Executive Development Programme in Data Product Strategy Alignment
-- ViewingNowThe Executive Development Programme in Data Product Strategy Alignment is a certificate course designed to bridge the gap between business strategy and data product development. This programme emphasizes the importance of data-driven decision-making and how it can be used to create value and drive growth in today's digital economy.
2,250+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
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โข Data Product Strategy Development: Understanding the process of creating a successful data product strategy, including market analysis, customer needs assessment, and competitive positioning.
โข Data Product Design: Designing data products that meet customer needs and align with business objectives, covering user experience, data architecture, and analytics capabilities.
โข Data Governance and Management: Ensuring the quality, security, and compliance of data products, with a focus on data governance frameworks, data management best practices, and data privacy regulations.
โข Data Analytics and Business Intelligence: Utilizing data analytics and business intelligence tools and techniques to extract insights from data, inform decision-making, and drive business outcomes.
โข Data Product Marketing and Sales: Developing and executing marketing and sales strategies for data products, including target audience analysis, go-to-market planning, and sales enablement.
โข Data Product Lifecycle Management: Managing the entire lifecycle of data products, from ideation to sunset, including product roadmapping, resource allocation, and performance measurement.
โข Data Product Monetization: Maximizing the revenue potential of data products, exploring various monetization strategies, pricing models, and revenue streams.
โข Data Product Innovation and Differentiation: Staying ahead of the competition by continuously innovating and differentiating data products, incorporating emerging trends, technologies, and customer needs.
โข Cross-functional Collaboration and Leadership: Fostering collaboration and communication among cross-functional teams, including data scientists, engineers, product managers, and stakeholders, to drive successful data product strategy alignment.
โข Data Ethics and Responsibility: Ensuring the ethical use of data, addressing issues of bias, fairness, transparency, and accountability, and promoting responsible data practices in the organization.
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