Data Aggregation Services

We gather data from different sources to draw meaningful analysis and drive business outcomes efficiently. Our data aggregation solutions help our clients have access to combined datasets from a range of prescribed databases for processing their data at a granular level.

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Industries We Serve Data Aggregation

BFSI (Banking, Financial Services, and Insurance)

Capital Markets

TMT (Telecom, Media & Entertainment, & Technology)

Other Industries

Data Aggregation Solutions

We aggregate data and process it to summarize a large pool of data into a more consolidated form. Our data aggregation solutions enable our clients to support their dynamic business environments ensuring easy maintenance and flexibility. We collect data schemas and code repositories from the existing systems/databases and stitch data lineage across the entire data supply chain. We follow a defined standard and apply best practices to keep our aggregated data up-to-date with a well-defined data dictionary and business glossary, which is further utilized to generate valuable insights.

Data Aggregation Services & Solutions

Data Stitching Services

We facilitate accurate and rapid interpretation of data by leveraging our data aggregation, data warehousing, and data management services
We stitch data from different sources and create meaningful KPIs using data from multiple sources

Data Processing Services

Expertise in data processing and aggregation by applying complex business rules using ETL tools to create functional enterprise data marts, both on the cloud and on-premises
We provide our customers clean, transformed, processed, and aggregated data for specific analysis by creating data marts

Data Presentation Services

Aggregated data is stored and refreshed to support visualization or analysis efficiently
We streamline and equip data with business processes and enhance the end report generation frequency

Why SGA for Data Aggregation

Data Expertise Across Domains

The SGA team has technical expertise across industries like BFSI, Media, Entertainment, Pharma, and E-commerce to aggregate, process, and analyze data.

Automated Data Extraction Processes

Our automated data extraction and cleansing processes enable us to eliminate errors in the process.

Timely and Informed Decision-making Process

We offer time-efficient and accurate data aggregation and analysis for process effectiveness.

Who We Work With

Chief Analytics Officer and Chief Data Science officer

We help drive data-driven decisions through the extensive use of analytics.

Head of Research and Competitive Intelligence

Using our data capabilities along with market research and analytics to keep our customers ahead of their competition.

Sales and Marketing Leaders

Leveraging data and analytics to do smart processing, targeted marketing campaigns, and maximizing product and customer intel to drive successful campaigns.

Chief Data Officer

Enhancing the data aggregation, engineering, and cleansing processes such that the highest quality inputs are fed into analytics and decision-making engines.

Data Aggregation Ins(AI)ghts

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Governance by Design: The Fintech Founder’s Field Guide to Responsible AI

Operationalizing the Data-to-AI Value Chain for Enterprise Scale and High-Value M&A Readiness: A Straive Perspective

This whitepaper explores how FinTech companies can embed responsible AI governance directly into their technology and data infrastructure rather than treating compliance as a post-development hurdle. As AI adoption

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Top 10 Data Science Companies – 2026

Modern business strategy has evolved rapidly as organizations enter a data-first decade. According to a recent McKinsey study, companies that integrate data science into decision-making outperform competitors by nearly 25 percent in operational efficiency. In addition, the shift from manual analytics to machine learning and AI has changed