help desk software
 In Data Cleansing, Fuzzy Matching

trainsAs residents in one of the most developed parts of the world today, we often take a lot for granted, without giving a second thought to what makes those things possible. Take for instance Britain’s legendary railway services. By studying data from the past decade or so, one would undoubtedly agree that train services across the UK are generally well run and highly efficient.

More recent data tends to confirm that belief. Data compiled in a recent report commissioned by the director general of the Rail Delivery Group (RDG) shows that trains arrived on time 90% of the time in 2012-2013. It is such data that helps governments and consumer advocates assess whether tax payers are truly receiving the services that they are paying for.

Data offers a powerful tool for improving customer service – regardless of which sector (Public or Private) the service is being delivered.  And it is accurate and relevant data that really helps us determine whether customers are the ultimate beneficiaries of any satisfaction improvement initiatives conducted by government functionaries or private entrepreneurs.

Now, returning to our data-driven analysis of the British train services for a moment. A study carried out by another agency, the Office of Rail Regulation (ORR), drew a conclusion that a vast majority of the passengers riding on those trains had no idea of their right to compensation if they happened to be booked to travel on the 10% of trains (identified in the RDG study) that got delayed.

This is an interesting paradigm, where data from two separate entities could be used to provide two different conclusions about a public service. One indicates trains are overwhelmingly on time, while the other identifies a possible issue with another very important customer service variable.  As a matter of fact, the ORR data concludes that the traveling public (almost 74% of them) believed that operators of those trains weren’t doing enough to inform and educate the public about their compensation policies.

This issue highlights the need to have high-quality data compiled, collated and available at every level of the decision making process. And that’s exactly what WinPure Clean & Match seeks to do. This award-winning list cleaning, data de-duplication and data cleansing suite of software is a crucial ally when it comes to ensuring the integrity of key data that can be used when dealing with customer outreach initiatives.

One of the key pillars of ensuring high levels of customer satisfaction is by ensuring product and service beneficiaries are continually kept in the loop on major developments related to the targeted product/service. By using tools like WinPure, businesses can clean their mailing lists, spreadsheets, marketing databases or emails and contact lists to ensure that future outreach efforts are focused, accurate and targeted to the right constituency.

And with the use of powerful fuzzy matching logic, the tool not only removes duplications within a list, but also across two lists. As these tools are supported on commonly used platforms, including Windows XP-SP2 / 2003 / Vista / Windows 7 and Windows 8, businesses never have to worry about investing in high-end IT infrastructure to own and use them to their advantage.

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