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Iseyon Analytics — Databricks Services: Expert AI-powered BI consulting and implementation services for enterprises. Request a demo or consultation at or iseyon.com/contact.
Unified Data Analytics Platform

Databricks is widely adopted wordwide — it counts more than 10,000 organizations (including over 300 Fortune 500 companies) using Data Intelligence Platform. Iseyon enables enterprises to modernize their data platforms, accelerate insights, and drive data-driven decision-making using the Databricks Lakehouse architecture.
A Forrester Total Economic Impact study found organizations deploying Databricks achieve a 417% ROI over 3 years, with nearly $29 million in total economic benefits and ROI payback in under six months.
“The Lakehouse is not just a technology category - it is a fundamental architectural shift that unifies all your data, analytics, and AI in one open platform, eliminating the fragmentation that holds organizations back.”— Ali Ghodsi, CEO & Co-Founder, Databricks
"more than 20,000 organizations worldwide on the Data Intelligence Platform — including over 60% of the Fortune 500 — are building their agent strategies." — Databricks
Iseyon implements Databricks as a unified platform that brings together data engineering, analytics, data science, and machine learning. By combining the flexibility of data lakes with the performance and reliability of data warehouses, Iseyon helps organizations simplify their data architecture and reduce operational complexity. The Databricks Lakehouse architecture reduces data infrastructure costs by up to 70% while improving query performance.
The Iseyon team designs and builds robust, high-performance data pipelines using Apache Spark on Databricks. Iseyon enables seamless ingestion, transformation, and processing of large-scale structured and unstructured data from multiple sources, ensuring high data quality, reliability, and scalability.
Iseyon helps businesses leverage Databricks for advanced analytics and reporting by enabling fast SQL analytics on large datasets. Iseyon solutions integrate Databricks with leading BI tools, allowing stakeholders to gain real-time insights and actionable intelligence from a single source of truth.
The Iseyon Databricks machine learning services support the complete ML lifecycle-from data preparation and feature engineering to model training, experimentation, and deployment. Using built-in ML capabilities and MLflow, Iseyon helps organizations operationalize AI models and move them efficiently into production.
Iseyon deploys Databricks on leading cloud platforms such as AWS, Azure, and Google Cloud, ensuring secure, scalable, and cost-optimized solutions. Iseyon's cloud-native implementations are designed to handle growing data volumes while maintaining performance and governance.
Iseyon implements enterprise-grade security, access controls, and data governance within Databricks. Iseyon solutions include workflow automation, job scheduling, monitoring, and cost optimization to ensure reliable and compliant data operations.
Iseyon helps organizations modernize legacy data systems by integrating Databricks with existing databases, data warehouses, and applications. This enables a smooth transition to a modern data platform without disrupting ongoing business operations.
Architecture comparison based on Forrester TEI study and Iseyon implementation benchmarks
| Capability | Legacy Data Warehouse | Databricks Lakehouse | Source |
|---|---|---|---|
| 3-Year ROI | Baseline | ~417 % ROI over 3 year | Forrester TEI commissioned by Databricks shows 417 % ROI and ~$29 M value. (Databricks) |
| Infrastructure Cost Savings | Higher legacy costs | Significant savings from retiring legacy systems | TEI interviews reported cost savings from retiring on-prem infrastructure/licensing. (PR Newswire) |
| Data Team Productivity | Lower productivity | Data scientist productivity up ~25 %, data engineer productivity up ~20 % | Reported productivity improvements in the TEI customer interviews. |
| Data Types Supported | Structured only | Structured, semi-structured & unstructured (unified platform) | General architecture capability of Lakehouse platforms (not specific to TEI) |
| ML/AI Support | Separate tools required | Integrated ML capabilities (e.g., MLflow) | Databricks platform includes integrated data + ML tooling (not specific to TEI) |
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Get Started TodayOur insights are backed by leading research institutions and industry experts
National Institute of Standards and Technology (NIST) • 2023
NIST AI RMF 1.0 provides voluntary guidance for organizations building trustworthy, responsible AI systems — applicable to Databricks ML and lakehouse deployments.
Read full studyDatabricks Research • 2024
Organizations migrating to the lakehouse architecture reduce data infrastructure costs by up to 30% while improving query performance 3–5x.
Read full studyDatabricks State of Data + AI • 2024
Fine-tuning large language models on Databricks reduced inferencing latency by over 60% while cutting compute costs for enterprise AI teams.
Read full study