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Big data analytics improves transparency and service delivery efficiency.
FREMONT, CA: Most States and governments are working on ways to use new technologies to improve services for citizens, do government work more efficiently, and bring in more money for the government. "Big data analytics" is among the numerous critical new technologies affecting the government and business.
The big data analytics application is an integrated business intelligence and data analytics system that uses both traditional data and big data. The government-wide analytical engine gets information from databases in different government departments, the internet, social media, sensors, machine logs, and other places. This means that the amount of transaction data per day in e-government is increasing, which calls for big data analytics. Analytical engines change data and show it in a way that can be analyzed.
Market Research says that 75 percent of big data is helping government agencies improve the lives of their citizens.
Big data analysis can provide insights into how government schemes and policies are working and why (descriptive and decisive analysis). It helps figure out what might happen in the future and suggests the best course of action (Predictive and Prescriptive Analysis) find out how people feel and what they think about government policies.
Big data can be structured or unstructured. Structured data is usually kept in legacy systems or data warehouses. It includes property tax, building permits, criminal records, and car records. Unstructured data includes social media, email, videos, pictures, etc.
Big data enablers of the government are:
Insight: Big data analytics enables the use of an endless quantity of data to comprehend public sentiment and enhance governance. The structured data analysis from newspapers, blogs, social media, news channels, emails, reports, satellites, etc. The insights given by big data analytics allow the government to foresee the future and prepare necessary interventions or mid-course corrections in all societally significant sectors, such as healthcare, education, welfare, and urban/rural development and infrastructure.
Timeliness: Utilizing data analytics permits the government to be "proactive" rather than "reactive" in terms of timeliness. The government can deliver prompt and agile responses to opportunities, risks, and challenges. Using traditional data may be beneficial in identifying these risks and possibilities, however, obtaining, cleaning, standardizing, and evaluating this data will take considerable time.
Breadth: Provides a unified view of numerous data sources, including People, Entities, Land, etc. Combining traditional data with big data on a single platform can yield a 360-degree analytical perspective.