Challenge: For a big “reveal” at a key event, the nonprofit organization required a data-driven AWS partner that could help streamline development of its peacebuilding platform and integrate all back-end and front-end technologies.
Solution: Employing agile methodology and implementing a number of AWS capabilities on a streamlined basis, the solution supported the nonprofit in developing a minimum viable product (MVP) to demonstrate to beta testers and key stakeholders.
The nonprofit was able to demonstrate the application that provided:
The nonprofit organization works to reduce violent conflict and accelerate peacebuilding efforts through technology, media and data. It brings together engineers and activists, MBAs and conflict experts, social scientists, data scientists and other innovators to develop effective peacebuilding solutions.
The nonprofit peacebuilding organization needed to create an MVP in a short period of time to showcase at a key public event. The idea was to make it available to critical beta users who could test important concepts of the product and gain insight into what would drive them to purchase it. The organization set up a dummy demo, and asked volunteers to create some back-end services and user experience (UX) and user interface (UI) mockups.
The key technology was a machine learning (ML) model that ran in the background. The nonprofit needed this to be evaluated and woven together into a live, usable application.
Much of the back-end work and UI ended up being unusable, and had to be recreated during the engagement.
Technical challenges inclued defining the scope, designing the UI (see Figure 1) and developing an interactive web application showing real-time data so that the product could be beta tested in six weeks.
The Cloud Advisory Services team was selected based on its deep experience with AWS, as well as its seasoned application of an “agile methodology,” including story mapping, sprint planning, daily scrum meetings, retrospecting and demos. In addition, focuses on data-driven applications and data lake architecture were key criteria (see FIgure 2). The solution:
The solution team used various AWS services as shown in Table 1.
The architecture was updated to answer the nonprofit’s challenges, as shown in Figure 3.
The purpose of the MVP was to offer a beta test to a particular customer of the nonprofit organization. Working with the Cloud Advisory Services team, the organization was able was able to achieve the primary goal of the project: to demonstrate and provide the application to beta users at an important public event, and ensure that the application was ready for key stakeholders to use and provide validated learning.
The business benefits and services offered by the AWS web applications are:
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