Data Cleansing Services
Data cleansing and data quality services in Australia - we fix the duplicate, inconsistent and broken data wrecking your reports and CRM, then keep it clean automatically.
Trusted Data Again: Australia's Data Quality Specialists
Duplicate customers, inconsistent product codes, broken hierarchies, half-empty fields - dirty data is why nobody trusts the dashboards and why the CRM throws up three versions of the same account. Report Simple fixes it at the root. We run a fixed-scope cleanse to sort out the mess you have now, then embed automated data-quality rules into your refresh pipeline - tests, alerts and clear ownership - so the data stays clean instead of slowly rotting again. Clean, trusted data flows straight into your reporting and operational systems, and the dashboards everyone stopped believing become reliable again.
Fixed-Scope Cleanse
We cleanse the data that matters for a defined scope and a fixed fee, deduplicating, standardising and repairing it, so you get a clear outcome rather than an open-ended data project that drifts.
Kill the Duplicates
We match and merge duplicate customer records across your CRM and finance systems into a single clean master, so counts reconcile and marketing stops contacting the same person repeatedly.
Stays Clean
Automated tests and alerts embedded in your refresh pipeline catch bad data at the source as it arrives, so the cleanse holds instead of decaying into the same mess a few months later.
Dashboards You Trust
By fixing data quality at the source, the numbers in your reports finally reconcile, so your team stops second-guessing every dashboard and starts making decisions from it again.
Quote in 48 Hours
We review your data and return a fixed-fee cleanse quote, usually within 48 hours, so you know the scope, the rules and the cost before any of your data is touched.
Our Data Cleansing & Quality Services
Data Quality Assessment & Scorecard
See exactly how dirty your data really is. We profile your key datasets - customers, products, transactions and the hierarchies that tie them together - and score them for duplicates, gaps, inconsistencies and broken references. You receive a data quality scorecard that quantifies the problem and pinpoints where it hurts most, so the cleanse targets the issues actually breaking your reports and CRM rather than polishing data nobody uses.
Fixed-Scope Data Cleanse
Sort out the mess you have now, with a clear start and finish. We run a fixed-scope cleanse on the data that matters - deduplicating records, standardising codes and formats, repairing broken hierarchies and filling or flagging missing values against agreed rules. Every change is traceable and reversible, validated with your team so the cleaned data is trusted. You get a defined outcome and a defined cost, not an open-ended data project that drifts.
Customer Data & Deduplication
End the duplicate-customer problem for good. Duplicate and fragmented customer records corrupt reporting, inflate counts and embarrass you in front of clients. We match and merge duplicates using robust rules, reconcile records across your CRM and finance systems, and establish a single, clean customer master. Your customer counts finally reconcile, marketing stops contacting the same person three times, and every system tells the same story about who your customers are.
Automated Data Quality Rules
Keep the data clean after we leave. A one-off cleanse decays the moment new data flows in, so we embed automated data-quality rules directly into your refresh pipeline - tests that catch duplicates and bad values, alerts when quality drops, and clear ownership for fixing issues. Problems are caught at the source instead of surfacing in a board report. Your data quality becomes a monitored, maintained standard rather than a periodic firefight.
Clean Data Into Reporting & Operations
Turn clean data into trusted reporting and smoother operations. The cleansed, monitored data feeds straight into your Power BI dashboards and the operational systems your business runs on, so reports reconcile and teams stop second-guessing the numbers. We connect the data-quality layer to your wider reporting and, where you want it, run it under an ongoing managed service. Trust in the data returns, and with it trust in the reports built on it.
TURN SCATTERED DATA
INTO A SINGLE SOURCE OF TRUTH
190+ Australian organisations Choose Report Simple.
570+ Successful Projects
We bring deep architectural experience to every engagement, having engineered hundreds of secure, scalable data platforms and semantic models across Australian industries.
100% Australian Owned
We never farm your data assets out to offshore teams. Our team is entirely Australian-based, guaranteeing flawless communication, immediate timezone alignment, and strict data sovereignty.
Your Tenant, Your IP
We build directly inside your cloud environment so the infrastructure is entirely yours - including semantic models, custom code, and IP. You maintain absolute control and ownership without vendor lock-in.
Trusted by leading Australian organisations including Glencore, Domino's, Queensland Urban Utilities, TUH Health Fund and Surfing Australia.
TRUSTED BY
Our Proven Data Cleansing Process
Our senior specialists profile your data, run a fixed-scope cleanse, and embed the rules that keep it clean for good.
1
Profile & Scorecard
We profile your key datasets and score them for duplicates, gaps, inconsistencies and broken references, then sit down with you to agree the cleansing rules and priorities. You receive a data quality scorecard and a fixed-fee cleanse quote, usually within 48 hours, so you know the scope, the rules and the cost before any data is touched.
Cleanse & Validate
2
We run the fixed-scope cleanse - deduplicating, standardising, repairing hierarchies and resolving missing values against the agreed rules - with every change traceable and reversible. Your team validates the results so the cleaned data is trusted before it goes anywhere. The mess you have lived with is resolved with a clear, auditable record of what changed.
Embed Rules & Monitor
3
We embed automated data-quality tests and alerts into your refresh pipeline and assign clear ownership, so new data is checked as it arrives and problems are caught at the source. The cleansed data flows into your reporting and operational systems, and we can run the quality layer under an ongoing managed service. Clean stays clean.
LIVE DASHBOARD
Experience Governed Data
Hover, click, and interact to experience the calculation speed, logic precision, and executive clarity of a robust, expertly engineered semantic model.
Data Cleansing & Quality FAQs
How much do data cleansing services cost?
Data cleansing is scoped to your specific mess, so the cost depends on how many datasets and records are involved and how complex the rules are - which is why we provide a fixed-fee cleanse quote, usually within 48 hours of reviewing your data. We work at senior Australian rates of $200 to $250 or more per hour, but quote the cleanse as a fixed scope so the cost is known upfront rather than open-ended. You get a defined outcome for a defined price.
Clean data feeds straight into reporting - see our Power BI consulting page.
Can you fix our duplicate customer records?
Yes - deduplicating and reconciling customer records is one of the most common cleanses we run. We match duplicates using robust rules, merge them safely, and reconcile records across your CRM and finance systems to build a single clean customer master. Your customer counts reconcile, marketing stops contacting the same person multiple times, and every system finally agrees on who your customers are.
How do you stop the data getting dirty again after a cleanse?
A one-off cleanse decays quickly, so we embed automated data-quality rules into your refresh pipeline - tests that catch duplicates and bad values, alerts when quality drops, and clear ownership for resolving issues. Problems are caught at the source as new data arrives, rather than surfacing weeks later in a board report. Data quality becomes a monitored, maintained standard instead of a periodic firefight you keep having to repeat.
Why don't our dashboards reconcile or get trusted?
Dashboards lose trust when the data underneath is dirty - duplicates inflate counts, inconsistent codes break groupings, and missing or broken hierarchies make totals wrong. No amount of dashboard polish fixes a data problem; it has to be solved at the source. We cleanse the underlying data and keep it clean with automated rules, so the numbers reconcile and your team stops second-guessing every report.
For the reporting built on top, see our Power BI dashboard development page.
What is the difference between data cleansing and data quality?
Data cleansing is the one-off act of fixing the mess you have now; data quality is the ongoing discipline of keeping it clean. A cleanse deduplicates, standardises and repairs your existing data, while a data-quality framework adds the tests, monitoring and ownership that stop it degrading again. We do both - sort out the current state, then embed the rules - because a cleanse without ongoing quality just buys you time before the same problems return.
78% of new clients engage us for recurring data partnerships
Let’s make your first project a success story. Complete the form to request a strategy call, and we'll show you exactly how we can transform your data.
U11002/1328 Gold Coast Highway,
Palm Beach, QLD, 4221, Australia