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Connect (computer System)
Connect is a new social network analysis software data mining computer system developed by HMRC (UK) that cross-references business's and people's tax records with other databases to establish fraudulent or undisclosed (misdirected) activity. History HMRC introduced Connect in the summer of 2010; it was not fully functioning. Around 350 HMRC employees are involved with Connect, who work with an ''analytical compliance environment''. Connect was developed by BAE Systems Applied Intelligence (former Detica in Surrey) for £45m. From September 2016, Connect has interfaced with financial information from British Overseas Territories; these have been known tax havens. From 2017 Connect has interfaced with around sixty other OECD countries. Sources of information Connect cross-references information from many other UK government databases, including: * Adverts on the internet e.g. Rightmove and Zoopla * Bank accounts and pensions * Council tax * Credit and debit card transactions, goi ...
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Social Network Analysis Software
Social network analysis software (SNA software) is software which facilitates quantitative or qualitative analysis of social networks, by describing features of a network either through numerical or visual representation. Overview Networks can consist of anything from families, project teams, classrooms, sports teams, legislatures, nation-states, disease vectors, membership on networking websites like Twitter or Facebook, or even the Internet. Networks can consist of direct linkages between nodes or indirect linkages based upon shared attributes, shared attendance at events, or common affiliations. Network features can be at the level of individual nodes, dyads, triads, ties and/or edges, or the entire network. For example, node-level features can include network phenomena such as betweenness and centrality, or individual attributes such as age, sex, or income. SNA software generates these features from raw network data formatted in an edgelist, adjacency list, or adjacency ...
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Land Registry (United Kingdom)
His Majesty's Land Registry is a non-ministerial department of His Majesty's Government, created in 1862 to register the ownership of land and property in England and Wales. It reports to the Department for Business, Energy and Industrial Strategy. HM Land Registry is internally independent and receives no government funding; it charges fees for applications lodged by customers. The current Chief Land Registrar (and CEO) is Simon Hayes. The equivalent office in Scotland is the Registers of Scotland. Land and Property Services maintain records for Northern Ireland. Purpose HM Land Registry registers the ownership of property. It is one of the largest property databases in Europe. At the peak of the property boom in 2007, £1 million worth of property was processed every minute in England and Wales. Like land registration organisations in other countries, HM Land Registry guarantees title to registered estates and interests in land. It records the ownership rights of freehold pr ...
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Tax Information Exchange Agreement
Tax information exchange agreements (TIEA) provide for the exchange of information on request relating to a specific criminal or civil tax investigation or civil tax matters under investigation. A model TIEA was developed by the OECD Global Forum Working Group on Effective Exchange of Information. This exchange of information ''on request'' was supplemented by an ''automatic'' process on 29 October 2014. The automatic process is to be based on a Common Reporting Standard. Purposes Typically, a TIEA contains the following provisions: * It provides for exchange of information that is "foreseeably relevant" to the administration and enforcement of domestic tax laws on the Contracting Parties. * The information provided under TIEA is protected by confidentiality obligations. Disclosure can be made to courts or judicial forums only for the purpose of determination of the taxation matter in question. * Information requested may relate to a person who is not a resident of a Contracting Pa ...
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Government Secure Intranet
Government Secure Intranet (GSi) was a United Kingdom government wide area network, whose main purpose was to enable connected organisations to communicate electronically and securely at low protective marking levels. It was known for the '.gsi.gov.uk' family of domains for government email. Migration away from these domains began in 2019 and will be completed in 2023. History Use Many UK government organisations used the GSi to transfer files on a peer-to-peer (P2P) basis between similarly accredited networks. The network itself was open within the context of its accreditation – it imposed no restrictions on traffic types carried across the network, restrictions and policy control were left to the connecting departments. Email traffic in and out of the network was filtered by an external provider. Origin The concept of GSi was defined by the Cabinet Office, and was turned into practical reality by the Internet Special Products group of Cable & Wireless (then known as ...
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National Border Targeting Centre
The National Border Targeting Centre (NBTC) is a division and site of the Border Force Border Force (BF) is a law-enforcement command within the Home Office, responsible for frontline border control operations at air, sea and rail ports in the United Kingdom. The force was part of the now defunct UK Border Agency from its estab ... in the United Kingdom, that collates and processes data on people entering and leaving the UK. It is the information-processing site that keeps track of migration into the UK. It operates 24 hours a day. History It was opened on Thursday 11 March 2010 by the UK Border Agency (UKBA). The e-Borders systems had been launched in May 2009, with Project Semaphore running as a prototype from 2004. It replaced the Joint Border Operations Centre (JBOC) at Heathrow, a much smaller site. Structure The site is run by the Home Office. It has around 200 staff in Wythenshawe, Manchester. Function Passengers on flights Border control, entering and leaving the UK ...
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Mosaic (geodemography)
Mosaic is Experian’s system for geodemographic classification of households. It applies the principles of geodemography to consumer household and individual data collated from a number of government and commercial sources. The statistical development of the system was led by professor Richard Webber in association with Experian in the 1980s and it has been regularly refreshed and reclassified since then, each based on more recent data from national censuses and other sources. Since its initial development in the UK, the Mosaic brand name has also been used to market separate products which classify other national consumers including most of Western Europe, USA, selected Asian regions and Australia. The initial UK version was based at the postcode level, which would cover an average of 20 properties with the same code. More recent versions have been developed at the individual household level and offer more accurate classification based on specific characteristics of each househo ...
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Informal Economy
An informal economy (informal sector or grey economy) is the part of any economy that is neither taxed nor monitored by any form of government. Although the informal sector makes up a significant portion of the economies in developing countries, it is sometimes stigmatized as troublesome and unmanageable. However, the informal sector provides critical economic opportunities for the poor and has been expanding rapidly since the 1960s. Integrating the informal economy into the formal sector is an important policy challenge. In many cases, unlike the formal economy, activities of the informal economy are not included in a country's gross national product (GNP) or gross domestic product (GDP). However, Italy has included estimates of informal activity in their GDP calculations since 1987, which swells their GDP by an estimated 18% and in 2014, a number of European countries formally changed their GDP calculations to include prostitution and narcotics sales in their official GDP sta ...
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Multivariate Analysis
Multivariate statistics is a subdivision of statistics encompassing the simultaneous observation and analysis of more than one outcome variable. Multivariate statistics concerns understanding the different aims and background of each of the different forms of multivariate analysis, and how they relate to each other. The practical application of multivariate statistics to a particular problem may involve several types of univariate and multivariate analyses in order to understand the relationships between variables and their relevance to the problem being studied. In addition, multivariate statistics is concerned with multivariate probability distributions, in terms of both :*how these can be used to represent the distributions of observed data; :*how they can be used as part of statistical inference, particularly where several different quantities are of interest to the same analysis. Certain types of problems involving multivariate data, for example simple linear regression an ...
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Credit Score
A credit score is a numerical expression based on a level analysis of a person's credit files, to represent the creditworthiness of an individual. A credit score is primarily based on a credit report, information typically sourced from credit bureaus. Lenders, such as banks and credit card companies, use credit scores to evaluate the potential risk posed by lending money to consumers and to mitigate losses due to bad debt. Lenders use credit scores to determine who qualifies for a loan, at what interest rate, and what credit limits. Lenders also use credit scores to determine which customers are likely to bring in the most revenue. Credit scoring is not limited to banks. Other organizations, such as mobile phone companies, insurance companies, landlords, and government departments employ the same techniques. Digital finance companies such as online lenders also use alternative data sources to calculate the creditworthiness of borrowers. By country Australia In Australia, cre ...
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Predictive Analytics
Predictive analytics encompasses a variety of statistical techniques from data mining, predictive modeling, and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events. In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision-making for candidate transactions. The defining functional effect of these technical approaches is that predictive analytics provides a predictive score (probability) for each individual (customer, employee, healthcare patient, product SKU, vehicle, component, machine, or other organizational unit) in order to determine, inform, or influence organizational processes that pertain across large numbers of individuals, such as in marketing, credit risk assessment, fraud detecti ...
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SAS Institute
SAS Institute (or SAS, pronounced "sass") is an American multinational developer of analytics software based in Cary, North Carolina. SAS develops and markets a suite of analytics software ( also called SAS), which helps access, manage, analyze and report on data to aid in decision-making. The company is the world's largest privately held software business and its software is used by most of the Fortune 500. SAS Institute started as a project at North Carolina State University to create a statistical analysis system (hence the proper name, Statistical Analysis System) that was originally used primarily by agricultural departments at universities in the late 1960s. It became an independent, private business led by current CEO James Goodnight and three other project leaders from the university in 1976. SAS grew from $10 million in revenues in 1980 to $1.1 billion by 2000. In 1998 a larger proportion of these revenues were spent on research and development than at most other soft ...
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Benford's Law
Benford's law, also known as the Newcomb–Benford law, the law of anomalous numbers, or the first-digit law, is an observation that in many real-life sets of numerical data, the leading digit is likely to be small.Arno Berger and Theodore P. HillBenford's Law Strikes Back: No Simple Explanation in Sight for Mathematical Gem 2011. In sets that obey the law, the number 1 appears as the leading significant digit about 30% of the time, while 9 appears as the leading significant digit less than 5% of the time. If the digits were distributed uniformly, they would each occur about 11.1% of the time. Benford's law also makes predictions about the distribution of second digits, third digits, digit combinations, and so on. The graph to the right shows Benford's law for base 10, one of infinitely many cases of a generalized law regarding numbers expressed in arbitrary (integer) bases, which rules out the possibility that the phenomenon might be an artifact of the base-10 number syste ...
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