Today’s digital enterprises are on a tight race to gain market competitiveness using data-driven approach to product development. But using data as a product strategy requires careful assessment guided by the principles that help enterprises mitigate risks and deliver value to the customers. Exploiting AI, GenAI, ML, NLP like technologies needs new skills for the product owners right from the conception to release phases of the PDLC.
The workshop Data Product Owner is exclusively designed to meet such demands of today’s product owners. The workshop covers both strategic and tactical topics that help product owners to understand the concepts, apply techniques and master product management traits.=
The workshop is delivered by a highly experienced consultant who worked directly with some of the industry leaders customers like Microsoft, Dell, Cisco, Infosys, IBM and various product companies.
- Duration – 8 Hours per day
- 3 days (24 Hours)
Workshop Outline:
Introduction and Fundamentals
Session 1 : Role of a Data Product Owner
- The Data Deluge
- Role of data in today’s digital era
- What is a Data Product?
- Difference between a Data Product and Traditional Product
- New responsibilities and skills of the Product Owner
- Impact of AI, GenAI, LLMs, ML, NLP on the product strategy
- Data Product development Challenges:
- Data Bias
- Data Privacy
- Data Governance
- AI Ethics
- Scalable Architecture
- Continuous Development
- Group discussion
Session 2: Understanding Data Products
- Data-driven approach to product development
- Typical data-driven product development life cycle
- Data product value proposition
- Developing data-driven strategy for your products
- Data products use cases:
- Recommender systems
- Supply-chain optimization
- Customer support
- Smart Assistants
- Content platforms
- Cloud based platforms
Design Thinking and Agile Scrum
Session 1: Design Thinking Process
- Why Design Thinking?
- Design Thinking Process
- Applying Design Thinking techniques to data products
- Hands-on exercises in Design Thinking
- Industry case studies on Design Thinking
- Microsoft
- Apple
- Netflix
Session 2 : Agile Methodologies in Data Product Management
- Basics of Agile and Scrum approach
- Applying Agile principles to data products
- Techniques for gathering requirements
- Defining data product OKRs
- Best practices for data-driven MVP
- Group exercise on writing user stories for a sample data product
- Group discussion
Advanced Topics
Session 1: Data Product Management
- Using Data Analytics, Machine Learning and AI for developing data products
- Mitigating risks
- AI Explainability & AI Observability concepts
- Performance metrics for Data products
- Product Management Team structure
- Product Owner
- Product Strategist
- Product Analyst
- Product Collaborator
- Deploying and Managing Data Products on Cloud platforms
Session 2: Case Studies
- Competitive analysis of data products
- Microsoft
- Amazon
- Customer Case Studies
- Group Discussions
- Review and Feedback
- Next steps
- Course closure
Contact Quint
Address
C-91, 92 3rd Floor, Sector 2, Noida, Uttar Pradesh 201301
info@quintconsultingservices.com
Phone
+91 98 1885 5635
