- Evidence – Government Big Data Strategies Deliver Big Savings for Human Services & Other Departments
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In my previous posting I have covered a perspective on Big Data and the benefits for Human Services organisations. Just recently the UK Policy Exchange Think Tank has published a comprehensive report titled “The Big Data Opportunity: Making government faster, smarter and more personal”, and discussing the many benefits offered to Public Sector by leveraging ...
Read More... - How Can Data Science Serve the Public Good?
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Over the course of four seminars, the Big Data for the Public Good series presented a rare opportunity for leading data science thinkers, innovators, and practitioners to explore how the field can serve the public interest. Presented by Code for America and sponsored by Greenplum, the series hosted Michal Migurski and Eric Rodenbeck of Stamen ...
Read More... - Why Big Data Analytics? And Why Agencies Need It Now?
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To improve citizen services and protect national interests, the federal government must be able to quickly and effectively analyze the enormous volumes of structured and unstructured data that it collects from sources around the globe. This data continues to grow at an astounding rate, which is compounded by the continuous advancement of technological collection capabilities ...
Read More... - Cloud, Big Data and Collaboration – The Benefit for Human Services
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It’s difficult to go anywhere today without a CCTV camera picking up your movement and storing these images for the future. Advancements in DNA and positive identification are such that crimes committed over 30 years ago are being solved as technology provides the means to identify the previously anonymous. Across the US and the diverse ...
Read More... - EMC Goes Social, Open and Agile With Big Data
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With technologies from EMC, government agencies can leverage Big Data to support all aspects of critical agency programs with predictive, real-time insight. EMC understands that the success of government agencies should not be limited by systems and platforms that are unable to handle significant data volumes, which are necessary to make informed, accurate and efficient ...
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