A data workshop facilitator with strong communication skills, a knowledge of data analytics, problem-solving skills, a collaborative mindset, flexibility and adaptability, project management skills, and attention to detail will cover the workshop with the following agenda.

Workshop Agenda

Define Your Persona and their Problems / Opportunities: In order to create a successful data-driven approach, it is important to understand the persona of the customer you are trying to reach. This means defining their characteristics, needs, pain points, and opportunities for improvement. By understanding the customer's persona, facilitator will tailor your data-driven approach to address their specific needs and goals.

Define data driven value stories for customers: Data-driven value stories are narratives that communicate the value and benefits of a data-driven approach to the customer. By crafting compelling stories that demonstrate the potential impact of data-driven decision-making, you can help customers understand the value of your approach.

Define the “Big Idea” and Benefit: The “Big Idea” is the central concept behind your data-driven approach. It is the idea that will guide your data collection, analysis, and decision-making. By defining the “Big Idea,” you can articulate the benefits of your approach and demonstrate the value it can provide.

Visualize Your Persona's Future State Experience: To better understand the impact of your data-driven approach on your customers, it is important to visualize their future state experience. This means creating a vision of how the customer will interact with your product or service, and how it will benefit them.

Write the press release to “Work backwards”: Starting with the end result in mind and then working backward to define the steps necessary to achieve that result. By creating a press release that articulates the final outcome of your data-driven approach, you can identify the steps needed to make that outcome a reality.

Write “FAQs” to bring clarity to the “Big Idea”: Creating a list of frequently asked questions (FAQs) can help bring clarity to the “Big Idea” and address potential concerns or questions from stakeholders. By anticipating questions and providing clear answers, you can build support for your data-driven approach.

Identify the data consumption mechanisms: Define the tools and resources that will be used to collect, analyze, and visualize data. This could include dashboards, widgets, ad hoc analysis tools, and search capabilities.

Define the “Success criteria” for the program: Identify the metrics that will be used to measure the success of the data-driven program. By defining clear and measurable success criteria, you can track progress and make adjustments as needed.

Analyze the availability of the data sources for the “Big Idea”: Identify if the data that will be needed to support the “Big Idea” and assessing whether that data is available, accurate, and reliable.

Define the scope of “MVP” that can be delivered in 60 days: Identify the key features and capabilities that can be delivered in 60 days. This can help you establish a roadmap for your data-driven approach and build momentum for the program.

Define MVP “Challenges” and “Opportunities” from “People” and “Technology” perspective: Identify the potential obstacles and opportunities that may arise during the development and implementation of the MVP. This could include challenges related to people (such as lack of skills or resources) or technology (such as data quality or integration issues). By identifying these challenges and opportunities early on, you can develop strategies to overcome them and ensure the success of your data-driven approach.

The MVP will involve building data pipelines using relevant AWS Services like Amazon S3, Amazon EMR, AWS Glue, Amazon Redshift, Amazon Sagemaker.