Data Cleansing Accelerator

Data Cleansed, Prepared for Insight and Innovation.

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What the package delivers.

Data Audit & Discovery

Customised Data Cleansing Strategy

Implementation of Data Cleansing

Effective Data Standardisation and Deduplication

Detailed Reporting and Communication

Detailed Documentation

Unlock the full potential of your data by eliminating errors, inconsistencies, and inaccuracies. Our expert team will perform a thorough assessment of your data sources, identify quality issues, and implement a customised data cleansing strategy. This package serves as an essential precursor to not only Business Intelligence (BI) or Artificial Intelligence (AI) projects but also to enhance the performance of other operational systems.

This package includes a comprehensive data quality assessment, a detailed cleansing plan, implementation of cleansing techniques, and robust documentation to ensure seamless knowledge transfer.

Who is this package ideal for?

Businesses with multiple data sources (e.g., CRM, ERP, spreadsheets, external databases) that require consolidation and cleaning.

Organisations looking to leverage data for better decision-making but lacking the internal expertise to perform comprehensive data cleansing.

Companies aiming to improve the quality and efficiency of their data for Business Intelligence or Artificial Intelligence projects.

Our approach and what to expect.

1. Discovery Meeting (schedule one here)

Are we the right fit?

2. Data Audit & Discovery

Conduct a thorough assessment of up to three data sources to identify inconsistencies, errors, and gaps, evaluating their size, format, and quality.

3. Development of Data Cleansing Strategy

Create a customised plan addressing data quality issues, outlining cleansing techniques, standardisation, deduplication, and root cause mitigation.

4. Implementation of Data Cleansing

Execute the cleansing strategy, applying correction techniques, standardising data formats, and removing duplicates while continuously monitoring data accuracy.

5. Communication of Data Issues

Maintain regular communication with the client, providing detailed reports on data quality issues and resolutions, and coordinating with software providers as needed.

6. Documentation

Document all processes, decisions, techniques, and data mappings to ensure seamless knowledge transfer and provide a reference for future data management.

7. Review and Feedback

Conduct a review meeting to gather client feedback on the data cleansing process, ensuring satisfaction and discussing any additional support or follow-up actions.

Optional Add-Ons

ETL Development

Building data extraction, transformation, and load pipelines to automate data cleansing and integration into a data warehouse.

Data Quality Monitoring

Implementation of ongoing data quality checks and monitoring tools to maintain high data standards.

Ongoing Data Governance Consulting

Support to establish best practices and maintain the integrity of your data systems.

Headquartered in Europe, Cleverbit Software is a prominent custom software development company, employing over 70 skilled professionals across the EU, UK and US. Specialising in custom software for business efficiency, we work with a diverse international clientele in various industries including banking and insurance, SaaS, and healthcare. Our commitment to solving problems and delivering solutions that work makes us a trusted partner with our clients.

Would you like to discuss anything software?

Here's our email:
[email protected]

Here's our phone:
+44 204 538 9855

or even easier,