CIOAdvisor Apac

  • Home
  • Vendors
  • News
  • Conference
  • Whitepapers
  • Newsletter
  • Subscribe
  • About Us
  • Specials

  • Menu
      • Ad Management
      • Application Security Testing
      • Artificial Intelligence
      • BPO
      • Contact Center
      • Data Analytics
      • Deep Learning
      • Digital Marketing
      • Digital Transformation
      • Disaster Recovery Services
      • Disinfection and Sanitization
      • E-Invoicing
      • Ecommerce
      • Govt Tech
      • HubSpot
      • Human Resource
      • ICT
      • IoT
      • Laser and Photonics
      • Leadership Development
      • Logistics
      • Machine Learning
      • Marketing Technology
      • Mobile Application
      • Parking Management
      • Payment And Card
      • SDN
      • Telecom
  • Digital Transformation
  • Logistics
  • IoT
  • Payment And Card
  • Artificial Intelligence
Specials
  • Specials

  • Ad Management
  • Application Security Testing
  • Artificial Intelligence
  • BPO
  • Contact Center
  • Data Analytics
  • Deep Learning
  • Digital Marketing
  • Digital Transformation
  • Disaster Recovery Services
  • Disinfection and Sanitization
  • E-Invoicing
  • Ecommerce
  • Govt Tech
  • HubSpot
  • Human Resource
  • ICT
  • IoT
  • Laser and Photonics
  • Leadership Development
  • Logistics
  • Machine Learning
  • Marketing Technology
  • Mobile Application
  • Parking Management
  • Payment And Card
  • SDN
  • Telecom
×
#

CIO Advisor APAC Weekly Brief

Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from CIO Advisor APAC

Subscribe

loading
  • Home
  • News
Editor's Pick (1 - 4 of 8)
left
Turning Big Data into Big Money

Shawn Paskevic, CIO, NEBCO

The Inherent necessity of Big Data as a defining strategic factor

Esteban Remecz, CIO Asia Pacific, ZF Group

Get Ready for an IT Renaissance: Brought to You by Big Data Analytics

Clark Golestani, EVP and CIO, Merck

Promise of Data Analytics

John Kochavatr, CIO & Digital Leader, GE Water & Process Technologies

Data Analytics: New Edge for Success

Colin Boyd, VP & CIO, Joy Global [NYSE:JOY]

How big data analytics guided our decision-making through a year like no other

Michael Coatsworth, Principal Architect, Foodstuffs North Island

Advanced Analytics in Tokopedia

Krishna Dermawan, Head of Data Analyst, Tokopedia

The Pursuit of a Culture That Is Driven By Data

Mike Congdon, Head of Business Insights, OfficeMax New Zealand

right

THANK YOU FOR SUBSCRIBING

How Government Agencies Overcome Big Data Analytics Challenges?

CIOAdvisor Apac | Monday, June 15, 2020
Tweet

When it comes to data analytics, even government agencies undergo difficulties and several challenges, both technical and managerial. A KPMG report that elucidates the development and maintenance of citizens' trust in data analytics reveals some astonishing facts about the same. It points out that citizens are likely to share sensitive information to the government if they are using analytics to provide better services.

Governments must first determine the type of data that is necessary for the operations. For analytical tasks such as constituent segmentation, measuring program effectiveness, only internal data may be required. But, for other tasks such as revenue projection, fraud detection, data from the external partners outside the agency is essential for maximum effectiveness.

In addition to the above, the quality and accessibility of the data is a critical challenge. Many government agencies have only legacy data storage in management platforms that were not meant to be utilized for modern, advanced data analytics. High scope for improvement exists for agencies to modernize their platforms and do so with their cloud-based tools. Stovepipe data systems that do not interact with each other are also another apparent challenge. The trend at present is to implement the integrated systems during significant modernization efforts or to construct bridges by using master data management tools to get a unified view of the citizens. Yet another gap that the agencies need to bridge is the skills gap. To bridge this gap, governments should invest more in hiring and training data scientists to analyze the collected data effectively.

Check Out: Top Data Analytics Solution Companies

Top 10 Data Analytics Companies in APAC 2020Use of Big Data Analysis by Government Agencies:

Government agencies work with a wide range of commercial partner firms that help in overcoming data analytics related challenges. These firms are mainly linked with government agencies to solve technical data management challenges. There are many types of data analytics tools that can determine who is who, who is acquainted with whom, and who has a family or business connections with whom. Tools that can evaluate these factors can help fight theft and establish relationships among different entities.

Tools that can visualize the data show charts and graphs on maps to initiate better understanding. Unstructured data analysis tools have the option to sift through video files, social media, IoT sensor readings, and other data sources to recognize those pieces of data that the agency is interested in or to dig deep into the process of working a case on a citizen or a business.

Cognitive analysis based on AI will assist government agencies by providing advanced analytics for both structured and unstructured data. It functions based on ML and intelligence that becomes much smarter by using frequently.

State and the local governments have innumerable opportunities to apply data analytics to enhance the lives of the citizens they serve. Nevertheless, these institutions are also presented with challenges while utilizing such tools for the analysis of data. By tackling the obstacles, optimal efficiency can be derived from these applications, and full use of big data can be made.

See also: 

Top Artificial Intelligence Companies

 Top Big Data Analytics Companies

tag

Data Management

Storage

Sensor

Cognitive

Fraud

Featured Vendors

  • MVI Technologies: Innovative, Future-proof Financial and Payment Switching
    MVI Technologies: Innovative, Future-proof Financial and Payment Switching
  • DATAMARK: Process Driven Solutions in Action
    DATAMARK: Process Driven Solutions in Action
  • IMACREA: Shaping the Future of Teleworking
    IMACREA: Shaping the Future of Teleworking
  • PuzzleBox BPO, Inc.: A Hybrid Platform for Customer Support and Sales Empowerment
    PuzzleBox BPO, Inc.: A Hybrid Platform for Customer Support and Sales Empowerment
ON THE DECK

Read Also

Safeguarding Quality through Proactive Risk Management

Cultivating a Culture of Agility: Nurturing Adaptability for Organizational Success

Governance for Smarter KPIs: Enhancing Performance Measurement

Embracing the Irreplaceable Human in Business and Beyond

Leveraging Gamification for Deeper Financial Engagement

Generative AI: The Game-Changer Automates Marketing For The Retail Industry

Loading...

I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info

Copyright © 2025 CIO Advisorapac. All rights reserved. Registration on or use of this site constitutes acceptance of our Terms of Use and Privacy Policy |  Sitemap

follow on linkedinfollow on twitter
This content is copyright protected

However, if you would like to share the information in this article, you may use the link below:

https://www.cioadvisorapac.com/news/how-government-agencies-overcome-big-data-analytics-challenges--nwid-2160.html