What are the most effective ways to optimize your product lifecycle with data and analytics?
If you are a product engineer, you know that the product lifecycle is a complex and dynamic process that involves many stages, from ideation to launch to growth to retirement. How can you optimize each stage and deliver value to your customers and stakeholders? One of the key tools you can use is data and analytics. Data and analytics can help you understand your market, validate your assumptions, measure your performance, and improve your decisions. In this article, we will explore some of the most effective ways to leverage data and analytics throughout your product lifecycle.
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Mustafa MoosajeeActionable insights for better business. P&G | Lowe | Unilever | Nielsen | Searle
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Praneeta ChaudharyPrincipal Product Manager | Gen AI | ML | Recommendations | Personalization | Search & Discovery
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Ali PeikaniHead of Product Development & Innovation @ Sepehr Electronic Payment | Customer Experience Consultant