Data Cleansing Services: Turn Records Into a Valuable Business Asset

The cost of our data cleaning services starts at $50 per hour. For small projects, the price starts at $100, and for large data sets, we provide an individual quote. The final amount depends on the volume of information, the complexity of the sources, and the type of errors that need to be corrected.

Before starting work, we conduct an audit: we assess the structure of the arrays, the level of contamination, and quality requirements. Based on this analysis, we provide a transparent calculation — per record, per package, or per project, depending on which format is most convenient for your company.

Outsourcing data cleaning is significantly more cost-effective than maintaining your own team of analysts. Our services are on average 25% cheaper than hiring full-time specialists or freelancers. In addition, you do not spend money and time on recruiting or training current specialists, social packages, and personnel management.

We provide transparent cost calculations — hourly, per data volume, or per project — and take full responsibility for the result.

The duration of a data cleansing project depends on the volume of information, the number of sources, and the nature of errors in the arrays.

• Small tasks covering several thousand records in well-structured tables are usually completed within 2–5 days.
• Medium-sized projects, where data comes from multiple systems and requires reconciliation of different formats, take approximately 1–3 weeks.
• Large corporate arrays involving millions of records or complex repositories such as SQL or Data Lake can take 1–2 months, especially if cleaning is part of migration or building an analytical platform. 

Before starting work, we conduct an audit: we analyse the data structure, identify typical errors and assess quality requirements.

Yes, we ensure transparent communication throughout the entire data cleansing process. Clients receive regular updates on task status, key milestones, and interim results. If necessary, we can set up integration with dashboards that display progress in real time. This allows you to monitor the quality of work, make timely adjustments, and be confident that the project is moving according to the agreed schedule.

We evaluate the return on investment in data cleansing through specific business metrics.

• First, it reduces the cost of processing information and the time employees spend working with incorrect data.
• Second, we measure the increase in analytical accuracy, which directly affects financial results — from revenue growth to risk reduction.

The success of the project is also determined by the quality of management decisions: clean data allows you to launch campaigns faster, forecast demand more accurately, and avoid reporting errors.

For each client, we develop a set of metrics — from budget savings to increased team productivity.

We use a combined approach that combines automated tools and manual expertise. Automation allows us to quickly process large amounts of data, identify duplicates, incorrect formats, and typical errors. At the same time, manual verification is necessary for complex cases where context, business logic, or source specifics must be taken into account.

This approach strikes a balance between speed and quality: routine tasks are performed automatically, while our specialists monitor critical stages.

Yes, our data cleansing processes fully comply with international information security standards, including GDPR, CCPA, and HIPAA. We adhere to the principles of confidentiality and security at every stage of our work: from source auditing to results delivery. All operations are performed in accordance with the requirements for minimizing access, transparency, and control over personal data.