Microsoft Partnership for Modern Digital Transformation
DGL works with Microsoft technologies to help organizations modernize operations, improve collaboration, strengthen security, accelerate cloud adoption, and support scalable digital transformation initiatives.
Connected Microsoft Stack
Azure
Microsoft 365
Business Apps
Security
A practical partnership model for cloud platforms, collaboration, governance, automation, data, and managed Microsoft service continuity.
A governed Microsoft environment, not a collection of licenses.
The partnership work centers on making Microsoft cloud, workplace, application, security, and data services easier to adopt, manage, and extend.
Architecture, environments, identity, integration, and data choices become visible and reusable.
Teams receive practical structures for collaboration, workflow, reporting, security, and support.
Roadmaps stay aligned as Microsoft services, business priorities, and operating risks change.
DGL helps organizations use Microsoft as a connected enterprise capability across cloud, collaboration, automation, insight, and security.
Partner-led modernizationCreate a shared operating layer for Microsoft transformation.
Value increases when the Microsoft estate has a clear relationship between business demand, platform standards, user adoption, and service ownership.
Prioritized workflows, adoption needs, reporting gaps, and modernization cases.
Reusable guardrails for cloud, apps, identity, environments, data, and releases.
Clear responsibilities for support, governance, monitoring, cost, and improvement.
Usage, productivity, security, satisfaction, reliability, and value indicators.
Modernize Azure foundations with operating discipline built in.
DGL helps teams classify workloads, plan migration, strengthen identity, manage environments, and improve resilience without turning cloud change into a disconnected infrastructure exercise.
Dependencies, sensitivity, performance, integration, and migration sequencing.
Network, backup, resilience, identity, monitoring, and service controls.
Application links, data flows, automation triggers, and operating handoffs.
Usage, cost, reliability, security posture, and continuous service tuning.
Plan the ecosystem as connected services, not isolated products.
A balanced ecosystem view makes dependencies visible between cloud foundations, workplace tools, business platforms, security controls, data services, and AI enablement.
Cloud, work, apps, and insight mapped together.
Identity, data, and release controls applied consistently.
Make Microsoft 365 easier to use, govern, and scale.
Collaboration value improves when teams have clear workspaces, document structures, ownership models, and adoption routines.
Channel structures, meeting routines, service groups, and collaboration etiquette.
Intranets, document libraries, metadata, permissions, and knowledge access.
Approvals, requests, handoffs, reminders, and status visibility.
Role design, privileged access, conditional access, and guest controls.
Retention, classification, document handling, and audit readiness.
Environment strategy, connector policies, release controls, and monitoring.
Strengthen controls without slowing delivery.
Microsoft environments need security models that teams can understand and operate across identity, access, information protection, compliance, and platform governance.
Prepare Microsoft data foundations for better decisions and automation.
DGL helps connect data sources, reporting needs, governance, and AI-ready use cases so insight becomes part of daily operations.
Common definitions, source mapping, quality checks, ownership, and access rules.
Power BI dashboards, operational measures, leadership reporting, and action triggers.
Copilot readiness, automation candidates, prompt routines, risk controls, and adoption support.
Move from architecture intent to adopted capability.
Review platforms, users, controls, and priorities.
Define architecture, governance, waves, and outcomes.
Configure, migrate, integrate, automate, and validate.
Support adoption, monitor usage, and optimize costs.
Measure the partnership through platform value and business adoption.
Modernization: fewer legacy constraints, cleaner integrations, and scalable cloud environments.
Productivity: stronger collaboration, faster approvals, better knowledge access, and less duplicated work.
Security: clearer access controls, governance routines, compliance visibility, and risk reduction.
Insight: useful reporting, trusted data, AI readiness, and better decision support.
Resilience: improved service continuity, monitoring, backup posture, and operational support.
Value control: stronger license usage, cloud cost visibility, reusable standards, and roadmap discipline.
Keep Microsoft services aligned as business needs evolve.
The partnership model keeps roadmap decisions, support expectations, and optimization work connected over time.
Priorities, standards, investment sequencing, and risk review.
- Maintain decision logs and ownership checkpoints.
- Review roadmap dependencies before each delivery wave.
Release planning, service improvement, incident learning, and user guidance.
- Track recurring issues and support readiness actions.
- Coordinate updates with adoption and training needs.
Usage insight, cost control, adoption measures, and maturity planning.
- Identify underused services and license improvements.
- Prioritize automation and reporting refinements.
Choose the Microsoft capability your organization needs to mature next.
Start with a focused review across cloud, workplace, data, security, applications, and automation, then shape a practical roadmap for delivery.
Assess the current Microsoft estate and priority business workflows.
Prioritize the first capability with the clearest adoption and value path.
Mobilize delivery ownership, governance, support, and measurement.