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Picture HMG's "data estate" in five years' time, when this will be as familiar a term as its property estate is now: government databases about their citizens are potentially the largest in the world, and large interconnected databases from the main departments like health, education, tax, employment and criminal justice will become huge assets, especially in these fiscally challenged times.
Making it clear that you will delete personal data that is, say, more than three months old will establish your business in consumers' minds as an organisation that isn't trying to amass as much personal information as possible just for the sake of it; this will also make a company's data estate easier to manage.
Let's take a look at three structural columns for designing and implementing your data estate.
A data estate is simply the infrastructure to help companies systematically manage all of their corporate data.
While there are many dimensions to building out a data estate, it's not as complicated as some might think.
So if your company is designing a data estate, it's important to apply this three-pronged approach.
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And they're doing so with data estates.
According to the latest data from estate agency Strutt & Parker, around 40% of those moving home in the six months to April 2013 were "at or near" retirement, and using the equity they have accumulated to buy a smaller property outright.
Traditionally, the more data real estate companies had in their arsenal, the better their competitive edge.
Big data provides estate agents with access to more information about the housing market than ever before.
Rackspace's own data center estate, although global, still tends to be deliberately focussed in countries where English is the first language.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com