This blog post explores the state of data streaming for the public sector. The evolution of government digitalization, citizen expectations, and cybersecurity risks requires optimized end-to-end visibility into information, comfortable mobile apps, and integration with legacy platforms like mainframe in conjunction with pioneering technologies like social media. Data streaming provides consistency across all layers and allows integrating and correlating data in real-time at any scale. I look at public sector trends to explore how data streaming leverages Apache Kafka and to help as a business enabler, including customer stories from the US Department of Defense (DoD), NASA, Deutsche Bahn (German Railway), and others. A complete slide deck and on-demand video recording are included.
The public sector covers so many different areas. Examples include defense, law enforcement, national security, healthcare, public administration, police, judiciary, finance and tax, research, aerospace, agriculture, etc. Many of these terms and sectors overlap. Many of these use cases are applicable across many sectors.
Several disruptive trends impact innovation in the public sector to automate processes, provide a better experience for citizens, and strengthen cybersecurity defense tactics.
The two critical pillars across departments in the public sector are IT modernization and data-driven applications.
The research company Gartner identified the following technology trends for the government to accelerate the digital transformation as they prepare for post-digital government:
These trends differ not much from traditional companies in the private sector like banking or insurance. Data consistency across monolithic legacy infrastructure and cloud-native applications matters.
The public sector is often still very slow in innovation. Time-to-market is crucial. IT modernization requires up-to-date technologies and development principles. Data sharing across applications, departments, or states requires a data-driven enterprise architecture.
McKinsey & Company says “Government entities have created real-time pandemic dashboards, conducted geospatial mapping for drawing new public transportation routes, and analyzed public sentiment to inform economic recovery investment.
While many of these examples were born out of necessity, public-sector agencies are now embracing the impact that data-driven decision making can have on residents, employees, and other agencies. Embedding data and analytics at the core of operations can help optimize government resources by targeting them more effectively and enable civil servants to focus their efforts on activities that deliver the greatest results.”
AI and Machine Learning help with automation. Chatbots and other conversational AI improve the total experience of citizens and public sector employees.
Real-time data beats slow data in almost all use cases. No matter which agency or department you look at in the government and public sector:
Data streaming combines the power of real-time messaging at any scale with storage for true decoupling, data integration, and data correlation capabilities. Apache Kafka is the de facto standard for data streaming.
Check out the below links for a broad spectrum of examples and best practices. Additionally, here are a few new customer stories from the last months.
So much innovation is happening worldwide, even in the “slow” public sector. Automation and digitalization change how we search and buy products and services, communicate with partners and customers, provide hybrid shopping models, and more.
Most and more governments and non-profit organizations use a cloud-first approach to improve time-to-market, increase flexibility, and focus on business logic instead of operating IT infrastructure.
Here are a few customer stories from worldwide organizations in the public sector and government:
This blog post is just the starting point.
I wrote a blog series exploring why many governments and public infrastructure sectors leverage data streaming for various use cases. Learn about real-world deployments and different architectures for data streaming with Apache Kafka in the public sector:
Learn more about data streaming for the government and public sector in the following on-demand webinar recording, the related slide deck, and further resources, including pretty cool lightboard videos about use cases. I presented with my colleague and SME for the public sector and governments Will La Forest.
The video recording explores public sector trends and architectures for data streaming leveraging Apache Kafka and other modern and cloud-native technologies. The primary focus is the data streaming case studies. Check out our on-demand recording:
If you prefer learning from slides, check out the deck used for the above recording:
Fullscreen ModeThe state of data streaming for the public sector in 2023 is fascinating. New use cases and case studies come up every month. Mission-critical deployments at governments in the United States and Germany prove the maturity of data streaming concerning security and data privacy. The success stories prove better data governance across the entire organization, secure data collection and processing in real-time, data sharing and cross-agency partnerships with Open APIs for new business models, and many more scenarios.
We recorded lightboard videos showing the value of data streaming simply and effectively. These five-minute videos explore the business value of data streaming, related architectures, and customer stories. Stay tuned; I will update the links in the next few weeks and publish a separate blog post for each story and lightboard video.
And this is just the beginning. Every month, we will talk about the status of data streaming in a different industry. Manufacturing was the first. Financial services second, then retail, telcos, gaming, and so on…
Let’s connect on LinkedIn and discuss it! Join the data streaming community and stay informed about new blog posts by subscribing to my newsletter.
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