Modern Cloud Operations & Governance
Frontier Workforce Enablement
AI Business & Process Development
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Build and secure your Azure cloud environment using a proven Well Architected Framework approach incorporating Zero Trust principles.
Migrate data & apps from on-premise facilities to the Microsoft Cloud, transition between Azure or Microsoft 365 cloud tenants, integrate and/or separate IT environments to support M&A or divestiture requirements.
Streamline IT operations with ServiceNow ITSM, ITOM, and automation — fully integrated with your Microsoft environment.
Classify, protect, and manage enterprise data across Microsoft 365, Azure and on-premise environments using Microsoft Purview services ranging from data cataloging to AI data security.
Manage identities, secure devices, and control application access with Microsoft Intune, Entra, and Defender for Endpoint.
Optimize how your teams create, collaborate, and communicate with Microsoft 365, SharePoint, Teams, and Exchange.
Enable your organization to optimize the use of Copilot and AI responsibly and become a Frontier Firm.
Unify and operationalize your data with Microsoft Fabric, OneLake, and Power BI to turn raw data into trusted business insights.
Modernize workflows and build intelligent solutions with Power Platform, Copilot Studio, process automation, and custom app development.
Develop practical AI solutions on Azure — from AI strategy and generative AI assistants to custom AI applications, predictive ML models and MLOps.
Future-forward solutions optimize supply chains, improve operational efficiency, and identify new revenue streams.
Concurrency harnesses cutting-edge artificial intelligence to help FinServ firms be more successful in getting their customers superior results.
Even businesses that focus on technology solutions benefit from partners who are experts in implementing it strategically and intelligently for enterprise-wide efficiencies and cost savings.
Successful retail operations extend beyond store shelves with leaders orchestrating a complex system of warehouses, digital properties, transportation, suppliers, raw materials, and more.
Concurrency bolsters IT teams in healthcare to lead technology transitions while optimizing for efficiencies and cost.
Concurrency experts strengthen energy and utility companies in designing secure IT environments to address customer needs.
Delivering the Future – Build on Azure
Unprecedented Business Results
AI Agents Transform HR and Legal Operations for Leading Manufacturing Company
Scaling with Responsible AI
Top 5 AI Concerns and How to Mitigate Them Responsibly
Possibilities are limitless. Concurrency executives take you beyond what’s happening to what it means for tomorrow.
Concurrency is creating positive outcomes in our local communities and educating digitally across the globe. Join us on this journey.
Technology moves fast. Get up to speed on the terms, concepts, and language that shape the work we do and the industry we’re in.
We’re curious, collaborative, and committed. Learn and get inspired to affect change for maximum impact.
Track our transformation in real time as we add to Concurrency’s in-house expertise and the tech industry recognizes our work with clients.
We’re inquisitive, cooperative, and unwaveringly dedicated. Explore and find inspiration in our case studies, showcasing how we’ve driven transformative change for optimal outcomes.
Exploring Beyond Today, Shaping Tomorrow’s Success
Unlock AI’s Potential
Wisconsin Emerges as Tech and Manufacturing Powerhouse: Concurrency, Microsoft’s Top AI Partner, Leads the Charge Toward Innovation
Using Microsoft Dynamics 365 to Deliver Better Services
Wealth Manager Leverages Custom Dynamics 365 Applications to Deliver a Better Customer Experience
What’s New With Concurrency
Top Microsoft Partner
Top Workplaces 2024
Continued Commitment to Employee Satisfaction and Positive Workplace Culture Leads to Fifth Win
Discover Our Story
Hear What Our Team Says
Employee Testimonials at Concurrency
Meet Our Partners
Explore Our Valued Partnerships
An integrated set of technologies, processes, and practices that transform raw business data into meaningful insights through reporting, dashboards, data visualization, and self-service analytics. BI platforms enable business users to monitor KPIs, identify trends, and make data-driven decisions, serving as the analytical layer that sits between an organization’s data infrastructure and its decision-makers. Continue reading
A centralized, searchable inventory that helps organizations discover, understand, classify, and govern their data assets across systems and environments. A data catalog stores metadata including data lineage, ownership, quality scores, and sensitivity classifications—enabling data consumers to find trustworthy data quickly and enabling data stewards to enforce governance policies at scale. Continue reading
The set of organizational policies, processes, standards, roles, and technologies that manage data assets to ensure they are accurate, consistent, secure, compliant, and trustworthy throughout their lifecycle. Effective data governance defines who owns data, how it’s classified, where it resides, how long it’s retained, and who can access it, creating the foundation for reliable analytics,… Continue reading
A modern data architecture that unifies the scalability and cost-effectiveness of a data lake with the structured query performance, ACID transactions, and schema enforcement of a data warehouse. The lakehouse pattern, implemented through platforms like Microsoft Fabric and Delta Lake, enables organizations to run both exploratory analytics and production BI workloads against a single data… Continue reading
The processes and policies governing how organizational data is created, stored, used, archived, and ultimately deleted throughout its useful life. Data lifecycle management encompasses retention schedules, legal hold procedures, storage tiering for cost optimization, and automated deletion workflows, helping organizations stay compliant with regulations like GDPR and HIPAA while reducing storage overhead. Continue reading
Data integration patterns used to move and prepare data from source systems into analytics platforms. ETL (Extract, Transform, Load) applies transformations before loading data into a destination warehouse; ELT (Extract, Load, Transform) loads raw data first and transforms it within the target platform, a model favored by cloud-scale environments like Microsoft Fabric where compute is… Continue reading
A unified, end-to-end analytics platform from Microsoft that integrates data engineering, data science, real-time intelligence, data warehousing, and business intelligence capabilities into a single SaaS experience. Built on OneLake as its shared storage foundation and licensed through a single Fabric capacity, the platform eliminates the complexity of managing disparate analytics tools and enables organizations to… Continue reading
The unified, multi-cloud data lake storage layer at the foundation of Microsoft Fabric that provides a single, governed repository for all organizational data—structured, semi-structured, and unstructured. OneLake uses a hierarchical namespace (organized by workspace and item) and supports open data formats like Delta and Parquet, enabling all Fabric workloads, data engineering, data science, real-time analytics,… Continue reading
The capability to ingest, process, and analyze data streams as they are generated, with latency measured in milliseconds to seconds, to surface insights, trigger automated actions, or update dashboards without waiting for scheduled batch processes. Real-time analytics is enabled by event streaming technologies like Azure Event Hubs and Kafka, and is essential for use cases… Continue reading
A structured business intelligence layer, built in tools like Power BI or Microsoft Fabric, that defines the relationships, hierarchies, measures, and business logic governing how data is aggregated and interpreted for reporting and analysis. Semantic models serve as a single source of truth for business metrics, ensuring that terms like ‘revenue’ or ‘active customers’ are… Continue reading
