Quality

Data you can trust

All organisations need accurate, reliable and timely data to operate effectively. As well as being able to identify and clean what has already been created, our approach also considers the source of your data.

  • building deeper customer and service user relationships

  • boosting effectiveness of marketing and cross sales

  • improving service standards

By considering the needs of the people at the heart of the data as well as the technical processes, we look to address the source of your data quality challenges, and provide a long term solution, not just a temporary fix.

Improving your data

Our Data Analysts are skilled at identifying patterns of errors and inaccuracies. Incorporating a process review to understand the source of the data, they can advise improvements to data management that can help gather better quality data from the start.

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DATA STORY: IMPROVING DATA CAPTURE

Our client required their staff to fill in forms after each interaction with customers, but found that errors and gaps were limiting the value of the reporting. Our people-based review considered the time-pressured and remote context in which this data was being gathered, and advised on improvements to the forms. Data categories were defined, free-text fields were replaced with drop-down lists and we identified simple improvements including training to help show the purpose and value.

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DATA STORY: AUTOMATED MONITORING

Manual data validation was a headache for many of our clients with errors often discovered late in the day when deadlines for reporting were imminent. Our Data Engineers have combined commonly available cloud-based tools, within frameworks including Microsoft Azure or Amazon Web Services, with rules based on their specific requirements to help dozens of organisations in sectors automate their monitoring process and receive timely alerts when data accuracy is compromised.

Maintaining and monitoring quality

Once you've achieved accurate and complete data, it’s important to prevent a drift in quality. Our data engineers can automate your process to spot possible problems and alert you to them long before they start to cause issues.

Digital transformation

Upgrading tools to maintain strong performance is key for many businesses. Legacy systems can have outdated information and errors long since forgotten about. Without asssessing and rectifying any data quality issues, you're risking business decision being made on poor quality data.

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DATA STORY: MANAGING CHANGE

As a well established business, our client had a customer database with many years of information. Processes and staff had changed, and the data was messy and hard to use. With a new CRM system selected, their challenge was getting an accurate and clean database across into the new tool while maintaining data integrity. We extracted data, identified and rectified errors and ensured the data imported into their new tool was clean and compliant. Knowledge transfer sessions built skills inside the organisation to ensure ongoing data management.

People-focused Data Quality Audit

We realise that not many people get excited by the idea of an audit – but we guarantee to make it enjoyable! We run people-focused Data Quality Audits in a friendly and relaxed way to identify and resolve any challenges you are facing when gathering data, monitoring consistency or documenting processes. Our aim is to create a positive culture around data quality and address any technical and architecture challenges.

Contact us to talk through how a Data Quality Audit could help you identify and resolve your data challenges