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.
Structured Dataverse systems built for continuity.
Disconnected data slows decisions; Dataverse centralizes records with Microsoft AI Cloud Partner expertise.
Legacy processes create risk; TechZavy maps data for scalable Power Platform modernization.
Manual approvals drain time; Dataverse workflows support rapid, governed automation delivery.
Security gaps increase exposure; role-based Dataverse design supports controlled enterprise access.
Reporting blind spots limit action; Dataverse structures data for analytics and high-impact use cases.
Practical delivery expertise for complex data, workflow, and platform environments.
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 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.
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 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.
Dataverse success starts with a clear data model. TechZavy helps define tables, relationships, fields, ownership, validation rules, and naming standards so your platform reflects how the business actually operates.
This creates a stable foundation for Power Apps, reporting, automation, and future AI use cases while reducing duplicated records, unclear ownership, and long-term maintenance friction.
Legacy data rarely moves cleanly without analysis, mapping, and validation. TechZavy supports migration planning from spreadsheets, SQL databases, Access solutions, SharePoint lists, and other operational repositories into Dataverse.
Deliverables can include source-system review, field mapping, transformation logic, test loads, validation checkpoints, and documentation that supports immediate knowledge transfer and seamless coverage after launch.
Dataverse strengthens Power Platform when apps and workflows are built on structured, governed data. TechZavy designs the backend logic, security roles, business rules, and automation triggers needed for reliable low-code and pro-code delivery.
Your teams gain better approval flows, cleaner user experiences, and scalable process automation without adding unsupported shadow systems or creating avoidable operational debt.
Enterprise data platforms need access controls that match real responsibilities. TechZavy configures Dataverse security concepts such as roles, teams, business units, row-level permissions, and environment governance to support controlled collaboration.
The result is a practical balance between usability and protection, especially for organizations handling sensitive operational, healthcare, financial, or public-sector information.
Dataverse can become a stronger analytics source when information is modeled consistently and integrated with reporting tools. TechZavy helps structure data for dashboards, operational metrics, predictive modeling, and high-impact use cases.
This supports Data-Driven Alignment by turning transactional records into actionable business intelligence for leaders who need clearer visibility into performance, demand, risk, and outcomes.
A Dataverse launch should include the practices needed to sustain it. TechZavy applies scaled Agile DevOps, standardized documentation, testing discipline, and support planning to reduce deployment risk and improve continuity.
With managed and professional IT services experience, Microsoft AI Cloud Partner status, and cloud partnerships across AWS, Oracle, and Google Cloud, delivery is built for long-term adaptability.
MS Dataverse gives your organization a governed data layer for Power Apps, Power Automate, Dynamics 365, reporting, and AI-enabled workflows. Instead of building more disconnected lists, spreadsheets, and shadow databases, your teams gain a structured platform for secure records, relationships, business rules, and role-based access.
TechZavy helps define the data model, migration path, integration approach, and DevOps documentation needed for production readiness. With Microsoft AI Cloud Partner status and experience modernizing public-sector and enterprise data environments, the focus stays on operational continuity, clear ownership, and measurable business or mission value.
Dataverse is most valuable when it is designed around real operating needs, not just application screens. TechZavy aligns your platform architecture to security, reporting, automation, and long-term support requirements.
Your Dataverse environment should support production use without creating new operational risk. TechZavy brings a scaled Agile DevOps approach with transparency, inspection, and rapid adaptation across design, build, testing, deployment, and support planning.
That delivery discipline is grounded in experience across managed IT services, cloud modernization, data intelligence, and government IT environments. From public-sector legacy data modernization to Azure-hosted platforms and Lakehouse modernization work, TechZavy understands how to move complex data ecosystems forward while protecting continuity, usability, and stakeholder confidence.
Clarify your data model, governance needs, and Power Platform roadmap.
A typical ms dataverse implementation service provides you with a governed data layer for Power Platform, including Power Apps, Power Automate, and Dynamics 365. The service covers data model definition, migration planning from legacy systems, integration with cloud and on-premises applications, and security configuration with role-based access. Detailed DevOps documentation ensures knowledge transfer and operational continuity, so your environment is production-ready and aligned to your business needs.
Ms dataverse enables you to centralize fragmented data, automate manual workflows, and apply standardized business rules, reducing operational risk and inefficiency. By migrating your legacy databases and spreadsheets into a secure, structured platform, you gain:
The migration process starts with a detailed assessment of your legacy data sources, including databases, spreadsheets, and siloed applications. Data mapping and cleansing ensure accurate, structured entity relationships in ms dataverse. Integration planning connects external systems, while standardized documentation and agile DevOps practices support a seamless transition with minimal disruption to your operations.
Deployment timelines depend on the complexity of your data model, integration needs, and migration volume. Most organizations can expect a production-ready ms dataverse environment in as little as 4 to 8 weeks for standard projects, with larger or highly regulated environments requiring additional planning. Predictable cost models and transparent milestones keep your project on track and aligned with your operational needs.
This ms dataverse service stands out due to proven experience with public-sector modernization, Microsoft AI Cloud Partner status, and a technology-agnostic approach. You benefit from: