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LegiStorm Address Standardisation AI: AI Data Standardisation & Quality Improvement

Cleaner addresses. More usable data.

AI-assisted standardisation of inconsistent address fields for government-affairs data.

  • Government Data / Data Quality
  • AI & machine learning
  • Data engineering
  • Project
LegiStorm Address Standardisation AI case study

The Challenge

What stood in the way.

Inconsistent address records reduced the usability of LegiStorm's government-affairs data. The same address written in different ways makes records harder to match, search and rely on.

Inconsistent formats

Address fields were recorded in inconsistent ways.

Inaccurate fields

Some address fields contained inaccurate values that needed correcting.

Downstream usability

Poor address quality reduced how useful the data was for the people relying on it.

Our Solution

How we answered it.

We built an AI model that learns from training data and standardises inaccurate address fields. Instead of hand-written rules for every variation, the model learns the patterns from examples.

  • ProblemAddress variations are too many to fix with fixed rules.
    Our answerWe used an AI model that learns standardisation from training data.
  • ProblemInaccurate fields had to be corrected, not just reformatted.
    Our answerThe model was built to standardise inaccurate address fields.
  • ProblemPoor addresses limited what users could do with the data.
    Our answerStandardising the fields improves consistency across the records.

How It Works

The parts that made the difference.

Model trained on examples

The model learns from training data how addresses should look.

Address standardisation

The model rewrites inaccurate address fields into a consistent form.

Better data quality

Standardised addresses make the wider dataset easier to use.

Results

What changed for the client.

LegiStorm's address records are now more consistent and more useful downstream.

  • Improved address consistency and downstream data usability

Technology

What it was built with.

Part of our AI and machine learning work.

  • AI/ML model

Let’s Talk

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An idea, a challenge, a “what if”. Tell us what you have in mind, and we’ll figure out the next step together.

What happens next

  1. Share your ideaSend the form or book a call, whichever suits you.
  2. Discovery callWe talk through your goals, timeline and scope.
  3. A clear proposalA fixed price or monthly rate before any work begins.
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