When Data and AI Actually Work Together
Most AI initiatives fail before they reach production. The issue isn't the technology — it's fragmented data across disconnected tools and governance models that can't support execution at scale. Databricks fixes this by unifying data, intelligence, and governance in one platform.
As a Databricks Gold Partner, we help you move from siloed systems to integrated data, analytics, and AI that work across Azure, AWS, and Google Cloud — delivering solutions built to perform in real enterprise environments. The goal isn't more AI experiments. It's AI that ships with outcomes.
Build
We build your lakehouse to unify scattered data — cleansed, governed, and integrated across analytics, AI, and operations at enterprise scale.
Grow
We grow your insights from data collection to realized value — using Databricks to accelerate analytics, deploy agentic solutions, and drive business outcomes.
Run
We make data operations run smarter — optimizing performance, automating data pipelines, and managing platforms that adapt in real-time.
Move Legacy Systems to Databricks — Without the Chaos
Your legacy platforms trap data in silos, slow modernization, and break when you try to scale. Our Migration Factory doesn't just lift and shift — it rebuilds your foundation. We use proven tooling and repeatable frameworks to migrate your workloads into Databricks with minimal disruption. The work cuts technical debt, modernizes your architecture, and sets up DataOps that actually scales. The result is a data platform built to evolve, not coast.
Health Insurer Automates Code Generation, Cuts LLM Costs by 85%
A large Midwest health insurer needed faster code generation for data pipelines, but their process required sending sensitive patient data to an external LLM API. They needed a solution that reduced costs, strengthened data security, and accelerated delivery — without breaking HIPAA compliance.
end-to-end databricks consulting
We engineer Databricks solutions for you when you face real complexity — systems that don't scale, data that won't integrate, and AI projects stuck in pilot mode. Our global team builds platforms that unify your data and AI, deploy for real-world production use, and deliver measurable outcomes.
Turn Operations Data into a Competitive Advantage
Manufacturing lines and vehicle fleets generate data faster than most organizations can use it. Predictive maintenance models fail. Supply chains stay reactive. Compliance tracking lags behind regulation.
We build unified data platforms on Databricks that connect production systems, IoT sensors, and supply chain operations in real time. The result is predictive maintenance that prevents failures, quality control that catches defects before they spread, and compliance automation that keeps pace with regulation. We deliver:
- Predictive maintenance through streaming data and ML failure models
- AI-powered quality control and defect detection
- Supply chain optimization via demand planning and serverless warehousing
- EV battery lifecycle tracking with automated compliance reporting
- Production line optimization through real-time operational analytics
Solution
- EV Battery Compliance: Battery passport regulations are complex and moving fast. Most organizations treat compliance as a reporting problem. We treat it as a data problem. We build AI-driven ecosystems that unify battery lifecycle data across manufacturing, use, and end-of-life — enabling compliance automation, predictive maintenance, and new revenue streams from battery performance insights.
Build Compliant AI That Scales
Financial services and insurance operations run on fragmented data. Customer personalization suffers. Risk models lag. Regulatory reporting is manual and reactive.
We unify siloed data on the Databricks platform, enabling AI-driven decisions backed by real-time analytics and governance frameworks that meet regulatory standards without slowing innovation. We deliver:
- Real-time fraud detection through streaming data and ML models
- Customer personalization powered by unified analytics and AI recommendations
- Risk management with predictive models on unified data platforms
- Automated underwriting and loan origination via collaborative data science
- Regulatory compliance through automated reporting and governance automation
Unify Fragmented Data Across Care, Operations, and Research
Healthcare and life sciences run on disconnected systems. Care teams lack a full picture. Research timelines drag. Operations stay reactive.
We unify siloed healthcare and life sciences data on the Databricks platform, enabling AI-driven decisions backed by real-time analytics and governance frameworks built for regulated, high-stakes environments — without slowing innovation.
Our Databricks Brickbuilder Specialization for Healthcare & Life Sciences confirms what our clients experience every day: Perficient brings the industry insight, technical depth, and measurable outcomes needed to advance data and AI at scale. We deliver:
- Real-world evidence and population health analytics through modern warehousing and AI
- Drug safety, clinical quality, and pharmacovigilance monitoring with streaming data pipelines
- Unified claims, revenue cycle, and operational intelligence powered by modern BI and machine learning
- Precision medicine and clinical decision support using genomic and multimodal data foundations
Solutions
- Clinical Pharma Data: Fragmented clinical data slows everything down — analysis, collaboration, decision-making. We build AI-ready repositories that unify trial data across your development lifecycle. Your teams work from one source of truth. Analysis accelerates. Decisions are grounded in complete data instead of disconnected systems.
- Omnichannel Member Services: Service teams struggle to deliver seamless support when member data is spread across legacy platforms and incomplete views. We build unified member platforms that bring eligibility, claims, and service interactions into a single, governed view. Your team sees the whole member journey. Issues resolve faster. Satisfaction climbs instead of being limited by legacy systems.
Deliver Personalization While It Still Matters
Customer data spans e-commerce, stores, and mobile — but insights arrive after the moment has passed. Inventory sits in the wrong place. Personalization feels generic. Pricing decisions lag demand.
We unify retail data on Databricks serverless platform, enabling real-time personalization, predictive demand forecasting, and inventory optimization that keeps pace with customer behavior. We deliver:
- Omnichannel personalization using ML models and unified customer analytics
- Demand forecasting and inventory optimization through collaborative data science
- AI-powered price optimization with real-time data engineering
- Supply chain visibility via streaming pipelines and unified intelligence
- Customer churn prediction leveraging predictive models at scale
Solution
- Unity Catalog Modernization: Scattered data products make governance difficult — security weakens, lineage breaks, and analytics slow down. We build governed data foundations on Databricks Unity Catalog that centralize access, improve catalog adoption, and automate migration of existing assets. Your teams work from a single, trusted catalog. Security tightens. Governance becomes consistent. Advanced analytics becomes easier to deploy — because your data is structured for scale and ready for AI.
Turn Service Data Into Customer Loyalty
Networks, content platforms, and subscriber systems generate massive data volumes. Performance insights lag. Audience behavior goes untracked. Customer experience suffers before you see the signal.
We provide unified analytics on Databricks through streaming data engineering, AI-powered predictions, and governance frameworks that turn real-time data into actionable intelligence. We deliver:
- Network performance monitoring and 5G optimization via streaming pipelines
- Customer churn prediction through collaborative data science and ML models
- Content recommendation and audience analytics powered by AI development
- Revenue assurance and fraud detection with unified business intelligence
- Advertising optimization through real-time analytics and personalized targeting
Most data and AI initiatives stall in planning. Our jumpstarts skip the analysis paralysis — we deliver rapid assessments, proven frameworks, and production accelerators that move you from concept to measurable impact.
Migrate in Months, Not Years
Legacy data platforms have become costly technical debt — hard to staff, expensive to maintain, and increasingly unsupported. Modern cloud-native options offer the scale and intelligence enterprises need, but traditional migrations take years and armies of consultants to complete.
The Agentic Data Platform Migration Factory changes the model. It combines expert architects with autonomous AI agents to accelerate migrations from legacy systems to modern lakehouse solutions. Purpose-built agents handle discovery, code conversion, data migration, and validation, while architects guide critical decisions to ensure accuracy and governance stay intact. The result: faster timelines, predictable quality, and scalable capacity — without the overhead and lag of traditional SI approaches.
Bring Focus to Your AI Strategy
Most organizations feel the pressure to "do something with AI," but unclear use cases, scattered data, and real security and compliance constraints slow progress before it starts. Teams spend cycles debating possibilities instead of validating what will actually move the business forward. The result: stalled momentum, rising expectations, and no clear path to impact.
AI AMP cuts through the noise. Our accelerated five-week approach pressure-tests AI ideas against the realities of your data and environment, zeroing in on the use cases that can actually deliver value. We assess data readiness, identify high-impact opportunities, and evaluate where techniques like machine learning and natural language processing can strengthen customer and employee experiences. Through targeted vision sessions, direct stakeholder input, and technical assessments, we deliver a clear, evidence-backed view of where AI should drive change — and a practical plan to make it real.
Modernize Your Data Engineering
Most teams spend too much time stitching together data pipelines, enforcing data quality, and managing brittle integrations — slowing their ability to deliver modern data and AI solutions. Engineering effort piles up, reliability suffers, and time to value stretches longer than it should.
Our Databricks Toolkit fixes that. It delivers ready-to-use accelerators for rapid ingestion, automated data quality, streamlined DataOps, and seamless enterprise integrations. Built for repeatability and scale, it cuts engineering effort, boosts reliability, and accelerates time to value — giving teams a proven foundation for modern data and AI workloads.
Cut Cloud Waste
Your cloud spend grows unchecked when visibility is poor and accountability is unclear. Our FinOps Optimization Jumpstart assesses your environment, configures monitoring tooling, and delivers cost insights with concrete recommendations.
This gives you visibility into where money goes, governance to control it, and a plan to eliminate overprovisioning before it compounds.
Innovate Faster with Databricks Workspaces
Lakehouse Launchpad gives you a fast, secure, and consistent way to deploy production-ready Databricks workspaces across AWS and Azure. It removes the manual effort and inconsistency of traditional builds by automating the entire multi-cloud setup — identity, governance, networking, and data architecture included.
Provisioning drops from weeks to minutes, cloud risk shrinks, and your data teams gain the freedom to focus on delivering value. And behind the scenes, we ensure the foundation is stable, scalable, and built to hold up in the real world.
Deliver Value with AI-Driven MSO
Most organizations rely on modern cloud and data platforms but still struggle with slow incident response, limited visibility, and unnecessary operational drag. Traditional MSO providers move too slowly. Pure AI/AIOps tools shift the burden back to your teams. Neither model delivers the accountability or speed enterprises need.
AI-powered MSO fixes that. We combine experienced 24/7 operations teams with intelligent AI agents to deliver faster resolution, proactive issue prevention, and reliable performance across your cloud, data, and application environments. Perficient owns the outcomes — leveraging proprietary AI accelerators for log analysis, knowledge management, and intelligent triage.
The service works across cloud platforms (AWS, Azure, and Google Cloud), Databricks, custom apps, and more, with transitions to steady state in 1-2 months using pre-built ingestion, knowledge, and triage frameworks.
Insights
Awards & Recognition
We don't pursue awards. We pursue outcomes — solutions that hold up under operational pressure, scale with your business, and deliver results with Databricks.
databricks frequently asked questions
We're a Databricks Gold Partner — the highest partnership tier — with Databricks Champions in the United States, Latin America, and India who deliver unified data, analytics, and AI systems that perform under pressure. Gold status means we've proven our ability to build lakehouses across Azure, AWS, and Google Cloud. Our team holds specialized certifications in data engineering, machine learning, platform administration, and Lakehouse architecture, ensuring every solution we build is backed by deep technical expertise.
The Migration Factory transforms your data foundation rather than simply lifting and shifting workloads. We leverage repeatable frameworks and proven tooling to migrate data into Databricks with minimal operational disruption. Our approach includes a Data Ingestion Framework that automates pipeline creation through configuration-driven patterns, plus a Data Quality Framework that delivers proactive validation and centralized quality checks throughout the migration process.
Perficient unifies Databricks with the rest of your enterprise stack by acting as your single, accountable partner across data, cloud, applications, and the platforms you already rely on — from the major hyperscalers to Adobe and Salesforce. By bringing these ecosystems together, we cut vendor sprawl, reduce integration risk, and eliminate the friction of coordinating multiple SIs with competing roadmaps. Our full‑stack expertise, industry accelerators, and enterprise‑grade delivery ensure your Databricks investment launches fast, scales securely, and connects seamlessly across the business — creating one cohesive data foundation and real, end‑to‑end value.
Leading Databricks Solutions
Michael Patterson
Vice President, Databricks Solutions
Michael brings over 30 years of experience helping organizations leverage data, analytics, and AI to drive meaningful business outcomes. He has led transformative initiatives with leading technology partners to deliver measurable impact for enterprise clients. His background spans data strategy, platform modernization, and leadership roles across high‑growth technology organizations.