Work Packages

The PISPA Project is comprised of 5 work packages that are meant to take the PISPA project from start to successful finish.


Work Package Outline

Work PackageStart MonthEnd Month
1Project Management124
2Optimisation of the Plytix Analytics Tool124
3Demonstration of the Plytix Analytics Tool124
4Market Intelligence, Dissemination and Communication124
5Ethics Requirements124

Work Package Objectives

NoºWork PackageObjective
1Project ManagementEnsure efficient administrative execution of the project so that all knowledge is managed and disseminated correctly and coherently including technical, communication, reporting, task compliance and risk management.
2Optimisation of the Plytix Analytics ToolOptimise the tool technologically and for user experience and making necessary adjustments to the tool based on user need by engaging with users and collecting feedback through the project.
3Demonstration of the Plytix Analytics ToolEngaging with users, demonstrating the product, and documenting the performance of the Analytics tool in front of real users.
4Market Intelligence, Dissemination and CommunicationDevelopment of communication and dissemination strategy; the identification of opportunities of target market segments; the creation of a final business model and commercialisation plan.
5Ethics RequirementsEnsure the compliance with ethics and legal requirements.


Schedule of relevant milestones

TitleDue Date
⚠️MS1Data visualisation server *M3
MS2Interactive chartsM12
MS3Integrations to shop systems**M20
MS4Ghost productM24
MS5Plytix Analytics DemonstrationM24

*The Data Visualization Server milestone was delivered but not as a Data Visualization Server. We decided to opt for a more sustainable solution using API. This achieved the same results at reduced cost and with long-term benefits for the project. Between the time of writing the proposal and delivering the solution, technology had advanced sufficiently that the original proposal was obsolete.

**While the integrations to shop systems was delivered on time and functioning, we decided to scrap this solution by using a Google Analytics integration instead. Again, between the time of writing the proposal and delivering our final prototype, shop systems began adopting Google Analytics Enhanced Ecommerce as the main method for collecting product performance analytics. We achieved our original goal, plus now we are able to integrate with any shop system that is connected to Google Analytics (the vast majority).