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Why Quality Data Matters
Why Quality Data Matters
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Written by Merav Katz
Updated over 4 months ago

High-quality data sources are the foundation for making informed decisions and driving meaningful change in your sustainability efforts. Our focus on data quality is designed to help you:

  1. Obtain more accurate and reliable greenhouse gas (GHG) emissions data

  2. Make confident decisions in your decarbonisation strategies

  3. Improve your reporting capabilities and meet regulatory requirements

  4. Identify opportunities for improvement in your sustainability practices

To ensure you have access to the best possible data, we've established criteria for what constitutes a high-quality data source:

Credibility

A credible source provides official, verified information that can withstand scrutiny. For example, a standard tax invoice from a utility company would be considered highly credible. These sources:

  • Come from trusted providers

  • Are verified as part of the issuing process

  • Can be confidently presented to auditors without requiring additional supporting evidence

Reliability

Reliable data sources are consistently available and integrated into your regular business processes. This ensures that you have a steady stream of up-to-date information. Reliable sources:

  • Are regularly accessible

  • Form part of your critical business operations

  • Don't require frequent special requests or follow-ups

Standalone Quality

Data sources should be comprehensive and self-explanatory. This means you can understand and use the information without needing additional context or interpretation. Standalone sources:

  • Make sense on their own

  • Contain sufficient information for accurate interpretation and data extraction

  • Don't rely on external documents or individuals for clarification

Consistency

Consistent data sources provide the same type of information over time, allowing for meaningful comparisons and trend analysis. Consistency ensures:

  • The same metrics are reported period after period

  • Data definitions and measurement methods remain stable

  • You can track progress and identify patterns reliably

By focusing on these qualities, we help you transition to higher-tier activity sources, enhancing the value and reliability of your sustainability data. This approach not only improves your current data quality but also supports your long-term goals by providing a solid foundation for data-driven decision-making in your sustainability journey.

As you work with Kinesis, we'll guide you towards using the highest quality data sources available to you, helping you get better numbers faster and continuously improve your data quality over time.

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