Configurable to a range of programme types, from hard science research to initiatives focused on societal change, CUBIC provides solutions to data management problems that many organisations have struggled with for years.
Common problems addressed by CUBIC include how to bring together data from different teams and research areas, how to ensure data stays clean, how to ensure there is only one master source of data, and how to ensure that data is available when and where it’s needed.
Using our systems, data from one area of work (for example, household poverty surveys) can be brought together and integrated with data from another area (for example, crop disease incidence research) to give teams new insight.
Data from countries can easily be combined – no more emailing Excel sheets – and programme managers can be sure that all teams are using the same clean data to provide a single source of truth. This allows programmes to more easily apply modern analytics techniques to their data.
We recognise that actually reviewing and analysing programme data is time intensive in itself. That’s why our systems include interactive dashboards that provide high-level overviews of the information.
Dashboards give teams instant access to the most commonly asked questions. Because they are interactive, teams can easily find and ask a range of different questions whenever they need to.
But researchers using CUBIC aren’t limited to preconfigured dashboards. If they want to explore the data in new ways, they can easily create their own visualisations using the software they know best.
We know that a one-size-fits-all approach to data management can’t work in the complex world of international sustainable development and research. So our teams work with each client to identify their specific needs and adjust CUBIC’s systems to answer them.
Our activities in this area include helping clients clean data, extracting data from different systems so that it can be accessed, and training staff in the use of CUBIC as a centralised data governance and analysis system.
