Project Goal:
To help the client gain a deeper understanding of their customer base. This project can rely on a mix of client data and publicly available data to build customer profiles using clustering or segmentation models.

This will help with:

• Marketing targeting strategy
• Tailoring comms with customers
• Identifying new potential customer segments
• Personalising customer experience (within an app, a website, social channels or brick and mortar business location)
• Informing retention strategy and limit churn
• Inform marketing
• Developing a recommendation strategy

Project structure:

• Problem framing, market analysis and data collection
• Exploratory data analysis (EDA) and pre-processing (ETL): this will use traditional EDA techniques such as statistical analysis
• Modelling customer profiles and results validation: choice between a set list of clustering and segmentation models. Validate results using statistical measures or cross validation techniques
• Build a dashboard for the results using a BI solution (we can pick a specific solution)
• Deliver insights: build a narrative for the dashboard and present findings

Project Goal:
Reporting is a key management tool for any business. Many businesses could improve their reporting process by automating data ingestion and preprocessing.

This will help with:

• Cutting costs (less resources and time required to produce the reports)
• Frequent reporting and always in time for when insights are needed
• Minimising human error
• Standardise reporting
• Better privacy and security (data pipeline can be monitored, access to data and reports can be restricted)
• Delivering better reports and insights

Project structure:

• Problem framing, client brief and data collection
• Exploratory data analysis and pre-processing (ETL): this will use traditional EDA techniques such as statistical analysis
• Automation of the reporting using a python data pipeline structure with testing and validation
• Build a dashboard for the results using a BI solution (we can pick a specific solution)
• Deliver insights: build a narrative for the dashboard and present findings

Project Goal:
This project is targeted towards businesses considering migration to their data storage, reporting and maybe app to the cloud but haven’t made the move yet. The learners can audit client requirements in terms of technology infrastructure and come up with a lightweight tech stack design based on one of the major cloud providers (AWS, Azure or Google clouds). This design will also take into consideration, data privacy and security and monitoring and include a costing structure.

This will help with:

• Informing decision on cloud migration feasibility
• Providing clients with an initial blueprint that can help them start the migration process
• Informing clients on cost effectiveness of cloud migration
• Demystifying cloud architecture

Project structure:

• Problem framing (it will probably be based on a cloud architecture checklist)

Project Goal:

This project is targeted to businesses who are already established in the cloud but are looking to optimise the efficiency of the setup and cost.

This will help with:

• Reducing cloud setup cost
• Optimising cloud setup efficiency by ensuring best cloud tools or solutions are adopted
• Ensuring that best practices in data storage, privacy and security are adopted.

Project structure:

• TBD (will most likely be based on a cloud architecture checklist)