By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics in sports industry
    Here’s How Data Analytics In Sports Is Changing The Game
    6 Min Read
    data analytics on nursing career
    Advances in Data Analytics Are Rapidly Transforming Nursing
    8 Min Read
    data analytics reveals the benefits of MBA
    Data Analytics Technology Proves Benefits of an MBA
    9 Min Read
    data-driven image seo
    Data Analytics Helps Marketers Substantially Boost Image SEO
    8 Min Read
    construction analytics
    5 Benefits of Analytics to Manage Commercial Construction
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Governmental IT: Analytics is not a dirty word
Share
Notification Show More
Latest News
data analytics in sports industry
Here’s How Data Analytics In Sports Is Changing The Game
Big Data
data analytics on nursing career
Advances in Data Analytics Are Rapidly Transforming Nursing
Analytics
data analytics reveals the benefits of MBA
Data Analytics Technology Proves Benefits of an MBA
Analytics
anti-spoofing tips
Anti-Spoofing is Crucial for Data-Driven Businesses
Security
ai in software development
3 AI-Based Strategies to Develop Software in Uncertain Times
Software
Aa
SmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Governmental IT: Analytics is not a dirty word
Data Mining

Governmental IT: Analytics is not a dirty word

TheodoreOmtzigt
Last updated: 2009/11/20 at 7:48 PM
TheodoreOmtzigt
4 Min Read
SHARE

Over at Smart Data Collective, Bill Cooper wrote a wonderful article on deep analytics. In particular, I liked his assessment on the resistance expressed by customers that can’t see the forest for the trees.

I’ve watched many government agencies balk at the idea of data mining and complex analytics. They are concerned about switching to a new data architecture and the potential risks involved in implementing a new solution or making a change in methodology.

Having been there, I do understand their concerns, but fear of change is what’s holding government agencies back from being able to fully leverage the data that already exists to effect change at the local, regional, state and national levels. Analytics are the key to lowering costs, increasing revenue and streamlining government programs.

More Read

cloud-centric companies using network relocation

Cloud-Centric Companies Discover Benefits & Pitfalls of Network Relocation

Optimizing Cost with DevOps on the Cloud
Cloud Technology is the Future of Medical Billing Software
Cloud Technology is Essential for Transitioning to Remote Teams
5 Ways to Streamline Your Business Data for Maximum Efficiency

In my own government experience and now, looking at it from the other side, I have come to believe that government clients need to think about data the way the world’s top corporations do. Like all federal agencies, these companies already had huge repositories of data that were never analyzed – never used to support decisions, plan strategies or take immediate actions. Once they began to treat …



Over at Smart Data Collective, Bill Cooper wrote a wonderful article on deep analytics. In particular, I liked his assessment on the resistance expressed by customers that can’t see the forest for the trees.

I’ve watched many government agencies balk at the idea of data mining and complex analytics. They are concerned about switching to a new data architecture and the potential risks involved in implementing a new solution or making a change in methodology.

Having been there, I do understand their concerns, but fear of change is what’s holding government agencies back from being able to fully leverage the data that already exists to effect change at the local, regional, state and national levels. Analytics are the key to lowering costs, increasing revenue and streamlining government programs.

In my own government experience and now, looking at it from the other side, I have come to believe that government clients need to think about data the way the world’s top corporations do. Like all federal agencies, these companies already had huge repositories of data that were never analyzed – never used to support decisions, plan strategies or take immediate actions. Once they began to treat that data as a corporate asset, they started to see real results. The best part is that leveraging these mountains of data does not require a “rip and replace” approach. Inserting a data warehousing/data mining or complex analytics capability into a SOA or cloud computing environment can be very low risk and even elegant in its implementation. The potential rewards are immense!

That’s what’s needed in the government sector. We need to view analytics not as a dirty word but as a secret weapon against fraud and other challenges impacting all areas of the government sector.

I am a big believer that the future of the cloud consists of federated systems for the simple reason that large data sets are captive to their storage devices. Federated systems makes service oriented architectures (SOA) a natural architecture pattern to collate information. The fact that Google Gears and Microsoft Azure exhibit SOA at different levels of abstraction is clear evidence of the power of SOA. Add coarse grain SOAs to these fine-grained patterns and you can support federation and scale internal IT systems even if the core runs in Gears or Azure.

Link to original post

TAGGED: cloud computing, microsoft azure, service oriented architectures
TheodoreOmtzigt November 20, 2009
Share this Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data analytics in sports industry
Here’s How Data Analytics In Sports Is Changing The Game
Big Data
data analytics on nursing career
Advances in Data Analytics Are Rapidly Transforming Nursing
Analytics
data analytics reveals the benefits of MBA
Data Analytics Technology Proves Benefits of an MBA
Analytics
anti-spoofing tips
Anti-Spoofing is Crucial for Data-Driven Businesses
Security

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

cloud-centric companies using network relocation
Cloud Computing

Cloud-Centric Companies Discover Benefits & Pitfalls of Network Relocation

5 Min Read
DevOps on cloud
Development

Optimizing Cost with DevOps on the Cloud

7 Min Read
cloud technology benefits for medical billing
Cloud Computing

Cloud Technology is the Future of Medical Billing Software

17 Min Read
benefits of cloud computing for remote teams
Cloud Computing

Cloud Technology is Essential for Transitioning to Remote Teams

8 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US

© 2008-23 SmartData Collective. All Rights Reserved.

Removed from reading list

Undo
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?