Executive Development Programme in Data Product Portfolio Management

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The Executive Development Programme in Data Product Portfolio Management is a certificate course designed to empower professionals with the necessary skills to manage data products effectively. In today's data-driven world, there is an increasing demand for experts who can leverage data to make informed business decisions.

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This course is essential for professionals looking to advance their careers in data product management. It provides a comprehensive understanding of data product development, management, and portfolio optimization. Learners will gain hands-on experience in using data analytics tools and techniques to drive business growth and innovation. The course covers essential topics such as data-driven product development, product analytics, data visualization, and portfolio management strategies. By the end of the course, learners will have a solid foundation in data product portfolio management, making them valuable assets in any organization. Investing in this course is a step towards staying relevant in the ever-evolving data landscape. It equips learners with the skills and knowledge needed to lead data product teams, drive business growth, and make informed decisions based on data insights.

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โ€ข Data Product Strategy: Developing a data product strategy that aligns with business goals and leverages data as a strategic asset.
โ€ข Data Product Development: Designing and developing data products, including data collection, processing, and analysis.
โ€ข Data Product Portfolio Management: Managing a portfolio of data products, including prioritization, roadmap development, and resource allocation.
โ€ข Data Product Marketing: Marketing data products to internal and external stakeholders, including positioning, messaging, and go-to-market strategies.
โ€ข Data Product Analytics: Measuring and analyzing the performance of data products, including key performance indicators and user feedback.
โ€ข Data Ethics and Governance: Ensuring data products are developed and used ethically and in compliance with relevant regulations and policies.
โ€ข Data Product Innovation: Staying up-to-date with the latest trends and technologies in data product development and exploring new opportunities for innovation.
โ€ข Data Product Leadership: Developing leadership skills to effectively lead data product teams and drive business results.
โ€ข Data Product Case Studies: Analyzing real-world examples of successful data product development and management to inform best practices.

่Œไธš้“่ทฏ

In this Executive Development Programme, we will focus on essential roles in Data Product Portfolio Management in the UK market. Here's a 3D pie chart showcasing the primary and secondary roles with their relevance in the industry: 1. **Data Product Manager**: A data product manager oversees the entire data product lifecycle, from conception to launch and maintenance. They ensure data products meet market needs and deliver value to the business. (75% relevance) 2. **Data Analyst**: Data analysts collect, process, and interpret complex data sets to provide actionable insights for businesses. They bridge the gap between raw data and business decision-makers. (60% relevance) 3. **Data Scientist**: Data scientists combine statistical expertise, machine learning, and programming skills to build predictive models and uncover insights from large datasets. (80% relevance) 4. **Business Intelligence Developer**: Business intelligence developers create and maintain data systems, tools, and reports to help businesses make informed decisions. (65% relevance) 5. **Data Engineer**: Data engineers build and maintain data architectures, pipelines, and processing systems to ensure data is available for analysis and decision-making. (70% relevance)

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EXECUTIVE DEVELOPMENT PROGRAMME IN DATA PRODUCT PORTFOLIO MANAGEMENT
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
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