With all research projects data is a critical component. How this is presented and managed is central to the success of the project. This is why the data we provide is custom to each project and client.
Instead of focusing on developing visually impactful dashboards, we concentrate on delivering critical data that will give clients the control and confidence to conduct all the needed analysis in any package of choice.
In a virtual shelve research project, for instance, we could have any number of objectives, such as Shelf Stand-out, planogram optimisation, or pricing strategies. Making sense of the datais much simpler when it’s provided in a manner that fits a client’s process and normal workflow.
Providing the data as SPSS or others formats is easily managed and delivered.
In older virtual store systems, clients had to rely on data export at the end of a research project to then work out the numbers. Once the data export is done, it is then merged into the master data and then processed. This method is normal practice with clients and we are always asked the same.
However, this is not the most efficient method, as it means there is a lag for checking the data, especially on soft launches. Our virtual store reports allow clients to easily see what the top-line numbers all mean for a project and the impact of each concept change, or planogram layout, and even pricing strategy research.
With all these top-line numbers, it is easy to work out the impact of POG changes or any other parameter. The excel reports are produced using excel macros pulling the raw API data from our servers. The reports are not limited to Virtual Shelves, these can also be used with 2D and 3D concept testing or other custom-developed solutions as required by the Brand/Agency.
We take great care to guide our clients to make sure the real-time API is integrated correctly into their own surveying platform, such as Decipher or Confirmit for example.
This type of integration provides the greatest flexibility, as it maintains one data set that does not need to be merged post fieldwork.