Flexible structure
Real-time speeds
GenAI-ready
Secure data
Customer 360
Top Customer 360 use cases
Couchbase powers customer applications and provides critical insights to provide a 360-degree view of customers across any industry.
Retail
AI analyzes past purchases, browsing history, and customer preferences to recommend products the customer is likely to buy.
Banking
AI-powered chatbots can handle routine customer service inquiries like balance checks, transaction queries, and service issues, allowing human agents to focus on more complex customer needs.
Healthcare
AI can track patient interactions across various channels like appointments, hotline calls, and web inquiries to provide personalized care and timely follow-ups.
Telecommunications
AI models can mitigate churn by identifying customers who are likely to cancel services and enabling targeted interventions to retain them.
"With Couchbase working with us building these kinds of resilient solutions, it puts us in a good place to achieve our goal of a perfect customer experience."
“To set up a resilient implementation of Couchbase, it took us minutes. We stood up three servers, balanced the load, and instantly we were resilient.”
“We wanted a solution that seamlessly works across server and mobile. None of the other solutions came even close to Couchbase’s broad enterprise capabilities.”
“Couchbase is the beating heart of our payment data. The platform has been easy to deploy and manage from the very beginning.”
Customer 360 FAQ
Get answers to the most common questions about using NoSQL databases for Customer 360.
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Why use a NoSQL database for Customer 360?
NoSQL databases excel at managing varied and unstructured data. Their scalability and flexibility is ideal for integrating new sources into a comprehensive customer profile.
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What NoSQL DB type is best for Customer 360 apps?
Document stores like Couchbase are ideal for Customer 360 apps. They efficiently manage semi-structured data in JSON-like documents, allowing easy modifications without disrupting existing records.
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What challenges come with NoSQL for Customer 360?
Challenges include managing data consistency and quality as NoSQL provides eventual consistency rather than strict ACID compliance. Synchronizing data across diverse systems adds complexity.
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How does NoSQL handle scalability and performance?
NoSQL databases use distributed architectures to scale out across multiple servers, supporting the large data volumes and high throughput crucial for processing diverse Customer 360 datasets.
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What about data security and privacy concerns?
NoSQL databases address security with features like authentication, encryption, and fine-grained access controls to safeguard sensitive customer data in diverse and distributed environments.
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How do NoSQL DBs integrate with enterprise apps?
NoSQL databases offer robust APIs and connectors for integration with enterprise applications, including CRM systems and business intelligence tools, to ensure seamless data flow across platforms.
Start building
Check out our developer portal to explore NoSQL, browse resources, and get started with tutorials.
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