dashboards for cross-departmental use.

High-Performance Querying

Utilized Apache Hive and Spark for querying vast datasets, enabling rapid generation of complex analytics.

The Solution

Klika engineered a centralized Enterprise Data Platform (EDP) to unify all operations, activities, and device information. Our solution included:

Automated Data Ingestion

Developed a robust ingestion layer using Azure Data Factories, supporting both scheduled batch jobs and real-time streaming via event hubs.

Unified Reporting Ecosystem

Integrated data from customer orders, user profiles, Net Promoter Scores (NPS), and third-party activity trackers (Fitbit, Nest, Under Armour).

Advanced Visual Analytics

Implemented dozens of automated reporting modules, ranging from specialized Excel reports to real-time Power BI dashboards for cross-departmental use.

High-Performance Querying

Utilized Apache Hive and Spark for querying vast datasets, enabling rapid generation of complex analytics.

The Result

The deployment of the EDP transformed the client's data management and strategic decision-making capabilities.

Unified 1.2 Billion Data Points

Successfully aggregated over 1.2 billion sleep sessions from 1 million beds into a single source of truth.

Eliminated Data Silos

Provided a centralized access point for all internal and external data, enabling informed decision-making across all global teams.

Increased Operational Efficiency

Real-time insights allowed teams to respond significantly faster to client inquiries, technical anomalies, and market risks.

Foundation for Future Innovation

The platform now serves as the primary infrastructure for developing new user features and activity-tracking integrations.

The Result

The deployment of the EDP transformed the client's data management and strategic decision-making capabilities.

Unified 1.2 Billion Data Points

Successfully aggregated over 1.2 billion sleep sessions from 1 million beds into a single source of truth.

Eliminated Data Silos

Provided a centralized access point for all internal and external data, enabling informed decision-making across all global teams.

Increased Operational Efficiency

Real-time insights allowed teams to respond significantly faster to client inquiries, technical anomalies, and market risks.

Foundation for Future Innovation

The platform now serves as the primary infrastructure for developing new user features and activity-tracking integrations.

The Result

The deployment of the EDP transformed the client's data management and strategic decision-making capabilities.

Unified 1.2 Billion Data Points

Successfully aggregated over 1.2 billion sleep sessions from 1 million beds into a single source of truth.

Eliminated Data Silos

Provided a centralized access point for all internal and external data, enabling informed decision-making across all global teams.

Increased Operational Efficiency

Real-time insights allowed teams to respond significantly faster to client inquiries, technical anomalies, and market risks.

Foundation for Future Innovation

The platform now serves as the primary infrastructure for developing new user features and activity-tracking integrations.

The Result

The deployment of the EDP transformed the client's data management and strategic decision-making capabilities.

Unified 1.2 Billion Data Points

Successfully aggregated over 1.2 billion sleep sessions from 1 million beds into a single source of truth.

Eliminated Data Silos

Provided a centralized access point for all internal and external data, enabling informed decision-making across all global teams.

Increased Operational Efficiency

Real-time insights allowed teams to respond significantly faster to client inquiries, technical anomalies, and market risks.

Foundation for Future Innovation

The platform now serves as the primary infrastructure for developing new user features and activity-tracking integrations.

The Result

The deployment of the EDP transformed the client's data management and strategic decision-making capabilities.

Unified 1.2 Billion Data Points

Successfully aggregated over 1.2 billion sleep sessions from 1 million beds into a single source of truth.

Eliminated Data Silos

Provided a centralized access point for all internal and external data, enabling informed decision-making across all global teams.

Increased Operational Efficiency

Real-time insights allowed teams to respond significantly faster to client inquiries, technical anomalies, and market risks.

Foundation for Future Innovation

The platform now serves as the primary infrastructure for developing new user features and activity-tracking integrations.

Technology Stack

SQL

CosmosDB

HDInsights

Apache Spark

Apache Hive

Apache Kafka

HBase

Power BI

Azure Data Factory

Technology Stack

SQL

CosmosDB

HDInsights

Apache Spark

Apache Hive

Apache Kafka

HBase

Power BI

Azure Data Factory

Technology Stack

SQL

CosmosDB

HDInsights

Apache Spark

Apache Hive

Apache Kafka

HBase

Power BI

Azure Data Factory

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