Data quality solutions

Spot poor data

Data quality can decay as details change, but how can you tell just how strong your organisational data sets are?

Running a data quality assessment can help you discover the rules which define good data, seek out non-conforming items, and present reports clearly defining the steps that need to be taken to bring your data back in line with regulations like GDPR.

Automate the process

It is the era of big data. Manually seeking out poor-quality customer records within massive databases is understandably resource intensive.

However, using a system such as Aperture Data Studio to assess your data quality can help automatically tag those records which need work. It can also give you access to custom views that allow you to explore even the largest data sets while proactively identifying issues before they become a problem.

Find matching records

Changes of personal details, data entry errors or even cross-department registrations mean one consumer could have multiple records within your business. Safely merging these means making absolutely sure that they refer to the same customer.

This is where a data point like Experian’s ExPin comes in – it’s a unique identifier assigned to everyone in the UK, useful for consolidation and creating effective single customer views.

Run deep analysis

Validating your data is often the precursor to a major data migration project, so a tool which can both help perform analysis of your data and prepare it for migration can make things far easier.

Experian Aperture Data Studio is one option, offering end-to-end data quality management which puts migration in the hands of business users, not just IT.

Automate replacements

With the correct data sets at your disposal, cleansing and updating existing data can be an automatic and relatively simple process.

Data management software like Aperture Data Studio can ensure your data is collected, correctly formatted, and validated against widespread global data sources.

Follow your own rules

Your data is unique, and so is the way you store it. Using a tool like Aperture Data Studio can help you apply machine learning techniques to your data cleansing procedures, helping to recognise the way your business stores data to ensure nothing gets missed.

Profile and standardise data

Profiling enables you to assess the quality, accuracy and integrity of your information and records. Gaps and errors are highlighted to make sure you have all the data you need.

Standardising tools like Experian’s Contact Data Validation Solutions then help you quickly transform your data into a consistent format, ready for you to draw meaningful conclusions from it.

Cleanse, verify and enrich data

Checking data against reference sources, such as those offered by Experian, helps to ensure that your information is accurate, complete and in a valid format. This is particularly useful for verifying addresses, phone numbers and email addresses.

Enrichment services can then help fill gaps and resolve quality issues highlighted during data profiling.

Match data to individuals

A single customer view is a key component in bringing all your customer data into a single, easily accessible location.

A solution such as Experian ExPin can help ensure you’re dealing with the right customer. It assigns a fixed ID number to every individual or company in your records, then compares it with Experian’s own extensive records to allow you to match individuals with confidence.

Migrate to new systems

Traditional data migration strategies can be resource-intensive and fraught with peril. Eliminate the risk of leaving gaps in your data by choosing a proven data migration platform, such as that offered by Experian.

Our solution covers all stages of the data migration journey from migration scoping to post-migration assurance and archival, with zero administration overhead.