Big Data Techniques Afford Valuable Insights into Government Data
Jinfo Blog
7th May 2014
By Andrew Lucas
Abstract
The methodologies and analytical techniques of big data are being applied to data collected by government, either directly by the state or by commercial organisations. There are issues of privacy and fears of "big brother" relating to the way government information is used. There are also questions about the quality of big data and whether it can replace more traditional data gathering by the state. Author Andrew Lucas also highlights how information professionals can make the most of this opportunity.
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The age of big data has unlocked a seemingly vast potential to make use of datasets to gain new insights and opportunities.
Driven initially by the web giants such as Google and Amazon, big data techniques have also been applied to customer data by the bricks and mortar companies, including Tesco in the UK and Walmart in the US.
Analysing State Data Leads to Valuable Insights
Big data techniques and analysis are also being applied to data collected by government in the public sphere to create valuable new insights in the areas such as public records, land & real estate data and weather data.
In the commercial world use of big data has been driven by the "digital exhaust" of commercial transactions and the ever growing "Internet of Things", but there is also a wealth of information collected by government for the purposes of public administration including:
- Company filings
- Crime fighting
- Health
- Land and property transactions
- Population/census records
- Taxation.
As governments cut back on their spending on some of the traditional data gathering methods, such as the American Community Survey and UK census, they are turning to big data to fill the information gaps.
Commercial organisations which make use of government data in their services, for example Dun & Bradstreet and The Weather Company are also making use of big data methodologies to combine datasets and to provide greater insights into the content.
Reliability and Ethics
There are some ethical issues relating to the use of big data by government.
Whistleblower Edward Snowden revealed that the National Security Agency (NSA) in the US and the Government Communication Headquarters (GCHQ) in the UK make use of big data to monitor web traffic. Citizens may also object to the commercial use of data gathered by the state.
Questions have also been raised about the reliability of some of the claims for big data in the public sphere. Google Flu Trends, which tracks the spread of flu across the world, was held up as the exemplar of how big data can provide quicker and cheaper outcomes, but the accuracy of the findings are now being re-examined.
Big Data and Information Professionals
So why is this important to information professionals? Big data presents an opportunity for information professionals to get involved from several angles:
- Understanding where big data is in use and how it can enhance research
- Which public sources and which vendors use big data - and how
- Acting as company advisers on how to collate and analyse the enterprise's own big data
- Providing guidance on big data and intellectual property
- Taking the lead in helping users to interact with big data and to turn it into actionable data.
Editor's Note
FreePint Subscribers can log in to read and share more in Andrew Lucas's article, Briefing: Public Data in the Context of Big Data.
Big Data in Action
The FreePint Topic Series: Big Data in Action ran from April to June 2013. Visit the Topic page to find out more and see the links to the published articles. You can still register your interest to receive a free copy of the FreePint Report: Buyer's Guide on Big Data published in June 2013.
We will be revisiting the subject of big data in a new FreePint Topic Series coming later in 2014, focusing on big data and information skills.
- Blog post title: Big Data Techniques Afford Valuable Insights into Government Data
- Link to this page
- View printable version
- Briefing: Public Data in the Context of Big Data
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