Modern Data Platforms
Build Unified Data Platforms
Design scalable data platforms that modernize analytics and AI foundations
What Modern Data Platforms Enable
Modern data platforms integrate data ingestion, storage, processing, analytics, and governance into a unified, cloud-native architecture.
Alletec helps you:
Alletec implemented a comprehensive Microsoft Fabric–based data platform for a large education and social impact foundation, consolidating data from 100+ legal entities into a unified Lakehouse architecture. Advanced data transformations using PySpark in Fabric Notebooks optimized data models, improved query performance, and automated refresh processes. This eliminated performance bottlenecks caused by Power BI reports directly querying D365 Business Central. With Direct Lake integration, the organization now benefits from high-performance, scalable, and reliable reporting, while offloading analytical workloads from operational systems and establishing a strong foundation for future AI-driven analytics.
Our Data Platform Challenges
Organizations built their data infrastructure in layers over time. Systems were added over time to solve individual problems which resulted in complexity. It approach slows data platform modernization.
Break down fragmented data architectures
Replace disconnected warehouses, lakes, pipelines, and BI tools with a unified platform.
Restore trust in enterprise data
Establish consistent definitions, governed access, and lineage so teams work from the same data.
Move beyond batch-only decision making
Enable real-time and operational analytics without rebuilding your entire data stack.
Take AI beyond experimentation
Prepare data that is reliable, governed, and accessible for production analytics and AI workloads.
Our Modern Data Platform Services
Data Integration & Migration
Unify data from legacy systems, on-premises databases, cloud sources, and IoT devices. Using automated pipelines, we move and transform this data in the cloud, handling both scheduled batch loads and real-time streams.
Faster consolidation of enterprise data across systems
Reduced manual data movement and integration effort
Real-time visibility from event and IoT data streams
Data Pipeline Development
Automate ETL and ELT workflows for batch and real-time data processing. Build resilient, monitored pipelines with data quality checks, error handling, and automated recovery.
Faster data refresh cycles
Improved pipeline reliability
Reduced operational risk from manual processes
Data Storage & Lakehouse
Design and implement scalable lakehouse architectures on OneLake as part of a unified modern data platform architecture. We create high-performance data warehouses and lakehouses in Microsoft Fabric optimized for cost, performance, and shared access.
Single copy of data for all workloads
Lower storage and data duplication costs
Improved query performance across analytics use cases
Data Governance & Quality
Embed data quality and security controls directly into the platform. Implement lineage tracking, role-based access, and audit readiness using Microsoft Purview and Azure services.
Improved trust in enterprise data
Audit-ready compliance posture
Secure self-service access for business users
Analytics & AI Enablement
Prepare governed data for analytics and AI. Build semantic layers and data models that support business intelligence, machine learning, and AI workloads on the same platform.
Faster analytics and AI deployment
Reduced duplication between BI and AI teams
Consistent data foundation across analytics use cases
Analytics & AI Enablement Architecture & Strategy
Assess data maturity and define a clear modernization roadmap. Design cloud data architectures, landing zones, and platform patterns. These are aligned to compliance, scalability, and performance needs.
Clear modernization path with reduced risk
Aligned investment and business priorities
Realistic timelines for platform transformation
Is your data ready for AI success?
Take the self-assessment to see your data maturity score and uncover how close your organization is to being AI-ready
“The Microsoft Fabric Data Platform has transformed our reporting and analytics. We no longer face ERP refresh limitations and now have real-time insights across systems. This foundation positions us to leverage AI and advanced analytics for future community impact.”Kerry Bird, CEO, One FoundationRead Full Case Study
Industries We Support
Retail and E-Commerce
Customer, inventory, and digital channel data come together on a unified platform. Lets teams have a consistent view of how customers browse and interact across channels. With data updated in near real time, marketing, merchandising, and operations can respond faster and plan with confidence.
Customer, inventory, and digital channel data come together on a unified platform. Lets teams have a consistent view of how customers browse and interact across channels. With data updated in near real time, marketing, merchandising, and operations can respond faster and plan with confidence.
The Modern Data Platform Advantage
Modern data platforms have changed how data is used and trusted across the enterprise.
What organizations experience
- Faster insights driven by unified, near real-time data
- More agile decision making across business and operations
- Less time spent reconciling reports and data discrepancies
How teams benefit
- Manufacturing teams gain real-time visibility into production and demand
- Finance teams close books faster with continuously updated reporting
- Business leaders act on current data instead of waiting for manual updates
What changes operationally
- Secure self-service access to trusted data across teams
- Governance, security, and lineage enforced by the platform
- Analytics and AI scale without duplicating data or pipelines
The organizational shift
- IT teams move away from fulfilling individual data requests
- Teams focus on architecting and stewarding the data platform
- The organization operates faster and with greater confidence
Why Alletec
Microsoft Platform Expertise
- Microsoft Solutions Partner for Data and AI
- Fabric-first delivery model built on Microsoft’s unified analytics platform
- Certified expertise across Azure Data Engineering, Fabric Analytics Engineering, and Solution Architecture
- Hands-on experience designing and operating platforms using Microsoft Fabric, OneLake, Purview, and Azure data services
Enterprise Systems Heritage
- Strong background integrating the business systems that generate enterprise data
- Deep experience across manufacturing, financial services, healthcare, and professional services
- Proven track record with Dynamics 365, ERP platforms, and industry-specific systems
- Ability to connect complex, legacy, and on-premises data sources into modern platforms
Production-Grade Platform Approach
- Focus on reliability, scalability, and long-term platform operations
- Design for governance, monitoring, and operational resilience from day one
- Not just implementation. We help organizations depend on their data platforms
- Engineering rigor with automation, testing, and operational readiness built in
Integrated Capability Across the Data Stack
- Seamless alignment between data engineering, analytics, and AI workloads
- End-to-end delivery from platform strategy and architecture to ongoing operations
- Native integration with Power BI, Azure AI and ML, and business applications
- Flexible engagement models including implementation, optimization, and managed services
Get Started
Not every organization needs the same starting point. Some need clarity while others might want speed! We support both.
Platform Readiness Assessment
- A clear view of your current data landscape
- Identification of gaps against modern data platform capabilities
- High-level architecture direction, including Fabric and Azure services
- An honest estimate of migration complexity and timelines
- Early view of TCO and ROI to support internal decision making
- No obligation to move forward
Fabric Quick Start Implementation
- Core Microsoft Fabric environment set up and configured
- One priority use case delivered end to end
- Baseline governance and security in place
- Data pipelines for key source systems
- Power BI integration with sample dashboards
- Hands-on training and knowledge transfer
- A platform foundation that is ready to expand
Got questions about Modern Data Platforms? Check out our FAQs for best answers
A modern data platform is a unified, cloud-native system that brings together data ingestion, storage, processing, analytics, governance, and security on a single foundation.
Instead of managing separate warehouses, data lakes, pipelines, and BI tools, a modern platform enables organizations to work with one trusted, governed version of data across analytics and AI use cases.
Modern data platforms are designed to support both batch and real-time data, scale with business growth, and enforce governance by design rather than as an afterthought.