Ververica Platform Case study: Customer 360

Building a Customer 360 view transforms the way you interact with your customer data, offering unparalleled access to critical insights. With a unified, comprehensive view of customer information, you can make informed decisions ranging from personalized recommendations to operational improvements in real time.

By integrating all customer data—across touchpoints like sales, customer service, and policy management—you unlock the potential to:

• Optimize sales strategies through data-driven decisions,
• Enhance customer service by quickly accessing relevant information,
• Improve customer lifetime value by managing user lifecycles efficiently.

Leveraging a platform like Ververica, you can create this 360-degree customer profile with seamless access to data, enabling actionable insights through advanced tools like machine learning and AI. This holistic view empowers you to:

• Deliver real-time analytics,
• Provide tailored recommendations,
• and Boost operational efficiency.

Ververica data platform turns raw customer data into a valuable asset, offering a central hub where all insights converge, driving continuous improvements across every customer interaction.

The result? A data-rich environment that enhances decision-making, provides deep analytics, and creates personalized, dynamic experiences, ensuring that your business remains agile and customer-centric in a fast-paced digital world.

Customer 360 with Ververica’s Flink Offering

A Customer 360 view empowers you to access and utilize all your customer data in one place, driving better decision-making and personalization. With Ververica’s Flink offering, you can integrate real-time data streams to build a unified customer profile, giving you the ability to:

• Make informed decisions for sales and customer service,
• Enhance personalization through real-time insights,
• Improve customer lifetime management.

Challenges from Not Having a Customer 360

• Data silos: Information is scattered across CRM, payment, login, and logistics systems, making it hard to access a complete view.
• Inefficient customer interactions: Customers must repeatedly provide order or sales numbers, slowing down service and frustrating them.
• Lack of personalized recommendations: Inability to connect in-store and online purchases prevents tailored product suggestions.
• Fragmented customer profiles: Difficulty managing multiple profiles for users with different personas or identities.
• Delayed decision-making: Lack of centralized data hampers real-time insights and actions.

A Customer 360 solves these by unifying data for timely, accurate decisions.