Customer Digital Twins (CDTs) are fast replacing static segmentation in retail and CPG with privacy-first, real-time customer models that let you simulate behavior, test campaigns, and predict outcomes at the individual level. Read the blog to know more about how to build and scale CDTs responsibly, balancing personalization with trust.
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Since most retail organizations already have a recommender engine of some sort, why aren’t all of them able to harness it effectively to derive powerful customer insights? Read how we built a 360-degree Customer View in GCP to solve this issue for our client.
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Data analytics is crucial for Private Equity (PE) firms to navigate a diverse client portfolio and complex data. Despite challenges such as data overflow and outdated strategies, a data-driven approach enables better decision-making, transparent valuation, and optimized investment opportunities, ensuring competitiveness in a dynamic market.
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