One of the most important changes in the data protection legislation is coming into effect on 25th of May 2018. GDPR is designed to unify and strengthen data protection and data quality requirements. Thereby, it addresses several shortcomings of the existing legislation.
With respect to GDPR, there are several new rules that any company willing to do business in Europe should consider:
- Companies have to include data protection measures “by default”.
- Consumer’s access to data saved about them should be an easy process.
- It’s the consumer’s will have the “right to be forgotten”. This means that companies will have to delete personal data once there is no need to store it.
- Individuals will have the right to ask for the deletion of their data. Also, they will have the right to ask to have the erred data corrected.
Also, GDPR introduces new concepts like ‘Privacy by Default’ and ‘Privacy by Design’. Basically, it means that, by default, a business should store the least amount of personal data.
In order for an organization to comply with these requirements, data should be up-to-date, de-duplicated, and cleansed. If data is inaccurate, it should be either rectified or erased. The problem with these requirements is that, unfortunately, many companies still struggle with data quality.
How to Improve Data Quality?
Today, with our increased reliance on computers and smartphones, almost all companies that sell goods or services have to store, manage and process customer data.
Let’s consider a company that sells more than once to a customer. Or one that makes the sales through different channels. In both cases, multiple systems will store personal data. Moreover, these systems will store data in different formats.
These days, many businesses rely on fast online processes. As a result, they require the customers to enter the data by themselves. It is not uncommon for one to see incorrect or incomplete data saved into the database.
As another byproduct of digitization, companies rely on information scanned from paper forms. Even if scanning has made significant signs of progress in the last couple of years, handwritten text is still hard to recognize.
The traditional solution to these problems is the hiring of dedicated employees. But it is expensive and inefficient. Therefore, several enterprises started to use new approaches that help them deal with data of bad quality.
One of the most cost-effective and efficient methods to solve data quality issues is to make use of an API, aimed to integrate a data cleansing and data matching software within your existing applications.
GDPR legislates some new requirements regarding data security: minimize collection and storage of personal data, delete personal data when no longer necessary, restrict access to personal data, and secure data.
WinPure Clean & Match API helps you to comply with these requirements by providing an effective method that can be used to add advanced data cleansing and state of the art fuzzy duplicate search into your own custom applications. Featuring in-memory processing and multi-threading, the WinPure Clean & Match API provides a compact and efficient solution to the problems of data quality and data deduplication.
The WinPure Clean & Match API encapsulates multiple algorithms for detecting fuzzy, phonetic, miskeyed and abbreviated variations of data. Here are some of the most important benefits of using our product:
- Higher performance through parallel execution on 64-bit system
- No limits imposed on the size of data
- .Net 4.5 Framework, with sample code for Visual Basic and C# included
- Match-factor and score displayed in the results.
- Real-time Status updates during processing
Download the 30 days free trial of our world-class data cleansing and data matching API and see how this component solves the problems of data quality and duplication on any Windows-based system.