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Data mapping introduction

What is mapping, what are the benefits and how does it work.

Daan van Hal avatar
Written by Daan van Hal
Updated over a month ago

What is Data Mapping in Pickler?

Data mapping in Pickler is the essential process that converts your source data—such as materials and production methods—into meaningful environmental insights.

When you input product data (source data), it lacks environmental context on its own. To generate accurate impact calculations and reports, this information needs to be linked, or mapped, to target data. This target data provides the necessary environmental benchmarks for assessment.

For instance, when you enter a material like "Bio Polyethylene" as source data, Pickler maps it to target data that details the environmental implications, enabling precise impact evaluations for your packaging.

Benefits of mapping

  • Seamless Onboarding: No need to adapt your product data to Pickler’s system, simplifying the initial setup.

  • Flexible Formats: Minimal restrictions on input formats make it easy to start using Pickler.

  • User-Friendly Navigation: Familiar product data ensures intuitive use for all team members.

  • Reduced Errors: Avoid adapting to new naming conventions, making data handling easier and less error-prone.

  • Efficient Mapping: Map once and reuse the same data across projects, saving time.

  • Transparency and Compliance: Clear separation between your source data and Pickler’s LCI database, supporting anti-greenwashing standards.

How mapping works

Gather and Upload Your Source Data
Start by uploading your product’s key details—known as source data—into Pickler. This includes essential fields like product name, weight, materials, production location, and end of life region. For a full list of required data fields.

Map Source Data to Target Data
To improve accuracy, map your source data to specific values in the IDEMAT database or Google location data, which provide real-world insights on carbon footprint, energy use, and resource consumption. This mapping process ensures scientifically-backed, ISO-compliant impact calculations.

Refine Over Time with More Specific Data
As you collect more specific data, replace worst-case placeholders with detailed mappings. This ongoing process allows you to continually enhance the precision of your assessments, reduce estimated impacts, and produce more accurate environmental reports.

Getting help

When you don't know what to map your source data to, you can get help by reaching our to us via the chat or [email protected].

Getting started

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