Data Cleanup

Automate Your Data Cleanup

Eliminate manual data cleanup with a custom automation workflow. Built by Harvard-educated experts, our solutions save mid-market Australian businesses 8+ hours/week on average.

8+ hours/week

Time saved

$1,500+/month

Cost reduction

98%

Client retention

2 weeks

First prototype

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The Problem

Manual data cleanup creates these challenges for businesses.

Manual data cleanup wastes hours every week that your team could spend on higher-value work

Your data cleanup process cannot scale - doubling volume means doubling the manual effort

Staff turnover creates risk because data cleanup knowledge lives in people's heads, not systems

Inconsistent data cleanup outputs undermine client trust and team confidence

Automated Workflow

Here is how we automate your data cleanup end to end.

Quality Assessment

Scan your database for duplicates, incomplete records, and outdated information.

✓ Tool: Google Sheets
✓ Action: Assess quality

Deduplication

Identify and merge duplicate records based on matching rules.

✓ Tool: Zapier
✓ Action: Remove duplicates

Standardisation

Standardise formats for phone numbers, addresses, company names, and other fields.

✓ Tool: Zapier
✓ Action: Standardise data

Enrichment

Enrich records with missing data from external sources where possible.

✓ Tool: Zapier
✓ Action: Enrich data

Quality Reporting

Generate data quality scorecards and track improvement over time.

✓ Tool: Google Sheets
✓ Action: Report quality

Tools Involved

We connect these tools into a seamless automated workflow.

Zapier

Google Sheets

HubSpot

Slack

Benefits

What you gain when you automate data cleanup.

Data Cleanup Automation Built for You

Unlike off-the-shelf tools, we build data cleanup automation tailored to how your business actually operates. No workarounds or compromises.

Cleaner Data Across Your Data Cleanup Workflow

Automated data cleanup means data enters your systems once, correctly. Eliminate duplicate entries, formatting inconsistencies, and stale records.

Free Your Team from Repetitive Data Cleanup

Nobody joined your team to do manual data cleanup. Automation handles the repetitive work so your people can focus on strategy, creativity, and client relationships.

Scale Data Cleanup Without Scaling Headcount

Handle double or triple the data cleanup volume without hiring additional staff. Automation absorbs growth so your team stays lean and focused.

Data Cleanup Automation FAQ

We follow a phased approach for data cleanup automation: discovery in week one, a working prototype by 2 weeks, and full implementation within 4-8 weeks. Each phase is tested with your team before moving forward.

We integrate with Zapier, Google Sheets, HubSpot and 150+ other platforms. During the free assessment we map every tool in your workflow and design the integration strategy before writing a single line of code.

Every data cleanup automation is scoped individually because your workflow is unique. We price based on complexity and integration count, then show you the projected time and cost savings so you can evaluate ROI before committing.

Not at all. Keeping your existing tools intact is a core principle of our approach. That means zero retraining costs, zero data migration headaches, and immediate ROI because your team keeps working the way they already know.

All our automations include error handling, retry logic, and alerting. If a step fails, the system queues it for retry and notifies your team. We provide 3 months of post-launch support, and our 98% client retention rate speaks to our ongoing reliability.

Absolutely. Many clients start by automating the most time-consuming or error-prone steps of data cleanup and expand from there. We recommend a phased approach that delivers quick wins while building towards full automation. Our free assessment will help identify where to start for maximum impact.