Summary of the Video Transcript

Overview of KONE, a Global Elevator and Escalator Company

• KONE is a Finnish company that is one of the world's largest providers of elevators and escalators.
• They move around 2 billion people per day using their products, which include automated doors.
• KONE approached PwC with some specific business challenges:
  • Lowering costs for their bottom line and passing those savings on to their customers
  • Gaining better customer insights into how their products are being used in the field

PwC's Approach and Solutions

Data-Driven Strategy

• KONE's strategy is to become a data-driven organization, as data is crucial to understanding their business.
• The data generated from their products (elevators and escalators) provides insights into how people are using them, which helps with R&D and predictive maintenance.

Data Movement and Integration

• PwC worked with KONE to create a scalable, cost-effective "Data Movement Layer" (DML) using native AWS solutions.
• This replaced a complex, expensive third-party integration software solution that KONE had previously used.
• The DML leverages AWS services like API Gateway, Lambda, Kafka, and DynamoDB to efficiently move data between KONE's various systems and data sources.

Use Cases

1. Back-Office Integration: The DML handled over 220 different interfaces between KONE's SAP system and other systems, using only a few reusable integration patterns.
2. Predictive Maintenance: The DML captures sensor data and telemetry from KONE's products, feeding into their predictive maintenance models and AI/ML projects.
3. High-Velocity Lookups: A DynamoDB-based "data host" provides fast, cost-effective lookups for high-velocity data access needs.
4. Data Lake Integration: The DML sends payload data to KONE's data lake in S3, enabling further analysis and insights.

Impact and Benefits

• The DML solution implemented by PwC and AWS has significantly reduced KONE's costs and improved the efficiency of their data management and integration.
• It supports KONE's broader data strategy and enables data-driven decision-making across the business, from predictive maintenance to R&D and operations.
• The modular, reusable integration patterns have improved KONE's agility and ability to scale their data infrastructure.

Customer Testimony

Lulu Zhang, Head of Operations at KONE, discusses how the DML platform has been essential to the company's data-driven strategy, supporting everything from predictive maintenance to financial analysis and operational reporting. The collaboration with PwC and AWS has helped KONE simplify their integration architecture and drive operational efficiency, while delivering cloud-based innovation to transform the way they work.