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Gov Business Review | Wednesday, January 11, 2023
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Big data analytics betters transparency and service delivery productivity.
FREMONT, CA: Most States and governments are operating on ways to utilize new technologies to enhance services for citizens, do government work more effectively, and convey more money to the government. "Big data analytics" is among the countless essential new technologies impacting the government and business.
The big data analytics application is an intermixed business intelligence and data analytics strategy that utilizes both conventional and big data. The government-wide analytical engine gets details from databases in various government branches, the internet, machine logs, social media, sensors, and other places. This indicates that the quantity of transaction data per day in e-government is growing, which wants big data analytics. Analytical engines alter data and display it in a way that can be explored.
Market Research states that 75% of big data allows government agencies to enhance the lives of their citizens.
Big data analysis can guide how government schemes and policies perform and why (descriptive & decisive analysis). It allows an understanding of what might take place in the future. It presents the best course of action (Predictive & Prescriptive Study) to decide how people feel and consider government policies.
Big data can be organized or unorganized. Organized data is generally kept in legacy systems or data warehouses. It possesses property tax, building permits, and criminal and car records. Unorganized data contains social media, email, videos, pictures, etc.
Big data catalysts of the government are:
Insight: Big data analytics allows an infinite quantity of data to understand public sentiment and improve governance. The structured data analysis from newspapers, social media, blogs, news channels, emails, reports, satellites, etc. The understandings provided by big data analytics let the government anticipate the future and prepare required interventions or mid-course modifications in all societally important sectors, like healthcare, welfare, education, and urban/rural development and infrastructure.
Timeliness: Using data analytics allows the government to be "proactive" instead of "reactive" in terms of timeliness. The government can provide fast and agile reactions to opportunities, risks, and disputes. Employing conventional data may be useful in determining these risks and possibilities. Yet, obtaining, cleaning, standardizing, and considering this data will take significant time.
Breadth: Gives a unified picture of multiple data sources, comprising People, Entities, Land, etc. Uniting traditional data with big data on a single platform can deliver a 360-degree analytical standpoint.
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