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In today’s fast-paced business world, data-driven decision-making is not just a trend—it’s a competitive necessity. At Aisosys, we empower organizations to unlock insights from their data using robust analytics, BI tools, ETL pipelines, and real-time dashboards.
Our team of 150+ skilled data engineers, BI experts, and analysts build end-to-end solutions that help you forecast trends, identify growth opportunities, and improve operational efficiency.
Centralized and scalable data storage
Cloud-based data warehousing (Snowflake, Big Query, Redshift)
Schema design, optimization & migration
Historical data management and versioning
Interactive dashboards with tools like Power BI, Tableau, Looker
KPI tracking, financial analytics, and custom reporting
Role-based access and real-time collaboration
Visual storytelling and data exploration
Design and automation of Extract, Transform, Load processes
Data cleansing, normalization, and enrichment
Integration with diverse data sources (APIs, databases, CRMs)
Scalable and fault-tolerant ETL architecture
Stream-based processing using Kafka, Spark, or Flink
Live business activity dashboards
Real-time alerts, anomaly detection & reporting
Actionable insights with low latency
We begin by understanding your data sources, goals, and gaps through a detailed audit.
We design the optimal data pipeline architecture and recommend the right BI tools.
Our engineers build ETL workflows, dashboards, and data models tailored to your KPIs.
We ensure performance tuning, scalable data models, and continuous dashboard updates.
We specialize in Power BI, Tableau, Looker, Google Data Studio, and custom dashboard development.
Yes, we build ETL pipelines that integrate seamlessly with platforms like Salesforce, SAP, HubSpot, and more.
Absolutely. We create real-time streaming and alerting solutions using tools like Apache Kafka, Spark, and Flink.
Data security is a top priority—we ensure encryption, access controls, and compliance with GDPR, HIPAA, and ISO standards.
Yes. We help migrate and modernize legacy systems to modern data warehouses and BI platforms.