You already know that data is vitally important for the success of your business. But just having it isn’t enough. You need to keep your data in good shape at all times, so that it’s useful and doesn’t put your business at risk. You also need to be able to turn your data into practical information quickly and easily. We understand this can be challenging because there’s more data to deal with than ever before. But we’re here to support you. We have the tools, services and extra data to help you maintain high quality records that are accurate and complete. You can use this information to completely understand your customers and their relationship with you.
Auditing and assessing your data helps you make smarter business decisions based on facts, not instinct, win new customers and reduce risk.
Spot errors quickly
Learn more about your customers and their relationship with you
Format data to make it consistent
Turn raw data into smart business decisions
Add extra information to your own data
Identify multiple versions and link records
We have all the tools and services you need to spot mistakes, plug gaps and improve the quality of your data.
Review, improve and manage your data to get the most out it. Remove errors and duplications. Reduce manual entry by as much as 76% on loan and credit applications and lower the risk of errors.
Build a clearer picture of your customers with extra data. Quickly check your records are correct and improve the efficiency of your business processes.
Complete data quality, data governance and data migration projects, and more, quickly and efficiently.
A data quality audit is the process where an organisation examines its data for accuracy, completeness and consistency of formatting. The aim of a data quality audit is to improve the quality of the data by spotting and filling gaps, identifying and fixing mistakes and weeding out duplicate records. This process helps better inform an organisation’s decision-making processes.
Because the volume of data an organisation holds is vast, it cannot be audited manually. Rather, it is performed using sophisticated data management tools, including software, to assess the quality, accuracy and trustworthiness of a data set. The formatting of the data is standardised, and reference data used to cross check for errors and inaccuracies. The data can then be enriched with extra data to correct mistakes and fill gaps. Duplicate data can be removed, and records linked where it is useful and appropriate to do so.
A data quality assessment is an analysis of the results of a data audit. It will often include a judgement about the results of the data audit. For example, this might involve making a decision on whether the data is fit for the purposes the organisation uses it. It might also include a judgement about whether the data is vulnerable to security breaches and suggest possible action to improve it. The assessment can also include recommendations about how the data can best be used to inform business decisions.
Data quality assessments can be complex due to the large volume of information many organisations hold. It is commonly carried out by specialised data management companies with the necessary sophisticated tools, software, experience and services.
A data risk assessment is an analysis of where data is vulnerable or weak, and the potential damage this could cause an organisation in the future. For example, the assessment might identify that data security is weak enough to expose an organisation to risk. These risks include breaches, mismanagement or non-compliance to regulatory requirements.
Data profiling is important because it can help an organisation make the most of its data, for example, by using it to identify where it can reduce costs, streamline workflows, find new customers, identify opportunities, enhance its reputation and spot risks before they damage the business. In other words, data profiling helps decision makers understand their organisations batter.
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Data Validation Products
Make sure your contact details are valid
Improve your Customer Relationship Management Systems (CRMs)
Manage your customer contact strategy
Migrate your data quickly, with less risk