Economists rely on accurate data of high quality to predict the state of health of any economy. And like the rest of the world, there are concerns that a housing-related “bubble” could destabilise the UK economy. These concerns exist because commentators believe the government’s “Help to Buy” scheme could pose a threat. The scheme is meant to help prospective UK homebuyers, who can otherwise afford a mortgage, but may be facing a challenge to put together an initial deposit for their homes.
The deputy Prime Minister, Nick Clegg, however recently suggested that if required, the program could easily be “pared” back if it is found that it poses an immediate threat to the economy. And because of the ominous “signals” that Bank Of England Governor Mark Carney has been giving about the perils of booming housing markets, no doubt based on internal data of high quality, “Help to Buy” is coming under renewed scrutiny.
Critics of the program point to the fact that, based on a longer-term need for the country, builders aren’t putting sufficient emphasis on building the required number of new homes, the likes of which are the primary focus of “Help to buy”.
The fact is that initiatives, such as the government’s “Help to buy” scheme, aren’t just linked to building new housing units. They also depend on data quality, especially when it comes to advising potential users of the scheme about their rights and obligations under the scheme. Similarly, data quality also plays a huge role with regards to government agencies, banks, mortgage providers and other lending institutions ensuring prompt and accurate communication between and amongst themselves, and with members of the mortgage-seeking public.
And there lies the data quality challenge. With huge contact lists, email addresses and mailing databases that would be needed for such an outreach effort, there is always the risk that the type of data required and its quality will be the weakest link. And because of incorrect data being used, the level of communication will suffer. Members of the public seeking “Help to buy” might not get the information needed, while poor data quality could cause complete inter-agency/institutional communication breakdown.
Thankfully, the creators of WinPure had the foresight to think about precisely such challenges. Using advanced data inspection algorithms, they developed a set of data purification tools that help businesses, private groups and governmental agencies cleanse their contact lists and email and mailing address repositories of bad or mismatching data. If a business or a government agency follows a business model that’s heavily dependent on such lists, WinPure can not only help to enhance the data quality of those lists, but it will also enable purging of redundant and duplicate records within the repositories.
Simple to use, and available on a wide range of platforms, including Windows XP-SP2 / 2003 / Vista / Windows 7 and Windows 8, WinPure does not require elaborate IT infrastructure or expensive server hardware to deliver users the high data quality they need to succeed.