The most common reason an automation or reporting project underdelivers is not the tool — it is the data feeding into it. A Power BI dashboard connected to inconsistent data shows inconsistent numbers. An Excel automation built on duplicated records produces duplicated outputs. The fix is not a better tool. It is cleaner data.
From a single messy spreadsheet to a full multi-system data quality project — scoped and priced before any work begins.
Identify and merge duplicate records across your datasets — customers entered twice, products with multiple codes, contacts duplicated across systems. Clean once, reliable forever.
Dates in six different formats, phone numbers with and without country codes, postcodes in inconsistent cases. We standardise everything so your data behaves predictably.
Data that lives in multiple systems and does not match up. We identify the discrepancies, resolve the conflicts, and set up processes to keep them in sync going forward.
Blank fields that break your reports and formulas. We identify what is missing, fill what can be inferred, flag what needs manual input, and validate what remains.
Build validation logic into your data entry process so bad data cannot enter the system in the first place. The right fix for recurring data quality problems.
Before any automation project, we audit and clean the source data. Automation built on bad data produces wrong outputs fast. We fix the foundation first.
Every automation project we build starts with a data audit. Before writing a single line of code or building a single query, we look at the source data and ask: is this clean enough to build on? In around half of all projects, the answer is no — and the cleansing work happens first.
This is not a problem. It is just part of the process. A business that has been running for several years on manual data entry will almost always have inconsistencies that have built up over time. Cleaning them properly — once, with a structured approach — gives you a foundation that everything else can be built on reliably.
We use Power Query for Excel and Power BI data, Python for large datasets and complex logic, and SQL for database-level work. In every case the cleaning steps are documented so they can be reapplied automatically when new data arrives — not just done once and forgotten.
Read our guide to what data cleansing is and why it matters for UK businesses — including the real cost of bad data.
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Anything not covered here — just ask us directly.
The most common signs are reports that produce different results depending on who runs them, formulas that break when data is updated, duplicate customers or records in your system, figures that do not reconcile between systems, and automation projects that fail because the data is inconsistent. If any of these sound familiar, a data audit will tell you exactly what needs fixing.
We use Power Query for Excel and Power BI data, Python with Pandas for large datasets and complex logic, and SQL for database-level cleansing. The right tool depends on where your data lives and the scale of the problem. We will tell you which approach makes sense for your situation during the scoping call.
Yes — Excel, CSV, SQL databases, Google Sheets, and exports from most common business software including Xero, Sage, Salesforce, and HubSpot. If the data is accessible digitally, it can be cleaned.
A one-time clean without fixing the process that created the bad data will accumulate problems again over time. We always recommend addressing the root cause — whether that is validation rules at the point of entry, integration between systems, or a structured data entry process — alongside the cleansing work itself.
A single dataset with straightforward issues is typically delivered in 2-5 working days. Larger, more complex cleansing projects involving multiple systems or significant reconciliation work take longer. We scope every project and give a fixed price before any work begins.
Yes — all work is delivered remotely. We work with businesses across the UK and internationally.
Book a free 30-minute call. We will look at your data, tell you exactly what the quality issues are, and give you a fixed price to fix them before any work begins.
Book your free scoping call →Delivered in 2-5 days · Full documentation included