Our Databricks Services Catalog
Enterprise Intelligence Enablement
Enable action-oriented intelligence by operationalizing agentic AI, NLP, and advanced analytics on governed Lakehouse data moving from insights to decisions. AI agents, semantic analytics, and real-time intelligence built on Databricks to power enterprise decision-making.
Platform Modernization to the Lakehouse
Modernize Legacy Platforms to the Lakehouse Consolidate fragmented data platforms into a unified, cloud-native Lakehouse to reduce cost, improve performance, and simplify data operations. Successful modernization of CDW, EDP, Hadoop, and on-prem platforms to Databricks.
Databricks Consulting & Advisory Services
Databricks Strategy to Execution Accelerate Databricks adoption with expert consulting—from Foundation 2.0 architecture to governance, roadmap, and execution. Advisory services that help organizations design, adopt, and scale Databricks the right way
Databricks Managed Services
Operate Databricks as a Mission-Critical Platform Ensure reliability, performance, and scalability of Databricks through proactive managed services and platform operations. 24×7 monitoring, performance tuning, upgrades, and operational support for enterprise Lakehouse platforms.
Databricks FinOps & Cost Optimization
FinOps-Driven Analytics at Scale Optimize Databricks consumption with embedded FinOps practices that balance performance, reliability, and cost efficiency. Continuous cost optimization through workload tuning, right-sized compute, and usage governance.
How We Engage
Pilot & Migration Assessment
Rapidly assess your current data platforms and use cases to define a clear migration and modernization path to Databricks with quantified ROI, risks, and effort. Best for: validating Databricks fit, de-risking migrations, and building executive confidence
Advisory & Consulting Engagements
Provide strategic and architectural guidance to design Foundation 2.0, prioritize use cases, and establish governance and operating models. Best for: organizations starting or recalibrating their Databricks journey.
Fixed-Scope Platform Modernization
Execute well-defined migrations and modernization initiatives—from Hadoop, CDW, or EDP to the Databricks Lakehouse—on a predictable scope and timeline. Best for: platform consolidation and legacy system retirement.
Managed Services & FinOps
Operate Databricks as a mission-critical platform with continuous optimization, monitoring, and cost governance. Best for: scaling analytics and AI without increasing operational burden or cloud spend.
Outcome-Based Engagements
Deliver measurable business outcomes by aligning analytics and AI initiatives directly to KPIs such as cost reduction, performance gains, or revenue impact. Best for: executive-sponsored initiatives with defined success metrics.
We have the experience
See how organizations accelerate AI value with Databricks and Artha Solutions.
A Leading Global Cruise & Hospitality Company
360° Customer Intelligence with Measurable ROI delivered
15–20% Increase in Repeat Bookings
Unified customer analytics on the Databricks Lakehouse, enabling targeted, real-time engagement
A Major U.S. Healthcare Payer
We migrated an on-prem Hadoop platform to the Databricks Lakehouse.
delivered Lower TCO, simplified operations.
Faster access to enterprise data intelligence at scale, enabling secured data sharing.
Databricks FinOps Delivered Through Managed Services
We delivered Databricks managed services with FinOps guardrails, optimizing cloud consumption and through right-sized compute, workload tuning, and proactive cost governance.
Reducing analytics platform costs by 25–40%
Real-Time ERP Intelligence Delivered
We delivered real-time NLP-based analytics from ERP systems on the Databricks Lakehouse, enabling continuous insights through CDC-driven data ingestion and on-the-fly semantic enrichment.
