Enterprise Data Aggregation Services
Unlock deeper insights and enable faster decisions by transforming your fragmented data into a cohesive and coherent single source of truth.
FROM DISPARATE DATA TO INTELLIGENT INSIGHTS
Why enterprises choose 10Pearls for data aggregation services
Future-proof scalability
Build adaptable and scalable data aggregation systems designed to keep pace with regulatory shifts, data volume growth, and expanding data sources.
Strategic AI enablement
Enhance your business’s AI readiness with data aggregation solutions embedded with AI/ML capabilities for advanced analytics and data transformation.
Domain expertise
Implement tailored data infrastructure and built-in compliance by leveraging our deep expertise in industry-specific data management and governance requirements.
Technology-agnostic
Ensure optimal performance and seamless integration with your existing infrastructure with the tech stack best suited to your data and digital architecture goals.
Security by design
Improve data security and regulatory compliance by embedding comprehensive observability capabilities, security layers, and governance controls.
Data aggregation services we offer
Data collection
Build a solid foundation for data analysis by identifying and mapping all available data sources to enhance visibility across siloes and clarify data boundaries.
Data ingestion
Gain real-time visibility and faster insights by moving data into centralized platforms with automated pipelines that ensure continuous availability and accuracy.
Data consolidation
Unify fragmented data (both structured and unstructured data) and eliminate silos for improved data quality, management, and operational accessibility.
Data security & governance
Protect your data, reduce risk, improve overall governance, and ensure reliable decision-making with embedded controls for access, lineage, quality, and compliance.
Data virtualization
Provide real-time, unified access to distributed data without replication, enabling faster insights, reduced storage costs, and simplified enterprise integration.
Data observability & monitoring
Continuously monitor data pipelines for freshness, quality, and anomalies to prevent failures, maintain trust, and ensure reliable analytics and AI operations.
Analytics, BI & AI
Enable informed and AI-augmented intelligent, decision-making by transforming aggregated data into dashboards, BI frameworks, AI systems, and predictive models.
Privacy-preserving engineering (PPE)
Embed anonymization, encryption, and access controls into data pipelines to protect sensitive data and ensure compliance, allowing you to innovate and scale with confidence.
Data product design & governance
Design governed, reusable data products with defined ownership, quality standards, and APIs to scale reliable and trusted analytics, AI, and self-service adoption.
Tools & technologies
Our platform-agnostic approach to data aggregation and analytics leverages the best-in-class technologies that are most suited to your business needs.
Stream processing
Data analysis in real-time as data flows from source to destination.
- Apache Kafka
- Apache Flink
- Spark Streaming
- AWS Kinesis
- Google Cloud Dataflow
- Azure Event Hubs
- Confluent Cloud
ETL and ELT platforms
Move and prepare data from multiple sources for analysis.
Data warehouses
Centralized repositories for organizing and analyzing historical data from multiple sources.
Analytics and BI
Transform raw data into actionable visual insights and dashboards.
Benefits of data aggregation with 10Pearls
Trusted data for decision-making
Improve data consistency and quality through standardized pipelines, increasing confidence in analytics, reporting, and AI-driven decisions.
Real-time decision intelligence
Enable real-time visibility into operations, empowering teams to make faster, data-driven decisions with confidence.
Intelligent process automation
Power intelligent automation across enterprise workflows with trusted data that drives scalable agentic AI and process orchestration.
Reduced enterprise risk
Strengthen compliance and reduce operational risk with unified, governed data that supports evolving regulatory requirements.
AI-ready data foundations
Establish AI-ready data foundations with governed data that supports enterprise-wide adoption.
Data aggregation case studies
case study - technology
Data Intelligence Platform
Accelerating public health emergency response with an enhanced, secure platform enabling real-time data sharing.
case study - TECHNOLOGY
Agile Cloud Infrastructure
Improving operational agility, reducing cost, and optimizing resource management with a modernized, cloud-based infrastructure.
case study - TECHNOLOGY
Intelligent Data Analytics Platform
Driving better insights and decision-making through a modernized analytics platform, maximizing the impact of data.
FAQs about data aggregation services
What are data aggregation services?
Data aggregation services involve collecting, consolidating and standardizing data from various sources, systems, apps and databases, to create a single, trusted source that supports business functions and operations like reporting, analytics, automation and enterprise AI.
Why do enterprises need data aggregation services?
Enterprises use data aggregation solutions to enhance operational efficiency and inform decision-making. Comprehensive data aggregation and analytics solutions can eliminate data silos, improve data quality, reduce the need for manual reporting and support AI projects.
What is the difference between data aggregation and data consolidation?
Data aggregation gathers data from multiple sources, whereas data consolidation involves storing that data in a unified structure such as a warehouse or lake. Both steps are needed before you can proceed to advanced capabilities such as enterprise analytics, BI and AI.
What is the difference between data aggregation and data analytics?
Data aggregation primarily involves collecting and unifying data from different sources into one coherent and structured view. Data analytics is the process of examining this unified data to find patterns, answer questions and inform business decisions.
How do you ensure data security during aggregation?
We embed security controls at every layer, including end-to-end encryption, role-based access controls, audit logging and compliance with industry standards. We also conduct audits and tests regularly to maintain the highest security standards.
What if our data volumes grow?
We design our solutions with scalability in mind. Our architectures are designed and built to adapt and scale as business needs and demands shift without impacting or disrupting performance.
Can you work with our existing technology stack?
Yes, we take a platform-agnostic approach and can integrate with any existing systems, be it legacy mainframes or cutting-edge cloud platforms. Our goal is always to enhance and extend your current investments and capabilities with minimum disruption to existing systems and processes.