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

Consolidate and unify your data to power business intelligence and accelerate efficiency and growth. Our data aggregation services bridge this gap by unifying disparate data sources into consolidated and streamlined intelligence pipelines that provide valuable insights and enable data-driven decisions.

We deliver comprehensive data aggregation solutions, from ingesting and consolidating data to harmonizing it for analytics and AI. By centralizing your data into a single source of truth, you can confidently build dashboards that accurately reflect real-time insights, automate workflows and processes, and feed advanced models with reliable inputs.

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.

15 Statewide divisions successfully integrated

Minimized downtime

Read case study →

case study - TECHNOLOGY

Agile Cloud Infrastructure

Improving operational agility, reducing cost, and optimizing resource management with a modernized, cloud-based infrastructure.

3 Months to achieve scalability with cloud-native solutions

200+ Locations optimized to reduce costs

Read case study →

case study - TECHNOLOGY

Intelligent Data Analytics Platform

Driving better insights and decision-making through a modernized analytics platform, maximizing the impact of data.

Maximized ROI on data investments

Future-ready infrastructure

Read case study →

Data Intelligence Platform

Agile Cloud Infrastructure

Intelligent Data Analytics Platform

Data Intelligence Platform

1 / 3

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.