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Make Faster, More Confident Decisions From the Data You Already Have

We help data-rich organizations turn fragmented data into trusted insight by building modern data platforms and responsible AI on Microsoft Fabric, Power BI, and Azure AI Foundry — so every data investment delivers measurable ROI.

Assess Your Data Readiness

Discover Azure Analytics Solutions

Data Platform Modernization

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Disconnected, aging systems make it difficult to access trusted data, increase costs, and limit your ability to act on insights. We help unify and migrate your data into a secure, cloud-based platform with built-in governance, giving you faster reporting, improved performance, and a scalable foundation to support analytics, automation, and future growth.

Analytics & Visualization

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When reporting is inconsistent and data is spread across systems, teams struggle to trust insights or make timely decisions. We bring your data together with governed models, standardized KPIs, and intuitive dashboards, giving you a single source of truth, real-time visibility, and the confidence to act faster.

Data Engineering & Lakehouse

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Data spread across multiple systems and inconsistent quality make it difficult to produce reliable insights or move forward with advanced initiatives. By bringing your data together into a modern lakehouse with unified pipelines, built-in quality controls, and clear lineage, you create a trusted foundation that supports scalable analytics, streamlined operations, and more advanced use cases across the business.

Unlock AI Potential with Your Data

Integrate Your Data and Ecosystem

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When data and analytics tools operate in silos, it becomes difficult to maintain control, enforce governance, and keep initiatives moving efficiently. By unifying your data and analytics into a single, open platform, you gain greater visibility and control, reduce complexity, and create a more streamlined ecosystem that supports innovation and long-term growth.

Leverage AI to Enhance Data Insights

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Relying on traditional analytics often means waiting on specialists or moving data between systems, which slows down insight and limits who can effectively use it. By enabling natural language access to your data where it already lives, you empower more users to explore, understand, and act on information faster, without added complexity or technical barriers.

Empower Analytics & Insight Generation

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When reporting is centralized and slow, teams are left waiting on insights and miss opportunities to act. By enabling self-service analytics with near real-time visibility, you give users direct access to the data they need, helping them make faster decisions, uncover new opportunities, and drive growth with greater agility.

Govern and Secure Data Seamlessly

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Balancing data access with security often forces tradeoffs, limiting how effectively teams can use information while still trying to protect it. By applying layered governance and built-in security controls, you can give the right people access to the data they need while maintaining full protection, reducing risk, and enabling faster, more confident use of your data.

 

AI-Powered Innovation Starts Here

View Our Marketplace Offerings:

Advanced Power BI Jump Start with Training

Advanced Power BI Jump Start w/ Training: 3-Wk POC

During the 3 week engagement, you will receive a technical requirements document, completed tenant configuration, a Power BI POC using your data, which will include a dataset, report and dashboard. Finally, we will conclude the engagement with advanced training and high level roadmap. The engagement will be followed-up in 4 weeks with a health check on user adoption, enhancements and assistance with your Power BI environment.

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Azure Architect as a Service

Your business’ needs fluctuate, but you don’t have the budget or personnel in place to meet those requirements. How do you fill the gaps? Covenant’s Architect as a Service elevates your team with the expert knowledge, resources, and structure you need to meet your BI goals while saving your IT budget. An expert architect will provide you with tactical and strategic assistance in an advisory role leveraging the latest Azure Synapse Analytics, Azure Machine Learning, Azure Cognitive Services, and Power BI capabilities.

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Analytics Jump Start

A modern Data Analytics platform is modular and built for rapid development and value-based results; the transition however can seem overwhelming. To ease the move to a modern Data Analytics platform, Covenant has created an “Analytics Jump Start” engagement. This program is a 4-week project that is designed to help an organization in high-level discovery and planning efforts learn how analytics can transform their business, and what concepts must be understood to do more with their data.

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Microsoft Fabric Workshop

Microsoft & Covenant Technology Partners: Fabric Analyst in a Day Workshop: 8 hours

In today’s data-driven world, organizations are confronted with escalating demands for data and the complexities of analytics challenges. Our partnership with Microsoft allows us to bring you a solution that accelerates the value derived from your data. We enable Data Analysts to utilize Microsoft Fabric, breaking down data silos and unifying disparate data sources. Microsoft Fabric facilitates the creation of enriched, impactful Power BI dashboards and reports. By leveraging this powerful tool, you can scale your analytics, reduce costs, and optimize your existing data management practices within a governed and secure framework, all while capitalizing on the innovative products and services developed by Microsoft.

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Client Case Studies

 

Data and AI Blogs

Data and AI FAQs

What is a modern data platform, and why does it matter?

A modern data platform brings together information from multiple business systems into a centralized, governed environment. This helps organizations improve reporting, reduce manual data preparation, and create a trusted foundation for analytics, automation, and AI initiatives.

How does Microsoft Fabric support data and analytics initiatives?

Microsoft Fabric unifies data integration, engineering, analytics, and reporting capabilities in a single platform. By reducing data silos and simplifying management, organizations can access insights faster while maintaining governance and security across their data estate.

What role does data quality play in AI success?

AI outcomes are only as reliable as the data behind them. Establishing data governance, maintaining accurate records, and creating consistent business definitions helps ensure AI-generated insights are trustworthy and actionable.

How can organizations prepare their data for AI?

Preparing data for AI starts with understanding where data resides, improving data quality, establishing governance policies, and creating consistent reporting standards. A strong data foundation enables AI solutions to deliver more relevant and accurate results.

What are data management softwares used for?

Data management softwares help organizations collect, organize, secure, and govern data from multiple sources. These tools support reporting, analytics, compliance initiatives, and AI workloads by ensuring data remains accessible, accurate, and well-managed across the business.

How can AI help business users access information more efficiently?

Modern AI tools can allow users to ask questions in natural language, explore data faster, and uncover trends without needing advanced technical skills. This helps teams make informed decisions while reducing dependence on manual reporting processes.

What should organizations consider when evaluating AI technology services?

Organizations should evaluate data readiness, governance requirements, security controls, business objectives, and long-term scalability. Successful AI initiatives typically begin with clearly defined use cases and a trusted data foundation.

How do AI and analytics work together?

Analytics helps organizations understand what has happened and why, while AI can help identify patterns, predict outcomes, and generate recommendations. When combined, they enable faster decision-making and deeper insights across business operations.

What should businesses look for when comparing AI technology companies?

Organizations should consider industry experience, governance practices, technical expertise, data strategy capabilities, and experience with platforms such as Microsoft Fabric, Power BI, and Azure. Alignment with business goals is often more important than the technology itself.

Is AI only valuable for large enterprises?

No. Many organizations of different sizes are finding practical uses for AI for business, including reporting automation, forecasting, knowledge management, customer insights, and operational efficiency improvements.

How can organizations use AI responsibly?

Responsible AI begins with strong governance, transparency, security, and human oversight. Organizations should establish clear policies for data access, model usage, and validation of AI-generated outputs before deploying solutions at scale.

What are common examples of AI for companies?

Common use cases include improving reporting and analytics, automating repetitive processes, enhancing customer experiences, supporting decision-making, forecasting business performance, and enabling employees to interact with business data through conversational experiences.

SOLUTIONS MADE FOR YOU

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Increase your business’s competitive advantage in the marketplace by letting our highly experienced team design and implement cost-effective, highly scalable solutions to optimize your business processes. Whether you need integration to existing systems or an entirely new system, our exceptional capabilities will truly ensure that your success is our success.

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