06/04/2025 | Press release | Distributed by Public on 06/05/2025 08:59
Artificial Intelligence
4 June 2025
There has never been more data available than there is right now. The great thing about data, though, is that it can be shared and transformed into a common good.
This process is known as data dissemination-the act of distributing or making data accessible to others, whether within an organization, between institutions, or to the wider public.
From internal reports shared among teams to open government data portals available to citizens and businesses, data dissemination plays a crucial role in how we make decisions and solve problems.
However, what are the advantages of disseminating data in today's data-driven world? And with only 48% of high-value datasetsavailable as open data across OECD countries, what are the challenges holding progress back?
This blog explores these questions and highlights how Almawave is working to bridge the gap in data accessibility through its latest product launch, DataPortal.AI, ensuring that valuable information can be shared and utilized to drive better decision-making and boost economic growth to fuel new apps, research, and services.
Making data accessible comes with real, tangible benefits. It helps:
But perhaps most importantly, data dissemination transforms information into action. When key datasets are shared and effectively applied, they can create tangible value across a wide range of fields.
The benefits of accessible data reach into many critical areas:
While the benefits of sharing data are clear, putting it into practice is often more complicated. Many organizations and public bodies face similar obstacles when it comes to making their data truly accessible and usable. Some of the main issues include:
This results in a huge gap between the potential of public data and its real-world impact. Fixing these issues is key to unlocking the full value of information-and ensuring it can be used to improve services, policies, and outcomes across the board.
In the quest to overcome data dissemination challenges, several solutions are available-each with its own set of strengths and weaknesses. These tools and platforms aim to bridge the gap, but choosing the right one depends on specific needs and resources.
However,custom tools often come with high upfront costs, require ongoing development and maintenance, and can be complex to integrate with other systems. Additionally, they may lack interoperability with certain data formats or standards.
While they are cost-effective, these platforms can lack advanced features like intuitive data visualization or real-time updates. They also often require technical expertise for setup and maintenance, and may not be scalable for larger datasets.
They can however be expensive due to licensing fees, and their features may be too rigid for specific use cases. Additionally, they often come with limited customization, and may not perfectly align with an organization's needs.
Each of these options has a place depending on the organization's goals, resources, and the scale of the data they are working with. The key is to weigh the pros and cons carefully, considering the long-term benefits and potential challenges of each solution.
With over 50 use cases, over onemillion datasets and over onebillion data pointsmanaged all over the world, DataPortal.AI stands out among the solutions developed to tackle these challenges-thanks to its advanced functionalities, high interoperability, and extremely up-to-date and user-friendly UX experience. By treating structured data collected by public entities as a strategic resource, DataPortal.AI significantly increases its value and impact.
DataPortal.AI is the first platform of its kind to leverage generative AI for improving data accessibility and publication efficiency. The integrated conversational assistant is powered by Velvet, Almawave'sproprietary large language model, designed to enhance user interaction.
Born from Sister's 25+ years of experience in the industry, as the fourth generation of a product line (StatPortal, SPOD, StatKit), DataPortal.AI turns raw datasets into accessible and meaningful content with the goal of:
Thanks to its modular design, the platform can be used in a variety of contexts, such as:
In a landscape where data is abundant but often underutilized, this platform offers a practical, flexible, and future-ready approach to dissemination.
Modular, pick-and-choose structure
Thanks to a modular, pick-and-choose structure, organizations can tailor the platform to their specific needs-whether they're building an open data portal, internal observatory, or interactive dashboard. Each module is designed to integrate seamlessly, reducing the need for multiple tools and simplifying workflows.
The base module enables seamless data integration, an intuitive portal for searching and cataloging, data visualization, and interoperability with other platforms through APIs.
However, additional modules are available to further enhance the platform's capabilities. These include:
Easy-to-Use UX
User experience is at the core of the platform's design. The intuitive interface caters to both technical and non-technical users, simplifying the search, management, and sharing of information. The platform supports Progressive Web Apps (PWA) for seamless mobile access and is fully compliant with the latest accessibility standards.
Data visualization
The platform supports advanced data visualization, transforming raw numbers into clear, interactive insights. Whether you're monitoring environmental trends or publishing public reports, the platform helps make data not just available-but understandable.
Built on experience
With over 25 years of experience behind it, the solution is robust, scalable, and ready to evolve alongside the needs of public institutions, businesses, and anyone working to make data accessible and actionable.
New opportunities for economic development
By streamlining publication processes and ensuring data quality, DataPortal.AI not only improves service delivery but also enables new opportunities for economic development and public value creation.
Technological features
The platform is built as a modern, lightweight web application with a secure, scalable, and high-performing architecture designed for long-term reliability.
Contact us to explore how DataPortal.AI can support your goals