Platforms > Microsoft Dataverse

Microsoft Dataverse Consulting

Alphabyte is a Dataverse consulting firm. We design Microsoft Dataverse environments, move your data out of spreadsheets, SharePoint lists and older systems, and build the apps, workflows and Power BI reports that run on top, so your teams work from one secure, well-structured source of business data.

We plan, build, secure and support each solution, then train your team to run and extend it.

Success Stories

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What We Do

Dataverse consulting services that give your Power Platform apps, workflows and reports one trusted data foundation.

Microsoft Dataverse is the data platform behind the Microsoft Power Platform. It stores business data in tables with relationships, business rules and built-in security, and it is the data layer for Dynamics 365 apps. Apps, automated flows and Power BI reports all connect to it, which makes it a natural home for data that several teams share.

Getting the structure right is where a Dataverse consultant helps. We design tables, relationships and security roles around your business logic, migrate data with care and connect Dataverse to Microsoft 365 tools and external systems. Then we build Power Apps on that foundation, automate the steps around it and connect Power BI for reporting.

For simple lists, SharePoint and Microsoft 365 can be enough, and some data belongs in a SQL database or data warehouse. We help you decide what goes where.

01

Dataverse Architecture & Design

Tables, relationships, naming and security models built around your business logic.

02

Data Migration

Data moved from spreadsheets, SQL databases and legacy systems with full validation.

03

SharePoint & Microsoft 365 Integration

SharePoint lists, libraries and Teams workflows kept in sync with Dataverse.

04

Power Platform Application Development

Power Apps on Dataverse for data entry, approvals and document management.

05

Power BI Integration & Analytics

Power BI reports on Dataverse with role-based security for each audience.

06

AI Builder & Document Processing

Invoices, purchase orders and forms read by AI Builder into Dataverse tables.

07

Workflow Automation with Power Automate

Flows that route approvals, send notifications and update records on Dataverse events.

08

Data Governance & Security

Table ownership, field-level security, audit logs and data quality rules.

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Our Approach

  • We catalogue your current data sources, volumes and integration needs, and review your Microsoft 365 environment and how data flows today. We talk to the people who enter and use the data. Discovery usually takes 1 to 2 weeks and ends with clear requirements for your Dataverse implementation.

  • We design the Dataverse environments, table schemas, relationships, data types and security model, plus the connection points to Power Apps, Azure Data Factory, SharePoint and external systems. You approve the data model before anything is built, because changing it later is far harder than getting it right at the start.

  • We configure tables, relationships and business rules, then design the Power Apps screens, Power Automate flows and Power BI reports that sit on top. Users see prototypes early, so feedback shapes the solution while it is still easy to change. A focused first release usually takes about 6 to 10 weeks.

  • We extract and reshape data from source systems with Azure Data Factory pipelines or Power Query, then load it into Dataverse. Every step is validated, with row counts and key records checked against the source, so the data your team relies on arrives complete and accurate before anyone starts using it.

  • We configure security roles, business unit hierarchies, field-level access and audit logging in Dataverse. We also set governance policies for naming conventions, table ownership and data quality standards, so new apps and tables added later follow the same rules and your data stays trusted as more teams use it.

  • We test integrations, permissions and real business scenarios end to end before launch, including smoke tests and validation with real data. Each security role is tested with the people who hold it. Issues are fixed and retested, so the first release works as intended for every type of user in your organization.

  • We run training sessions for users and administrators, suited to each role. You receive technical documentation covering the data model, integration logic, governance settings and troubleshooting steps. Administrators learn how tables, apps and flows fit together, so your team can make routine changes without waiting on us for every request.

  • We go live with a clear cutover plan and rollback procedure, then provide support to resolve early issues and monitor performance as adoption grows. After that we can stay on for new tables, apps and integrations, or hand day-to-day changes to your own team with documentation to match.

Your Dataverse Consulting Team

Alphabyte is a Microsoft Solutions Partner, founded in 2015, that has served 100+ organizations. Our Power Platform specialists, data engineers and report developers work as one team, so your data model, apps and reports are designed together from the start.

We have delivered Dataverse solutions ranging from departmental apps to organization-wide data foundations, including Azure data integration, AI Builder document processing and governance frameworks. Our team holds Microsoft certifications including Power Platform Developer Associate, Power Platform Functional Consultant Associate and Azure Solutions Architect Expert. See the full list on our certifications page.

We work with mid-market and enterprise organizations. Related services: custom software development, data integration services and business process improvement.

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Frequently Asked Questions

  • Microsoft Dataverse is a cloud data platform that is part of the Microsoft Power Platform. It stores business data in tables with relationships, business rules and role-based security, and it is the data layer behind Dynamics 365 apps. Power Apps, Power Automate and Power BI connect to it directly, so several apps can share the same trusted data instead of separate copies.

  • A Dataverse consultant designs how your business data is stored and secured in Dataverse. That means modelling tables and relationships, setting security roles, migrating existing data and connecting Dataverse to SharePoint, Microsoft 365 and external systems. At Alphabyte our consultants also build the Power Apps, flows and Power BI reports on top, and train your team to maintain them.

  • Most organizations look for Dataverse consulting when apps built on spreadsheets or SharePoint lists start to slow down, when several apps need the same data, or when security and audit requirements grow. Other common reasons are a move off a legacy database, or a first Dataverse build that has become hard to manage because nobody planned the data model.

  • Cost depends on the number of tables and apps, the volume and quality of data to migrate, the systems to integrate, and how detailed the security and governance rules need to be. Dataverse and Power Platform licence costs are billed separately by Microsoft. We scope the work with you after discovery and often recommend a focused first release, so you see value early.

  • SharePoint lists work well for simple data and small teams already working in Microsoft 365. Dataverse suits data with many relationships, larger volumes, detailed security or business rules, and data shared by several apps. Many organizations start on SharePoint and move to Dataverse as needs grow. We review your data and recommend the right home for each part of it.

  • Dataverse is a managed business data platform with security, auditing and app integration built in, designed for the Power Platform and Dynamics 365. Azure SQL is a general-purpose relational database that suits custom applications, large analytical workloads and teams that want full control of the database. Some solutions use both. We help you decide where each type of data should live.

  • A focused first release usually takes about 6 to 10 weeks after a discovery phase of 1 to 2 weeks. That covers the data model, migration, security and the first apps or reports. Projects with many systems to integrate or large migrations take longer and are delivered in phases, so your team starts using the most important parts first.

  • Yes. We move data from spreadsheets, SharePoint lists, SQL databases and third-party platforms into Dataverse. We map each field, clean and reshape the data, and load it with Azure Data Factory pipelines or Power Query. Row counts and key records are checked against the source before cutover, so your team can trust what it finds on day one.

  • Yes. Power BI connects directly to Dataverse, so reports can show current operational data alongside other sources. We build semantic models with role-based security, so executives and operational teams each see the data they should. For heavier reporting we may recommend copying Dataverse data into a warehouse first, which keeps reports fast as volumes grow.

  • One in-house hire can suit steady work on a few apps. A consulting team covers data modelling, migration, security, integration, automation and training as well as the build, which helps when Dataverse becomes the shared foundation for several teams. Some clients use us to set up the foundation and governance, then hand routine changes to internal staff.

Learn More About Microsoft Dataverse

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