MICROSOFT BUSINESS SOLUTIONS 06 / 10

Microsoft Dataverse Solutions.

Structure business data for Power Apps, Power Automate, Dynamics 365 and connected Microsoft business solutions using Microsoft Dataverse.

Relational Data Business Logic Security Roles Power Platform
Discuss Your Dataverse Solution
01
STRUCTURE Centralized Business Data
02
RELATIONSHIPS Connected Data Model
03
ACCESS Role-Based Security
04
PLATFORM Power Platform Integration
01

OVERVIEW

Build business applications on a structured data foundation.

Business applications become difficult to manage when important data is scattered across spreadsheets, disconnected lists and separate systems.

Microsoft Dataverse provides a structured data platform for storing and managing business information used by Power Platform and compatible Microsoft business applications.

Incodiv Tech designs Dataverse solutions around your actual business entities, relationships, processes, user roles and application requirements.

From custom Power Apps to process automation and Dynamics 365 extensions, we help establish a data model that supports the solution rather than simply reproducing an existing spreadsheet structure.

02

DATAVERSE CAPABILITIES

Design data around how your business works.

01

Custom Tables

Design Dataverse tables for customers, requests, projects, assets, transactions and other business entities.

02

Table Relationships

Connect related business information through appropriate one-to-many, many-to-one and many-to-many relationships.

03

Columns & Choices

Configure relevant data types, choice fields, lookups and business-specific information.

04

Security Roles

Configure role-based access according to the application and organizational requirements.

05

Business Rules

Apply supported business rules and validation behavior to relevant data and application scenarios.

06

Power Apps Integration

Use Dataverse as a structured data source for canvas apps and model-driven applications.

07

Power Automate Integration

Trigger and manage automated processes around Dataverse records and business events.

08

Model-Driven Applications

Build data-focused business applications using Dataverse and Power Apps model-driven capabilities.

09

Data Migration

Plan and move relevant existing business data into a structured Dataverse solution.

10

System Integration

Connect Dataverse with supported Microsoft services, APIs and external business systems where required.

11

Reporting Integration

Use Dataverse data within relevant reporting and analytics scenarios, including Power BI.

12

Solution Architecture

Structure tables, applications, automation and integrations as part of a connected Power Platform solution.

03

BUSINESS CHALLENGES

When business data becomes difficult to control.

Spreadsheet Dependency

Critical business data is maintained across multiple spreadsheets with inconsistent structures.

Duplicate Information

The same customer, project or transaction data is entered repeatedly across different systems.

Disconnected Records

Related business information cannot easily be connected or viewed as part of one process.

Complex Access Needs

Different teams need different levels of access to business information and application functions.

Manual Data Handoffs

Employees manually move information between forms, applications, spreadsheets and workflows.

Apps Built in Isolation

Multiple business apps operate independently instead of working from a connected data structure.

04

DATA MODEL

Connect business entities instead of storing isolated rows.

A Dataverse solution can represent real business relationships between customers, projects, transactions, employees, suppliers, requests and other operational information.

We design the underlying data model according to the information your applications need and how those records relate to each other.

TABLE Customer
RELATED TABLE Project
RELATED TABLE Transaction
RELATED TABLE Request
05

STRUCTURED BUSINESS DATA

Move beyond disconnected spreadsheets.

BEFORE

Spreadsheet-Based Process

  • Multiple copies of business data
  • Manual record relationships
  • Repetitive data entry
  • Difficult application integration
  • Limited process structure
  • Harder to maintain growing datasets
DATAVERSE

Structured Business Data

  • Defined business tables
  • Connected record relationships
  • Reusable data across applications
  • Power Platform integration
  • Business rules and process logic
  • Role-based application access
06

POWER APPS + DATAVERSE

Build applications around connected business data.

Dataverse can provide the underlying data structure for sophisticated Power Apps solutions.

Canvas apps can use Dataverse as a data source while model-driven applications are built around the Dataverse data model.

Canvas Apps Flexible user experiences connected to structured Dataverse data.
Model-Driven Apps Data-focused business applications built around Dataverse tables and relationships.
Process Apps Applications designed around structured operational processes and records.
Internal Systems Business applications for departments, operations and internal teams.
Explore Power Apps Development
07

PROCESS AUTOMATION

Automate what happens around your data.

01

Record Created

A request, transaction or business record is created or updated.

02

Logic Evaluated

Business conditions determine what should happen next in the process.

03

Workflow Runs

Power Automate performs the configured workflow actions.

04

Teams Respond

Relevant users receive updates, tasks or other workflow outputs.

DATAVERSE
Management
Operations
Approvers
Users
Role-Based Access Design
08

ACCESS & SECURITY

Align data access with business responsibilities.

Dataverse provides security capabilities that can be configured around users, teams, roles and application requirements.

We plan application access based on who needs to view, create, update or manage relevant business data. The final design depends on the organizational structure, solution architecture and Microsoft environment.

09

BUSINESS USE CASES

Dataverse for connected business systems.

01

Customer Management

Structure customer profiles, activities, related records and business interactions.

02

Request Management

Manage internal requests, statuses, approvals and process-related information.

03

Project Management

Connect projects with customers, activities, resources and related operational records.

04

Asset Management

Maintain structured asset records, assignments, status information and related activities.

05

Supplier Management

Organize supplier information and relevant procurement-related business records.

06

Inspection Systems

Store inspection records, findings, actions and associated operational information.

07

Service Requests

Track internal or customer service requests with status and related records.

08

Employee Processes

Support structured employee requests and internal departmental workflows.

10

CONNECTED ECOSYSTEM

Connect Dataverse across your Microsoft business environment.

MICROSOFT Dataverse
Power Apps Business Applications
Power Automate Workflow Automation
Power BI Reporting & Analytics
Dynamics 365 Business Applications
Microsoft Teams Collaboration Scenarios
APIs External Integrations
11

PLATFORM SELECTION

Dataverse or SharePoint? Choose based on the solution.

CONSIDER

Microsoft Dataverse

Dataverse can be appropriate when the application requires a more structured relational data model, Power Platform integration and business application capabilities.

  • Multiple related business entities
  • Model-driven applications
  • Structured security requirements
  • Complex Power Platform solutions
  • Dynamics 365-related scenarios
CONSIDER

SharePoint

SharePoint lists may be suitable for many collaboration-oriented and comparatively simpler business scenarios already centered on Microsoft 365.

  • Microsoft 365-centric processes
  • Lists and document-based workflows
  • Team collaboration scenarios
  • Simpler data structures
  • SharePoint-based solutions

The appropriate data platform depends on application complexity, relationships, integration requirements, security model, expected usage and Microsoft licensing. We assess these factors before recommending an architecture.

12

DATA MIGRATION

Move existing data into a better business structure.

Existing data may come from Excel files, SharePoint lists, legacy applications, SQL databases or other business systems.

A migration should not simply copy old data problems into a new platform. We first review the source data, target structure, relationships and transformation requirements.

Excel
SharePoint
SQL
Legacy Systems
REVIEW TRANSFORM
TARGET Microsoft Dataverse
13

OUR PROCESS

From business requirements to structured data architecture.

01 DISCOVER

Understand the Process

Review business entities, existing data, applications, workflows and user requirements.

02 MODEL

Design the Data Structure

Define tables, relationships, columns and the information architecture required by the solution.

03 CONFIGURE

Build Dataverse

Configure the agreed Dataverse components and relevant application access.

04 CONNECT

Integrate Apps & Workflows

Connect Power Apps, Power Automate and other required solution components.

05 VALIDATE

Test the Solution

Validate data behavior, application scenarios, workflows and relevant user access.

06 EVOLVE

Improve as Needs Change

Extend the solution as new processes, applications and data requirements emerge.

14

MICROSOFT TECHNOLOGY

Built within the Microsoft ecosystem.

Microsoft Dataverse Power Apps Power Automate Dynamics 365 Microsoft 365 SharePoint Online Microsoft Teams Power BI SQL Server REST APIs Microsoft Entra ID Power Platform
15

WHY INCODIV TECH

Dataverse designed around the complete business solution.

01

Business-First Data Design

We model data around actual business entities, processes and application requirements.

02

Power Platform Experience

Dataverse is planned together with Power Apps, Power Automate and connected Microsoft services.

03

Integration Mindset

We consider how data needs to move between applications, workflows and reporting.

04

Practical Architecture

We avoid unnecessary complexity and select architecture according to the actual use case.

05

Application-Focused

The data model is designed to support usable applications rather than existing independently.

06

Future Extension

The solution can be structured so additional applications and processes can be considered as business requirements evolve.

17

FREQUENTLY ASKED QUESTIONS

Microsoft Dataverse questions.

What is Microsoft Dataverse?

Microsoft Dataverse is a cloud-based data platform used by Microsoft Power Platform and compatible business applications to store and manage structured business data.

Is Dataverse a database?

Dataverse provides structured data storage together with platform capabilities such as tables, relationships, business logic, security and integration with Power Platform. It is designed as a business data platform rather than simply exposing a traditional database directly to users.

Can Power Apps use Dataverse?

Yes. Dataverse can be used with Power Apps, including canvas apps and model-driven applications, depending on the solution requirements and licensing.

Can Power Automate work with Dataverse?

Yes. Power Automate can be used to create workflows around Dataverse data and events, subject to the capabilities and licensing available in your Microsoft environment.

Should we use Dataverse or SharePoint Lists?

It depends on the application. Dataverse can be useful for structured relational business applications, while SharePoint Lists can be suitable for many Microsoft 365-centric and comparatively simpler scenarios. We evaluate data complexity, security, integrations, expected usage and licensing before recommending an approach.

Can existing Excel data be moved to Dataverse?

Existing data can often be prepared and migrated into Dataverse. The migration approach depends on the quality, volume, structure and relationships within the existing data.

Does Dataverse require additional licensing?

Licensing depends on the applications, connectors, Dataverse usage, user scenarios and Microsoft plans involved. Licensing requirements should be reviewed against the current Microsoft licensing terms for the proposed solution.

Can Dataverse connect with external systems?

Yes, integration options are available for many scenarios through Power Platform connectors, APIs and other supported integration approaches. The appropriate method depends on the external system and technical requirements.

BUILDING A POWER PLATFORM SOLUTION?

Give your business apps a structured data foundation.

Tell us about your existing data, applications and business processes. We can help assess whether Microsoft Dataverse fits your Power Platform solution and design the required data structure.
Discuss Your Dataverse Project
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