Turn Fragmented Data into Enterprise Intelligence
YuniQ helps organizations migrate, unify, govern, and activate their data with Microsoft Fabric. From legacy on-premises data lakes to PEGA, Salesforce, telephony, and third-party platforms, we create one trusted analytics foundation that turns every signal into a clearer decision.
Microsoft Fabric
OneLake Unified Data PlaneYour Data is Already Creating Value. The Challenge is Connecting It.
Critical enterprise data is split across legacy on-premises lakes, CRMs, case management engines, contact-center telephony, and partner databases. Each system answers part of the question—leaders need the complete picture.
Siloed Customer & Operational Data
Teams spend costly hours manually reconciling contradictory extracts across systems instead of improving client service, patient care, and operating performance.
Slow, Brittle Data Pipelines
Legacy integration scripts and monolithic ETL architectures make pipeline modifications expensive, fragile, and prone to breaking downstream reporting.
Conflicting Business Metrics
Independent datasets, unaligned calculation logic, and siloed spreadsheets generate competing definitions of revenue, customer health, and performance.
Analytics Without Action
Static executive dashboards explain historical events after the fact, but operational teams still lack the real-time context needed to make next-best decisions.
From Platform Strategy to Production Intelligence
Hands-on implementation across every tier of the Microsoft Fabric lifecycle—combining architecture, engineering, security, and analytics into cohesive business capabilities.
Fabric Strategy & Readiness
Assess your current data estate, prioritize high-ROI use cases, evaluate Fabric F-capacity requirements, and architect a secure adoption roadmap.
- Current-state platform & workload diagnostic
- Use-case value mapping & ROI prioritization
- Fabric capacity planning & workspace topology
- Security, governance & operating-model design
- Proof of concept and pilot scoping
Legacy Data Lake Migration
Modernize on-premises and fragmented data estates (e.g. Kylo, Hadoop) through phased migration waves that safeguard critical reporting.
- Kylo & legacy on-premises lake discovery
- Pipeline, dependency & data-flow mapping
- Workload rationalization & migration waves
- Historical data transfer & automated reconciliation
- Parallel run validation & legacy retirement
Data Integration & Engineering
Connect cloud, SaaS, on-premises, batch, API, file, and streaming sources into governed, high-throughput Fabric data products.
- Fabric Data Factory pipelines & dataflows
- Lakehouse & Data Warehouse implementation
- Apache Spark notebooks & Delta frameworks
- PEGA, Salesforce & telephony API integration
- Data quality observability & exception handling
OneLake & Data Architecture
Create a scalable foundational architecture leveraging domain workspaces, medallion layers (Bronze, Silver, Gold), and open Delta storage patterns.
- OneLake enterprise information architecture
- Bronze, Silver & Gold medallion data layers
- Lakehouse vs. Warehouse workload optimization
- Domain boundaries & OneLake shortcut design
- Semantic modeling & reusable business metrics
Governance, Security & DevOps
Build organizational trust and operational control with granular access policies, end-to-end lineage, CI/CD deployment pipelines, and auditable logging.
- Microsoft Entra ID least-privilege role design
- Microsoft Purview integration & sensitivity labels
- End-to-end data lineage & ownership tracking
- Dev/Test/Prod separation & Git CI/CD pipelines
- Automated monitoring & capacity threshold alerts
Analytics, AI & Activation
Transform governed OneLake data into shared executive insight, predictive triggers, and operational action using Power BI and AI-ready data products.
- Executive & operational Power BI dashboards
- Certified Direct Lake semantic models
- Near-real-time streaming analytics
- Member/Patient, Customer & Service 360 views
- Copilot enablement & operational action alerts
Modernizing a Healthcare Data Foundation—From On-Premises Silos to Actionable Analytics
YuniQ helped a leading healthcare organization modernize its analytics foundation by executing a strategic migration from an on-premises Kylo data lake to Microsoft Fabric. The initiative unified complex data streams from PEGA case management, Salesforce CRM, telephony systems, third-party vendor platforms, and operational databases into a single, governed intelligence foundation.
The Core Enterprise Challenges
- Fragmented Ecosystem: Business-critical healthcare operations were distributed across legacy on-prem infrastructure and disparate SaaS platforms.
- Brittle Legacy Lake: Aging Kylo data-lake orchestration patterns made platform evolution slow, fragile, and difficult to maintain.
- Manual Reconciliation: Analytics teams spent days manually reconciling extracts across PEGA, Salesforce, and telephony before answering leadership inquiries.
- AI Readiness Gap: Operational reporting lacked a shared, governed semantic foundation capable of supporting advanced predictive modeling.
YuniQ's 6-Stage Modernization Approach
Multi-Stream Ingestion into OneLake Medallion Architecture What the New Foundation Enables
Holistic 360° Visibility
Unified customer, member, patient, and operational service journeys across phone, CRM, and case systems.
Consistent Enterprise Metrics
Certified semantic models establish a single version of truth for clinical-adjacent and operational KPIs.
Sub-Second Report Delivery
Direct Lake storage modes eliminate import refresh latency for executive and operational analytics.
Auditable Data Lineage
Full traceability from source extraction through Purview sensitivity classifications to dashboard consumption.
One Platform—From Raw Signals to Trusted Action
An end-to-end architectural framework tailored to your organization's workload volume, governance requirements, and performance objectives.
Enterprise Data Sources
Disparate operational, transactional, audio, and third-party systems:
Ingest & Orchestrate
Scalable data movement and pipeline transformation:
Store, Transform & Model (OneLake)
Open Delta Lake storage with unified domain workspaces:
Govern, Secure & Operate
Enterprise trust, lineage, security, and DevOps lifecycle:
Analyze, Predict & Act
Certified business intelligence and operational AI enablement:
Build the Complete View Your Teams Need to Act with Confidence
Explore how unifying healthcare operations in Microsoft Fabric drives actionable intelligence across member, clinical-adjacent, and service workflows.
Member / Patient 360
Connect case records, CRM touchpoints, outreach history, and service interactions into a governed longitudinal view, subject to strict organizational access policies.
Contact Center Intelligence
Combine call volumes, queue wait times, audio disposition tags, and repeat contact history with CRM case outcomes to eliminate recurring patient friction.
Case & Workflow Analytics
Unify PEGA case events with telephony and CRM records to monitor work queue bottlenecks, aging exceptions, escalation trends, and resolution velocity.
Outreach & Engagement
Evaluate how multi-channel campaigns, digital notifications, and outbound advisory calls drive program enrollment and health engagement.
Operational Performance
Provide executive leadership with shared visibility into service levels, team backlog, capacity demand, and cross-departmental handoff dependencies.
Quality & Compliance Reporting
Automate governed audit reporting backed by immutable data lineage, standardized metric definitions, and verifiable transformation logs.
Predictive & Next-Best Action
Create an AI-ready data foundation for workflow prioritization, anomaly detection, and operational next-best recommendations with human oversight.
Simplify the Analytics Estate Without Limiting What Comes Next
Eliminate disjointed analytics tooling with a unified SaaS platform designed for high-performance enterprise data engineering and modern AI.
OneLake as a Shared Logical Foundation
One copy of data across the entire organization. OneLake eliminates costly data duplication and fragmented silos by providing a single logical data lake for all workloads.
Unified SaaS Analytics Experiences
Connect data ingestion, Apache Spark engineering, real-time analytics, data warehousing, and Power BI within a single cohesive, compute-managed platform.
Open Delta Lake & OneLake Shortcuts
Built natively on open Delta Lake storage formats with OneLake shortcuts, enabling instant data virtualization without moving data across cloud boundaries.
Native Purview Governance & Security
Enterprise data discovery, sensitive data classification, automated lineage mapping, and Microsoft Entra ID access controls are built directly into the fabric.
The Sovereign Foundation for Enterprise AI
Curated, trusted Gold data products provide the clean semantic foundation required to safely ground copilots, predictive models, and autonomous AI agents.
Move Quickly—Without Creating Tomorrow's Data Problem
Our structured, iterative framework de-risks migration, enforces architecture best practices, and delivers measurable business value at every milestone.
Discover
Understand business decisions, use cases, data sources, pipeline dependencies, and security constraints.
Output: Readiness diagnostic & prioritized value mapArchitect
Define target workspace topology, security models, medallion ingestion patterns, and semantic standards.
Output: Fabric solution blueprint & migration planProve
Implement a focused high-value use case with real data to validate performance, capacity, and stakeholder value.
Output: Working Proof of Value & benchmarkMigrate & Build
Deliver reusable pipelines, transformations, data products, semantic models, and CI/CD controls iteratively.
Output: Production-ready Fabric platformValidate & Launch
Perform automated reconciliation, access testing, dual-run comparisons, user acceptance, and cutover.
Output: Trusted production cutoverOptimize & Scale
Monitor capacity, optimize query performance, onboard new business domains, and expand AI use cases.
Output: Continuous value & managed roadmapA Practical Engagement for Every Stage of Your Fabric Journey
Whether evaluating feasibility, executing complex data lake migrations, or optimizing enterprise operations, we offer tailored engagement models.
Fabric Readiness Assessment
For organizations evaluating how, where, and when Microsoft Fabric fits into their modern data architecture.
- Current-state platform & architecture audit
- High-value use-case identification
- F-capacity sizing & cost modeling
- Governance, security & Purview roadmap
Fabric Proof of Value
For teams that need to validate Fabric with a real enterprise business scenario and production-grade data.
- Focused multi-source data integration
- End-to-end Medallion data product
- Certified Power BI Direct Lake report
- Capacity sizing & scale recommendations
Migration & Implementation
For organizations modernizing legacy data lakes (e.g. Kylo, Hadoop) or building Fabric as an enterprise foundation.
- End-to-end legacy lake cutover planning
- Production data pipelines & transformations
- Automated data reconciliation & validation
- Team enablement, handover & governance
Fabric Managed Services
For teams seeking continuous platform reliability, capacity optimization, and expert engineering support after launch.
- 24/7 pipeline & refresh monitoring
- Capacity throttling & cost optimization
- DevOps release management & CI/CD
- Continuous domain expansion roadmap
We Connect Platform Engineering to Business Action
We are hands-on implementation engineers and data architects—not slide-deck consultants. We design platforms around real workflows, operational trust, and measurable outcomes.
We understand operational systems
Our deep engineering experience across PEGA, Salesforce, telephony, and custom APIs ensures we design data products around live operational workflows—not abstract tables.
We have executed the modernization work
Our real-world healthcare experience includes moving from an on-premises Kylo data lake to Microsoft Fabric and synchronizing complex multi-system operational data.
We design for trust from day one
Architecture boundaries, least-privilege access, Purview lineage, data quality testing, and CI/CD deployment pipelines are engineered into day one—not added as an afterthought.
We build for business adoption
Certified semantic models, intuitive dashboards, and structured enablement ensure that your technical investment translates into everyday organizational agility.
We connect analytics directly to AI
YuniQ's AI-first approach ensures your OneLake architecture is built to ground predictive models, conversational copilots, and autonomous agents safely.
PEGA Case #4892 aging in Tier 2 queue + 3 inbound telephony calls.
Cross-referenced with Salesforce high-value account tier & SLA threshold.
Immediate routing alert to clinical supervisor + next-best-action engagement trigger.
Answers to Common Questions About Microsoft Fabric
Clear, transparent answers to help your technology and analytics leadership evaluate Microsoft Fabric consulting and implementation.
What is Microsoft Fabric?
Microsoft Fabric is Microsoft's end-to-end SaaS analytics platform. It unifies data integration (Data Factory), data engineering (Spark), data warehousing (SQL), real-time intelligence, data science, and Power BI on top of OneLake—a unified logical data lake powered by open Delta Lake formats.
Can YuniQ migrate an on-premises data lake to Microsoft Fabric?
Yes. YuniQ has practical experience migrating complex healthcare ecosystems from legacy Kylo-based on-premises data lakes to Microsoft Fabric. We begin with comprehensive dependency and reporting discovery, then execute controlled migration waves with automated data reconciliation and parallel validation.
Can Microsoft Fabric connect PEGA, Salesforce, and telephony data?
Yes. We design high-throughput ingestion patterns using Fabric Data Factory pipelines, REST APIs, database connectors, gateways, and event streaming to unify operational data from PEGA workflows, Salesforce CRM, contact-center telephony, and third-party vendor platforms into standardized OneLake data products.
Does every enterprise workload need to move into OneLake?
No. A mature Fabric architecture distinguishes between data that should be fully migrated, mirrored, accessed via OneLake shortcuts (virtualization), or retained in source platforms. We architect solutions based on latency requirements, performance, governance, cost, and operational constraints.
Can you work with our existing Power BI environment?
Yes. We assess current datasets, reports, gateways, and refresh schedules, then establish a roadmap to modernize semantic models to Direct Lake mode and transition to Fabric workspaces without disrupting existing mission-critical reporting.
How do you approach governance and security in Microsoft Fabric?
We implement Microsoft Entra ID role-based access, least-privilege workspace boundaries, Microsoft Purview sensitivity labeling, automated data lineage, Git-integrated CI/CD deployment pipelines, and capacity monitoring to ensure enterprise security and auditability.
Is Microsoft Fabric suitable for sensitive healthcare data?
Fabric supports healthcare data and analytics scenarios when designed and configured within an enterprise-grade security and governance program. We work closely with client security, privacy, and legal stakeholders to enforce strict access boundaries, encryption, and audit controls.
Can Fabric support real-time streaming analytics and AI copilots?
Yes. Fabric includes Real-Time Intelligence for streaming event ingestion and automated alerts. Furthermore, curated Gold Delta tables and certified semantic models provide the trusted foundation required to ground generative AI copilots and machine learning models.
What does a YuniQ engagement look like?
Engagements range from focused Fabric Readiness Assessments and 2–4 week Proofs of Value to full-scale Data Lake Migrations and Ongoing Managed Services. We align scope to your business priorities and define the architecture and execution plan needed to achieve rapid ROI.
Let's Turn Your Data Estate into an Intelligence Engine
Whether you are evaluating Microsoft Fabric, migrating a legacy data lake, modernizing Power BI, or unifying operational data for AI, YuniQ can help define the next practical move.
Bring us one high-value use case. We will help you map the data, architecture, and path to production.