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BearingNode's Data and Information Observability framework

  • Writer: Daniel Rolles
    Daniel Rolles
  • Oct 14, 2024
  • 2 min read

Updated: Dec 22, 2024

In today's data-driven world, Chief Data Officers (CDOs) and Chief Data and Analytics Officers (CDAOs) face unprecedented challenges in managing, governing, and deriving value from their ever-growing data assets. Traditional approaches to data management are no longer sufficient to meet the complex demands of modern enterprises.


BearingNode is proud to introduce our Data and Information Observability (D/I O11y) framework, designed to empower data leaders with the tools and insights needed to transform their data assets into a true competitive advantage.


We have launched our first in a series of whitepapers for Executives (CDOs / CDAOs, or COOs, CEOs, CIOs). For eligible organisations see the download link below.


Key Features


  1. Value-Centric Approach: Unlike traditional frameworks, our D/I O11y framework directly links data operations to C-suite priorities, enabling you to demonstrate the ROI of your data initiatives.

  2. Comprehensive Scope: Covering the entire data lifecycle from discovery to governance, our framework provides a holistic view of your data ecosystem.

  3. Connected Operating Model: By considering people, process, technology, and data elements, we ensure a well-rounded approach that addresses all aspects of implementation and operation.

  4. Integration with Existing Practices: Our framework seamlessly integrates with your current Data and Information Asset Management practices, enhancing rather than replacing your investments.

  5. Actionable Insights: With over 150 well-defined metrics and 500+ functional requirements, our framework empowers you to make data-driven decisions that drive business outcomes.




5 Core Capabilities of Data and Information Observability.


Core Capabilities

The BearingNode D/I O11y framework is built on five core capabilities:


  1. Value: Aligning data assets with organizational objectives and quantifying their impact

  2. Discover: Identifying and cataloguing data sources, metadata, and infrastructure

  3. Track: Continuously monitoring data quality, lineage, and usage patterns

  4. Comply: Ensuring adherence to regulatory requirements and ethical standards

  5. Govern: Establishing and enforcing data strategies, policies, and risk management practices



White Paper

We have a white paper which provides an great introduction to the framework. Click here to download.


Download Whitepaper



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