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
|Nº||Work Package||Start Month||End Month|
|2||Optimisation of the Plytix Analytics Tool||1||24|
|3||Demonstration of the Plytix Analytics Tool||1||24|
|4||Market Intelligence, Dissemination and Communication||1||24|
Work Package Objectives
|1||Project Management||Ensure 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.|
|2||Optimisation of the Plytix Analytics Tool||Optimise 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.|
|3||Demonstration of the Plytix Analytics Tool||Engaging with users, demonstrating the product, and documenting the performance of the Analytics tool in front of real users.|
|4||Market Intelligence, Dissemination and Communication||Development of communication and dissemination strategy; the identification of opportunities of target market segments; the creation of a final business model and commercialisation plan.|
|5||Ethics Requirements||Ensure the compliance with ethics and legal requirements.|
Schedule of relevant milestones
|⚠️||MS1||Data visualisation server *||M3|
|✅||MS3||Integrations to shop systems**||M20|
|✅||MS5||Plytix Analytics Demonstration||M24|
*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).