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Big Data and Analytics in Government: Current Status and Future Prospects
1. Big Data and Analytics in Government: Current Status and Future Prospects
The trend to migrate to Big Data technologies is driven by the need for additional information derivable from
analysis of all of electronic data available to a business. Electronic data is unstructured and typically available
via the Internet and other sources. Combined with the large volume of data collected by companies such as
major financial companies, telecom network operators, and the United States Federal Government
(“US Government”), this data represents a currently under-realized source of intelligence
information.
To realize the true potential to transform intelligence information from the huge amount of unstructured data,
government agencies cannot leverage traditional data management technologies and DB techniques in terms of
processing data. To understand patterns that exist in unstructured data, government agencies apply statistical
models to large quantities of unstructured data. Since government/public agencies have not traditionally had
enough human resources or computational capacity to manage and analyze all of their data, Big Data
tools/techniques are essential for government agencies to continue to operate.
This report focuses on Big Data from an ICT/telecom perspective in terms of support for the Government
sector. It includes analysis of potential issues and costs involved in migrating to Big Data technology.
Target Audience:
Big Data companies Governmental agencies Social network companies Telecom service providers Data
services and analytics companies Cloud and telecom infrastructure providers
table Of Contents:
introduction 3
big Data Overview 4
data Technology Trends 6
big Data Transition Challenges 10
risks And Issues 14
summary 18
Big Data and Analytics in Government: Current Status and Future Prospects
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Big Data and Analytics in Government: Current Status and Future Prospects