Verify-It
Passionate in the pursuit of data accuracy for now and the future
Start seeing the wood for the trees: how quality data can really make the difference
Verify-It is an automated Data Validation and Cleansing application designed to verify existing master data in bulk or new business Suppliers and Customers.
Our Bulk Data function validates UK B2B Supplier and Customer records for UK Registered Companies and Government Bodies, Addresses, VAT, Email, Phone and Bank, in just a few clicks.
All the hard work of implementing API's from different sources, building rules and a host of additional features, such as predefined reports, bulk rechecking of existing verified records along with an audit trail which tracks all the sequence of events and actions in chronological order has been done for you.
Other than the setup of users and roles there is no other configuration required to start using the application. All maintenance including upgrades and administration are handled by Verify-It, thereby negating the need for internal IT resource.
Why quality data matters
Building and maintaining supplier and customer relationships start with quality data.
Most organisations only react to invalid or bad data quality issues as and when they arise. This approach is inevitably time consuming and also risks creating additional problems when not communicated accross the business.
In so many cases the data owners and users recognize that quality issues exist but lack the tools to be able to address the root causes. The problem therefore only magnifies over time resulting in a myriad of different issues:
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Lack of consistency or standardisation of data
Inconsistent data formatting and presentation can lead to inaccurate insights from the available information, with higher chances of value being lost or drowned in data mounds. The presence of multiple copies of the same data across different business functionalities translates to data inconsistency. The same data being represented differently in different source systems within the same organisation is another reason for inconsistent data.
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Incomplete or incorrect data
Human error in data entry can lead to inaccuracies or incomplete entries within the master data. Such
missing data can lead to lost critical insights - be it for customers, markets, or business processes. This is a major hindrance for the business decision-support or decision-making systems.
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Duplication of data
Availability of multiple copies of data across business functionalities can often lead to duplication of information within the organisation. Data duplication, a common result of non-integrated systems for data collection, can lead to inaccurate insights and unreliable reporting.
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Outdated data