Modernize customer data infrastructure without the overhead

Data360 gives you full control of your data foundation with a flexible architecture to scale personalization across channels.

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Where customer data initiatives lose momentum

Customer data may be unified for one use case, yet the foundation can quickly become expensive to extend as systems, business definitions, and analytical needs change. Enterprises need an approach that reduces repeated engineering work while retaining control over their data models and platform architecture.

Inflexible, high-cost CDPs

Off-the-shelf CDPs bundle unnecessary features and rely on rigid data models with standardized schemas, which makes customization difficult and drives up costs.

Delayed time-to-insight

Building ingestion pipelines, customer models, and analytics capabilities separately for every implementation delays access to usable customer intelligence.

Limited platform agility

Each new source adds integration and reporting work, leaving business teams dependent on data specialists and technical teams with a growing maintenance backlog.

Data360 delivers a modern approach to customer data

Data360 packages the core stages of a customer data platform into reusable components. It creates a connected flow from source onboarding and data modeling to Customer 360 analytics and AI-assisted exploration, while allowing each layer to be adapted to existing systems and enterprise requirements.

Connect multi-source customer data

Bring data together from commerce, CRM, support, databases, and storage systems. Reusable connectors and ingestion pipelines reduce the effort required to add new sources.

Shape data around the business

Transform raw records into customer, transaction, product, and event models. Teams can adapt these models to their business definitions without rebuilding the wider platform.

Build Customer 360 profiles

Combine purchase history, engagement, and support interactions into unified profiles. Data360 uses capabilities such as RFM analysis and customer tiering for better segmentation and analysis.

Analyze customer performance

Understand customer retention, conversion funnels, and product performance through ready-to-use analytics. Teams can use these insights to identify growth opportunities and areas of risk.

Explore data in plain language

Enable business users to ask questions about customer data without writing SQL. The AI-powered assistant converts questions into database queries and returns the results in a visual or tabular format.

Support multiple business contexts

Keep data and configurations separated for different business units, customers, or markets. The modular foundation can be extended as data volumes, systems, and analytical needs evolve.

Maximize your customer data ROI

With reusable customer-data and analytics components, Data360 helps enterprises move from fragmented information to practical customer, product, and revenue insights more quickly.

Thoughtmesh Enterprise Ready Architecture

Low-cost, open-source

Reduce total cost of ownership (TCO) by leveraging open-source technologies across ingestion, transformation, and analytics. Data360, thus, stays extensible with community-driven innovation and reduced upkeep.

Faster Time to Value

Faster time-to-value

Deliver measurable outcomes quickly. Data360 delivers insights and personalization from the start, helping enterprises launch campaigns and improve experiences without long ramp-up periods.

Scalablility

Scalable infrastructure

Handle growing data volumes and evolving workloads without redesign. Data360 scales seamlessly with your business, ensuring consistent performance across channels and markets.

See Data360 in action.

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