Moving our legacy databases to an Azure SQL Managed Instance was a massive undertaking, but TechZavy executed it flawlessly. Their managed cloud services optimized our system architecture, boosting scalability and guaranteeing zero downtime.
Turn fragmented data into operational clarity.
Analytics modernization turns legacy data into trusted dashboards.
Technology-agnostic architectures unify cloud, legacy, and IoT data.
Proven modernization helped improve pharmacy data collection efficiency 10X.
Predictive modeling aligns IT inventory with measurable business value streams.
TechZavy brings six years of multi-agency delivery experience.
Practical analytics modernization backed by flexible teams, public-sector experience, and cloud partnerships.
Moving our legacy databases to an Azure SQL Managed Instance was a massive undertaking, but TechZavy executed it flawlessly. Their managed cloud services optimized our system architecture, boosting scalability and guaranteeing zero downtime.
TechZavy Consultant has been doing wonderful on the projects they have been working on. I’m very happy with the quality of work and productivity. My goals are being met.
TechZavy’s contributions to AI-driven enhancements—particularly the CRM chatbot for the MMCAP Members Portal—have meaningfully improved system functionality and user experience. Shan played a key role in modernizing the MMCAP analytics (ProductFile) processing by leading its migration from a legacy SSMS platform to an Azure-based solution using Data Factory, Databricks, and AI-supported optimizations. Also excelled in multiple roles as Project Manager, Azure Administrator, and AI Architect roles
Shan has led the development of our department’s online platform that captures energy efficiency program data reported by 100+ Minnesota electric and gas utilities. Shan and TechZavy team have an exceptional level of technical expertise and a keen ability to implement user-friendly designs. I highly recommend Shan to anyone who is looking to develop software product solutions.
TechZavy engineered a high-performance, centralized platform that bridged our legacy applications and brought us fully into the Azure cloud. The real game-changer has been their innovative use of Azure Open AI and autonomous agents to automate the reconciliation of judicial comments and sentencing departures. By seamlessly integrating our data with MNCIS and the DOC, TechZavy eliminated decades of data silos and drastically reduced our team’s manual administrative overhead. They delivered a solution that perfectly supports our statutory mandate
TechZavy has been meeting all contract obligations, including application development, data mapping, and process improvements. They have been extremely flexible in working with our technical and business requirements, have adjusted schedules and accommodated our resource timelines very well. Has worked extremely well with us in clarifying and adjusting deliverables as defined in the contract and has shown adaptability with us for minor modifications. Overall TechZavy has helped us advance our project as we approach production launch in the coming months.
Analytics starts with a clear view of where data lives, how it moves, and which decisions it should support. TechZavy maps legacy sources, cloud platforms, reporting dependencies, and operational workflows to define a practical modernization path.
You get a prioritized roadmap that connects IT inventory to business value streams, reduces duplicated reporting effort, and gives stakeholders a shared plan for scalable data delivery.
Modern analytics depends on data platforms that can scale without disrupting critical operations. TechZavy designs technology-agnostic architectures that can connect legacy systems, cloud services, structured data, and emerging sources into reliable pipelines.
With experience including SQL modernization into Azure Databricks Lakehouse, your organization gains cleaner data movement, stronger governance readiness, and a foundation for reporting, automation, and AI use cases.
Dashboards only create value when users trust the numbers and can act on them quickly. TechZavy builds analytics experiences around program goals, operational roles, and real decision points, not just visual charts.
Deliverables can include executive dashboards, cohort views, service performance reporting, and user-friendly workflows. Cognitive user experience practices help improve clarity, adoption, and ongoing refinement through feedback and analytics.
Predictive analytics is most effective when tied to a specific operational question. TechZavy applies predictive modeling to help organizations forecast demand, identify risk patterns, improve resource planning, and prioritize high-impact interventions.
The approach stays practical: define the use case, validate data quality, test model outputs, and connect insight to workflows. This supports strategic AI implementation without treating AI as a disconnected experiment.
Analytics modernization can introduce risk if testing, deployment, and documentation are not built into the delivery model. TechZavy uses scaled Agile DevOps, standardized documentation, and transparent inspection to keep analytics work traceable from backlog to production.
Your team gains clearer release planning, rapid adaptation to changing requirements, and knowledge transfer that supports continuity when platforms, users, or staffing needs change.
Analytics environments need support after launch, especially when reports feed operational programs, compliance workflows, or executive decisions. TechZavy supports managed hosting, monitoring, platform updates, and AIOps-enhanced delivery to protect service performance.
Experience with five-year managed hosting and 99.999% uptime on a public-sector energy platform reflects the operational discipline applied to analytics and data systems.
Analytics should do more than summarize what already happened. TechZavy helps you modernize data environments so leaders, operators, analysts, and service teams can act on timely, reliable insight.
That means mapping legacy data, reducing duplicate reporting effort, building scalable platforms, and applying AI only where it supports high-impact use cases. Experience across public-sector systems, healthcare data, environmental programs, supply chain operations, and enterprise modernization gives your team practical delivery support for compliance-sensitive environments.
As a Microsoft AI Cloud Partner, Oracle Cloud Partner, AWS Solutions Provider, and Google Cloud Partner, TechZavy supports technology-agnostic architectures that fit your operational reality instead of forcing a rigid platform choice.
Analytics programs often fail when data strategy is separated from daily operations. TechZavy builds reporting and intelligence workflows around the systems, users, and service outcomes your organization already depends on.
The result is clearer insight delivery, fewer manual reporting gaps, and a data foundation that can adapt as requirements, policies, and user needs change.
TechZavy approaches analytics as a modernization discipline: inspect the current data landscape, identify decision bottlenecks, prioritize value streams, and deliver in transparent Agile DevOps cycles.
This delivery model helps business and technical teams stay aligned while analytics capabilities move from concept to production. From Azure Databricks Lakehouse modernization to dashboards, managed hosting, and AI-driven case management patterns, the focus remains on measurable service performance and rapid knowledge transfer.
With roughly 80 qualified developers, project managers, business analysts, and testers, TechZavy can mobilize specialized teams quickly while maintaining documentation-backed continuity when scope, staffing, or platform needs evolve.
Get clearer reporting, stronger decisions, and faster insight delivery.
You can access a full spectrum of analytics services designed for complex, compliance-sensitive environments. Solutions include legacy data mapping, cloud data platform migrations, operational dashboards, predictive modeling, and AI-powered analytics tailored to high-impact use cases. You benefit from technology-agnostic architectures that unify legacy, cloud, and IoT data, ensuring your analytics environment is scalable and adaptable to your unique operational needs.
Analytics modernization transforms fragmented reporting into reliable, actionable insight, helping you make faster, data-driven decisions. Predictive modeling aligns IT inventory with your business value streams, while automated dashboards reduce manual reporting effort. This approach not only improves the quality and timeliness of your reporting but also gives decision-makers a clear, unified view of operations for better strategic planning.
Analytics integration begins by mapping your legacy data and identifying gaps or redundancies in reporting. The process includes:
This ensures your analytics workflows are connected to the systems and users that drive your daily operations.
You can expect predictable cost models with fixed-fee delivery, tailored to your projects scale and complexity. Timelines are adapted to your operational constraints, with rapid mobilization and clear milestones to keep the project on track. Delivery is managed through scaled Agile DevOps workflows, ensuring transparency, continuity, and alignment with your schedule and resource availability.
You gain the advantage of proven delivery in high-stakes public-sector, healthcare, and enterprise environments, supported by partnerships with Microsoft, AWS, Oracle, and Google Cloud. The approach emphasizes technology-agnostic solutions, rapid mobilization, and a track record of modernizing legacy systems for measurable outcomes. You also benefit from a team skilled in AI-driven analytics, predictive modeling, and continuity-focused delivery, ensuring your analytics investments directly support your operational and business goals.