Saving Money With Big Data – On The Federal and State Level
From the government offices, Federal IT officials say real-time analytics of big data can help reduce the federal budget by at least 10 percent annually, or about $1,200 per citizen, by detecting improper health care payments before they occur, according to the TechAmerica survey. If we can save that money, we can also save sickness and lives!
Yet, despite all the real and potential benefits of big data analytics, federal and state IT officials also cite several barriers to adoption, including privacy concerns, the expense of new tools, lack of clarity about big data’s return on investment, and the time it can take to extract queries from traditional databases in a timely manner. There are data podcasts which discuss this more deeply.
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