Welcome to walkerOS

walkerOS is a unified, privacy-centric data collection platform that creates a single source of truth for data, marketing and product teams. It offers features like data capturing, consent management, data integration, and tag management enabling full data ownership. The project started as a web library called walker.js and has evolved into a complete first-party tracking system.

Why walkerOS?

• Sustainability: A robust infrastructure for continuous data collection, even amidst evolving data landscapes.
• Privacy focus: Emphasizing user privacy, with a strict privacy-by-design approach, in-build consent management and various data protection features.
• Complete data ownership: Gain full control with your first-party data, avoid vendor lock-in and control data processing.
• Simplified data model: The intuitive event model streamlines data collection, making analytics straightforward and efficient.
• Flexible architecture: Adapt walkerOS to your specific data needs with the modular design and grow step-by-step.

How walkerOS operates

walkerOS is a streamlined framework with one standardized Event model. Components are designed to always be extensible for a steadily growing data journey.

Basic infrastructure

• Sources: Event collection and state management with complete control.
• Destinations: Data activation by initializing, mapping and then sharing events to third-party tools.
• Utils: Supporting helper function to standardize and improve data collection.

Complete infrastructure

Example event journey

• a: The walker.js integrates with the website, initializes event listeners and interprets the tagging on the page.
• b: The walker.js ensures a user granted consent, eventually initializes and  maps events appropriately before pushing them to destinations.
• c: Events are formatted correctly and get sent directly to the respective tools from the source.
• d: Events can be sent to a (public) endpoint from various sources, running a Source Node
• f: Similar to client-side operations, consent gets verified, a  destination eventually initialized, and event preparation are processed server-side.
• g: Events are formatted correctly and sent to tools from the server.

Our principles of data collection

• Step-by-step: While everyone has become an AI expert in no time, we should remember everything that has to be done before going there. It's a journey that requires lots of work from the ground up. No shortcuts.

• Don't build on rented land: In the ever-evolving world of data, relying solely on external platforms can be risky. Prioritize building your own robust data infrastructures to maintain control and adaptability. Sunsets are inevitable, also for features.

• Resilience is key: As data environments are dynamic, designing resilient systems can help withstand changes and unexpected challenges, ensuring continuous data flow and integrity. Yes, more legal requirements are coming.

• Focus on what you can control: In data management, focusing on elements within your control, like data quality and security, can lead to more reliable and effective outcomes. It's your responsibility and a great chance to set the rules.

• Use tools only for what they are made for: Utilize each data tool for its intended purpose to maximize efficiency and avoid unnecessary complications in data processes. Just don't misuse them, please!

• Data is never done: The journey of data is ongoing. Continuous analysis, refinement, and updating are crucial to keep data relevant and actionable. Build-measure-learn-grow.

• Internalize data: Embrace data as a core part of your strategy and operations. Integrating data into your processes ensures it becomes an intrinsic part of decision-making.

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If you need professional support with your walkerOS implementation, check out our services.