From Scattered Information to Shared Understanding: Why Zambia Needs a Data Platform Built for the Questions Its People and Institutions Are Already Asking

Tenet Technology was created from a simple observation. Zambia produces and holds a large amount of data, but having data is not the same as being able to use it well. Information is often spread across institutions, reports, datasets, systems and individual projects. Some of it is difficult to find. Some of it is difficult to compare. Some of it is collected for one purpose and then becomes difficult to use for another [11], [12]. Research on information systems in Zambia has also shown that formal systems are only one part of the information people use when making decisions [1].

This matters because the value of data comes from its use. A university student looking for evidence for a dissertation, a researcher trying to understand a local trend, a business assessing a market, or an institution planning a programme may all need information that exists somewhere but is not easy to locate, understand or work with. Across African research systems, fragmented datasets, limited data management capacity and incompatible practices have been identified as persistent barriers to making data useful [2], [13], [14].

Zambia is not starting from nothing. Government institutions, universities, researchers, development organisations and private organisations already collect and publish substantial amounts of information. National statistical programmes provide important population, economic and social statistics [19], [20]. Government departments maintain administrative records. Universities generate research data. Businesses generate operational and market data. There are also open data initiatives and growing efforts to make public and administrative data more useful for research and policy [3], [4], [15], [18].

The problem is therefore not simply a lack of data. It is also a problem of access, organisation, consistency, context and use. Research in Zambia has shown how information used in decision-making can come from formal information systems as well as meetings, observation, experience, consultation and other channels [1]. Research on Southern African academic institutions similarly indicates that research data management services are still developing, with uneven institutional readiness and limited formal infrastructure [5], [16].

This is part of a wider African challenge. Studies of open science in Africa have described data and research systems that often operate in silos, with datasets and practices that are not always interoperable [2], [13], [14]. Work on African health systems has also highlighted the underuse of available data because information can be fragmented, complex, difficult to manage and constrained by analytical capacity [6], [17]. These are not problems that can be solved simply by putting more files online. Data has to be made useful.

Tenet is being built as a data and research platform centred on Zambia. We collect, organise and work with data that can help people understand the country and make better decisions. This includes datasets we collect ourselves as well as relevant public and institutional data that can be brought together, documented and made easier to work with.

The platform is designed around practical use. A student should be able to find data for a research project. A researcher should be able to consult relevant datasets and supporting information without beginning every project from the same point. A business should be able to approach Tenet when it needs data analysis or consultation. A public or private institution should be able to work with us when its internal data needs to be organised, analysed or used to improve how its systems operate. An individual should also be able to use the platform to learn more about Zambia through data.

This means Tenet is not only a place for downloading datasets. The work also involves understanding where data comes from, how it has been collected, what it represents, how it can be combined with other information, and what questions it can reasonably answer. Where appropriate, the platform can support visualisation, analysis, consultation and the development of data workflows. The intention is to reduce the distance between data and the person who needs to use it.

One part of Tenet's work is institutional. Many organisations already have useful data but do not necessarily have the systems, processes or analytical capacity needed to turn that data into a working resource. Tenet works towards helping institutions organise their information and use it more effectively.

This can involve bringing institutional datasets into structured systems, improving how information is stored and accessed, developing analytical workflows, and helping organisations understand what their data can tell them. The objective is not to replace the systems that institutions already use. It is to make those systems more useful and more connected to the decisions they support. Evidence from Zambia has long suggested that information systems need to be understood within the wider organisational environment rather than as isolated technical tools [1].

We also see Tenet as part of the research and learning environment. Universities and researchers need access to local evidence. Students need practical ways to work with real data. Businesses need reliable information when assessing opportunities and making decisions. Public and private institutions need evidence for planning, monitoring and evaluation. Individuals need accessible ways to understand the country around them.

Tenet brings these needs into one platform. The aim is to make local data easier to discover and easier to use, while also creating a place where data-related questions can lead to consultation and analytical work. In this sense, the platform is both a resource and a working environment. It is a place to find information, but also a place to work with that information.

Artificial intelligence will be part of how Tenet works with data, but it is not the purpose of the platform. The purpose is to make data useful. AI can help make parts of that process faster and more scalable. It can support tasks such as classification, extraction, pattern detection, forecasting, summarisation and other forms of analysis where the underlying data and method are appropriate.

This distinction matters. AI systems depend on the quality of the data used to build, test and evaluate them. Recent work on AI in African contexts has emphasised the importance of reliable ground truth data and local context, particularly in areas such as health, agriculture and finance [7]. Research on AI and public services also points to the need for institutional capacity, appropriate governance and attention to bias and accountability [8]. Tenet therefore treats AI as part of an analysis workflow, with the data, method and human judgement remaining important.

There are already important efforts in Zambia to strengthen the country's data environment. Work has been undertaken to map administrative data within government and improve the foundations for evidence-based policy [3]. The Zambia Revenue Authority has established a Secure Data Lab to allow controlled research access to anonymised tax data [9]. Zambia's statistical community is also investing in data science capacity and evidence-based decision-making [10].

These efforts are important. Tenet is not being created on the assumption that nothing exists. It is being created because there is still room to connect parts of the data environment and make more of the information that already exists usable. The opportunity is to complement existing institutions and initiatives rather than duplicate them.

Tenet is being developed towards a broader data infrastructure for Zambia. The direction is to continue collecting and organising useful datasets, improve the ways people can consult and analyse them, and work with institutions that need better data systems. As the platform grows, we want more universities, researchers, students, businesses, public institutions and individuals to be able to use it.

The longer-term aim is not simply to have a large database. It is to build a working environment around data. Data should be collected with purpose, documented properly, made accessible where it can be, analysed carefully and connected to real questions. Institutions should be able to use their own information more effectively. Researchers should spend more time answering questions and less time searching for scattered evidence. Students should be able to learn from real local data. Businesses should have a place to seek data and analytical support.

That is the role Tenet is working towards. A platform where Zambia's data can be found, understood and used. A platform that supports research and learning, provides consultation, helps institutions become more data-driven, and uses modern analytical methods, including AI, where they add real value. The work starts with data, but the objective is better use of information.