Powering smarter decisions through data
Vision DataPulse is an enterprise-grade analytics and data processing platform developed by Vision, designed to deliver high-performance, scalable, and cost-efficient data intelligence. It unifies open source compontens like ClickHouse, Airbyte, Metabase or commercial platforms like Power BI into a single, integrated solution that enables real-time ingestion, processing, and visualization of large-scale datasets.
Vision DataPulse delivers a fully integrated, end-to-end data architecture covering data extraction, transformation, and presentation.
Operational data is collected from multiple sources, processed through a high-performance analytical layer, and exposed via intuitive analytical interfaces.
This unified approach eliminates fragmented toolchains and ensures consistency, scalability, and reliability across the entire data lifecycle.
The platform includes a dedicated ETL ingestion component that enables reliable data extraction from a wide range of operational systems, APIs, and applications.
Data pipelines are configurable, extensible, and designed to support both batch and near-real-time synchronization.
This layer allows organizations to onboard new data sources quickly while maintaining full control over data flows and dependencies.
At its core, Vision DataPulse leverages a columnar analytical processing engine optimized for large-scale data transformation and aggregation.
The engine is designed to handle very high data volumes with low latency, enabling fast analytical queries and near real-time KPIs.
This ensures predictable performance and excellent cost-efficiency as data volumes and user concurrency grow.
The presentation layer provides self-service analytics capabilities for both business and technical users.
Users can explore data, build dashboards, and perform ad-hoc analysis without relying on complex tooling or specialized skills.
The result is faster insight delivery and broader data adoption across the organization.
Vision DataPulse combines enterprise-grade governance with the flexibility of modern analytics platforms.
Centralized data models ensure a single source of truth, while still enabling controlled self-service for reporting and exploration.
This approach reduces reporting inconsistencies, supports compliance requirements, and scales cleanly across teams and departments.
Vision’s implementation teams bring deep experience in designing, deploying, and optimizing large-scale analytics platforms.
Projects follow an incremental delivery model, starting with core KPIs and expanding toward full analytical coverage.
This methodology shortens time-to-value and ensures that the platform delivers measurable business impact from early stages.
A single, end-to-end data pipeline that brings together extraction, processing, and presentation capabilities, delivering a seamless flow from raw data to business insights without siloed tools.
Powered by a high-performance analytical core designed for large datasets and concurrent users, enabling fast query responses and near-real-time visibility into key metrics.
A flexible and scalable ingestion layer that connects with diverse data sources, supports both batch and continuous sync, and adapts as your data landscape evolves.
Business and technical users alike can explore data, generate visual dashboards, and perform ad-hoc analysis with intuitive interfaces that accelerate insight adoption.
Built-in governance and control features ensure a trusted single source of truth, with consistent definitions, access controls, and auditability across all analytical outputs.
Guided implementation methodology backed by domain and technical expertise, delivering measurable outcomes quickly while ensuring scalability and maintainability.