Mobile App Usage Pattern Analysis

Land and Sea Software Corp is seeking to understand user interaction with their mobile app platform by analyzing existing data to uncover usage patterns. The company has been collecting comprehensive data, including screen views and key strokes, but lacks the resources to process and interpret this information effectively. The goal of this project is to enable a team of learners to apply their data analysis skills to extract meaningful insights from the raw data. By identifying trends and patterns in user behavior, the project aims to provide actionable recommendations for enhancing user experience and optimizing app functionality. This project offers learners the opportunity to apply classroom knowledge in data mining and analytics to a real-world scenario, while contributing valuable insights to the company.

Automated Firebase Log Management with Google Cloud Functions

Land and Sea Software Corp is seeking to streamline its log management process by leveraging Google Cloud technologies. The primary objective of this project is to build a Google Cloud Function that automates the transfer of log entries from Firebase to Google BigQuery on a daily basis. Additionally, the function should purge records older than 30 days from the Firebase log file to ensure efficient storage management. This project will allow learners to apply their knowledge of cloud computing, serverless functions, and database management in a real-world scenario. The tasks are closely related and can be completed by a team of learners specializing in cloud computing and software development within an 80-hour timeframe. Key points: - Automate daily transfer of Firebase log entries to Google BigQuery. - Purge log records older than 30 days from Firebase. - Apply classroom knowledge of cloud computing and serverless functions. - Manage and optimize log storage.

Customizing the user experience through data

Land and Sea Software has created a unique content management platform that is used to publish content in the form of guidebooks and map driven point of interest information in real-time. Our platform is unique because we couple a robust Google Cloud based back end with highly configurable no-code mobile apps that permit publishers of traditional printed materials to establish a digital footprint quickly and without incurring large development expenses. We are currently logging user interactions and collecting large quantities of data through the mobile apps but we are not producing meaningful analysis due to the inherent limitations of our current technology stack which has Google Firebase Real-time data at the core. The project will develop in phases. Phase 1 evaluate various options for data management to arrive at a recommendation that will meet our current and future needs. The evaluation should include a SWOT and cost analysis for at least the top three candidates. Participants will be expected to present their conclusions and recommendations. Phase 2 create a programmatic framework that is compatible with our existing technology stack to produce an interface that will allow a non-technical user to decide what data is to be saved, how long it is to be saved and the location(s) to which it will be saved. Phase 3 create a programmatic framework and an interface that will permit a non-technical user to construct robust queries to identify the behaviour of individual users (recency, frequency and duration of usage) the behaviour of groups of users (recency, frequency and duration), which app features are most popular, which content is most popular, Impressions and click through for ads, etc. Phase 4 Develop a dashboard to produce and deliver reports to users based on their sets of queries. The ultimate goal of this work will be the creation of materials customized to a guide book users specific needs.