Project Metamorphosis: Wir präsentieren die Event-Streaming-Plattform der nächsten GenerationMehr Erfahren

Customer 360°

With the growing number of sensors, devices and ways of interacting with a brand, getting a single view of a customer’s activity is extremely difficult. And yet critical to both growth and competitiveness.

Most business applications have been designed to process of a handful of interactions such as a customer profile update, processing an order, support call tracking, or website clickstream collection. But only by viewing the output of all of these specialized systems can a holistic picture of a customer and their activities be assembled.

Achieving Insights with the Data is Complicated

While many companies have resorted to collecting all the data and dumping it in a lake, that method doesn’t guarantee useful insights. Once the data is collected, there is still complicated work to be done to condition it to deliver those insights.

Customer Experiences Need to be Real Time

Brands and companies have the most to gain if they can react to insights in real time. It can enable new revenue streams, higher efficiency and faster sales cycles through recommendation engines, in-store offers and customer service communications triggered by events recorded on the event streaming platform.

Effective Customer 360° Projects Have:

Confluent Platform offers an event streaming platform upon which you can unite all your systems, data sources, and applications into a global, scalable, event-driven architecture.

Real-time Data

When user data flows through an event streaming platform, it can be persisted in one or more systems of record, compared to other events across this user profile, other user profiles, or other trends to respond in real time with event-driven applications.

No Silos

Large enterprises form silos. It’s natural. Only by understanding that, and having our architecture adapt to that, can we effectively gather a single source of truth.


Event-driven applications create automated, highly-scalable responsiveness for the modern, digital enterprise. As new information is collected, even in the form of trillions of new data points per day, a customer 360 platform can create unprecedented value—even reshape entire industries.

A Central Nervous System for Customer Data

What has been missing in the architectural puzzle is an event streaming platform. Notably, it’s low-latency performance and ability to consolidate different streams into a single view of customers that is updated continuously in real time. By providing a common standard for organizations to share, process and distribute data, event streaming platforms can help to maximize positive customer interaction and engagement.

Placing an event streaming platform at the heart of a business enables the discovery of new business opportunities. By both centralizing data across the company, and simultaneously distributing it to every application or system, new insights can reveal unexpected ways to build new revenue sources.

Why a Streaming Platform Helps

Establish a single source of truth: an event streaming platform can connect sensors, systems and applications that are generating data every second to create a single combined view of every prospect. This makes it much simpler to leverage the right tool for the task at hand.

Stream Processing Delivers Accurate, On-the-Fly Insight

When events stream, companies need to run processes against data in motion. Stream processing executes continuous processes in real time that are fast enough to put in front of your users, taking action on user-generated events as they occur.

Real Time at the Center of Your Business

With streams of real time events, businesses don’t worry about delivering information when it’s not relevant anymore. Always be on top of the activity and manage next actions appropriately with a highly available distributed system you can rely on.

Customer 360 Across Industries

By deploying an event streaming platform, enterprises increase revenue and create brand loyalty, two aspects that are critical to long-term success in today’s digital world. In addition, organizations have the opportunity to detect areas for growth in the future and create new products, as well as identify threats. Customers enjoy a seamless experience with the business no matter what channel they interact on, which makes them want to keep coming back.


Event streaming platforms enable financial services providers to implement a broad-scale Customer 360 program to improve customer satisfaction scores, while using the same data to pattern match for fraudulent behavior.


With the onset of event streams, the telecom industry is capturing customer events through multiple channels, including remote control clicks, web clicks, mobile data, and more. This way, they can anticipate customer needs or interests and deliver in-context offers or communications.


A great beneficiary of event streaming platforms, the retail industry is experiencing a revolution caused by the highly scalable, real-time offers of the disruptive, digital natives in this sector. All major retailers globally are embracing streaming as the atomic unit of the new, real-time retail transaction.

Case Study: Fortune 500 Media & Entertainment

Ein Fortune 500-Unternehmen für Medien & Unterhaltung setzt auf Confluent Platform, um die Sicht auf seine Kunden zu optimieren.

Um ein echtes 360-Grad-Profil eines Kunden erstellen zu können, brauchte das Unternehmen eine einzige Quelle, die die Integration mehrerer Datenproduzenten ermöglicht und zuverlässig ist. Mit einer Vielzahl von Datenquellen aus Internet, TV und mobilen Kanälen sowie einem wachsenden Datenvolumen und einer breiten Palette an Programmiersprachen war schnell klar, dass es nur mithilfe von Confluent Platform als Mittelpunkt der Infrastruktur möglich sein würde, die Daten der Organisation effizient zu nutzen.

This allows their developers and data engineers to support outside teams with real-time data – powering predictive ad-placements with real-time stream processing data from the Streams API; having their support team pull up-to-date customer info from their data warehouse; and delivering real-time applications to their end users. From this central nervous system of data the media company is able to successfully meet their customer's expectations; cutting down the time to market for key data-driven functionality.