Enterprise Data Transformation Partner

Turn Your Business Data Into Your Competitive Advantage.

From fragmented data sources to enterprise-ready analytics. We build scalable data pipelines, Microsoft Fabric platforms, intelligent applications, and executive dashboards that help organizations make faster, more confident decisions.

End-to-End Microsoft Fabric Architecture Stream
Continuous Ingestion · Medallion Lakehouse · Direct Lake Semantics
Business Systems
ERP, CRM, SQL, APIs
Data Ingestion
Data Factory & CDC
Fabric OneLake
Single Tenant Storage
Lakehouse / Warehouse
Delta Lake Medallion
Semantic Models
Direct Lake & DAX
Power BI & Apps
Interactive Decisions
Engineered Across Modern Enterprise Data Ecosystems
Microsoft Fabric OneLake
SAP S/4HANA & ECC
Power BI Direct Lake
Oracle Fusion Cloud ERP
Delta Lake Parquet
Salesforce & Dynamics 365
Azure Data Factory & Synapse
Microsoft Purview Governance
PySpark Lakehouse Pipelines
Snowflake & Databricks Ingestion
Microsoft Fabric OneLake
SAP S/4HANA & ECC
Power BI Direct Lake
Oracle Fusion Cloud ERP
Delta Lake Parquet
Salesforce & Dynamics 365
Azure Data Factory & Synapse
Microsoft Purview Governance
PySpark Lakehouse Pipelines
Snowflake & Databricks Ingestion

Your Business Generates Data. Is It Generating Intelligence?

Most organizations do not lack data. They struggle with fragmented systems, manual spreadsheets, delayed reports, and conflicting numbers that slow down executive decision-making.

Traditional / Fragmented State

The Burden of Disconnected Systems

Departments pull separate exports into disconnected spreadsheets. Leadership receives competing figures and waits weeks for monthly close summaries.

  • ✕ Data scattered across ERP, CRM, finance, operations, and isolated spreadsheets
  • ✕ Hundreds of hours lost to repetitive manual data extraction and VLOOKUP reconciliation
  • ✕ Inconsistent KPI definitions across finance, sales, and supply chain teams
  • ✕ Outdated reports forcing executive leadership to make retrospective, reactive decisions
  • ✕ Fragile, unmonitored scripts that fail silently and require constant IT intervention
Modern / Unified Fabric State

The Unified Enterprise Platform

All source systems feed into a governed Microsoft Fabric Lakehouse. Standardized semantic models deliver real-time, trusted intelligence to every stakeholder.

  • ✓ Single logical data platform (OneLake) connecting all operational and cloud sources
  • ✓ Fully automated, scheduled ingestion pipelines with proactive failure alerting
  • ✓ Governed semantic models ensuring one single version of truth across the enterprise
  • ✓ Sub-second Direct Lake Power BI dashboards and interactive custom applications
  • ✓ Audited data lineage, row-level security, and governed compliance built-in from day one

One Partner. Your Entire Data Journey.

We take complete responsibility for your data lifecycle. From initial source discovery to enterprise Fabric deployment and continuous performance evolution. Hover any stage below to inspect deliverables.

Stage 01
Discover & Assess
Audit source systems, identify data quality bottlenecks, define unified business KPIs, and evaluate architecture readiness.
✓ Source System Inventory
✓ KPI Governance Matrix
Stage 02
Connect & Ingest
Build automated connectors to ERPs, CRMs, cloud databases, APIs, and operational tables with incremental CDC pipelines.
✓ Fabric Data Factory Pipelines
✓ Incremental CDC Extraction
Stage 03
Clean & Transform
Standardize schemas, deduplicate transactional records, enforce validation logic, and structure data into clean Silver layers.
✓ PySpark Transformation Rules
✓ Data Quality Alerting
Stage 04
Engineer Platform
Implement Microsoft Fabric OneLake, Lakehouse, and Warehouse architectures. Configure Delta Lake partitioning and shortcuts.
✓ OneLake Medallion Architecture
✓ Curated Gold Warehouse Schema
Stage 05
Build Intelligence
Construct Direct Lake semantic models, build executive Power BI scorecards, and create custom business analytics applications.
✓ Direct Lake Semantic Models
✓ Role-Based Power BI Portals
Stage 06
Optimize & Evolve
Monitor Fabric capacity compute, optimize refresh speeds, govern access, and deploy predictive AI and Copilot decision tools.
✓ Capacity (CU) Tuning & Alerts
✓ AI Copilot Readiness

Unified Enterprise Data Solutions

We don't build isolated charts. We engineer resilient data infrastructure, governed enterprise models, and intelligent business-facing applications.

Enterprise Data Engineering

Connect disparate ERP, CRM, and cloud systems. Automate data movement with high-throughput ingestion pipelines and Delta Lake medallion architecture.

Key Capabilities: Data Factory pipelines, PySpark notebooks, Delta Lake ACID transactions, Change Data Capture (CDC).
Explore Solution →

Microsoft Fabric Implementation

Build a unified analytics platform using OneLake, Lakehouse, Warehouse, and Data Factory. Unify your compute, eliminate data duplication, and streamline governance.

Key Capabilities: OneLake virtualization, Lakehouse & Warehouse unification, Direct Lake mode, Capacity (F-SKU) tuning.
Explore Solution →

Power BI & Business Intelligence

Develop responsive executive dashboards, enterprise semantic models, and automated KPI reporting that provide real-time visibility across all business units.

Key Capabilities: Star-schema semantic modeling, advanced DAX measures, Paginated Reports, Row-Level Security (RLS).
Explore Solution →

Custom Analytics Applications

Go beyond charts. Build business-facing applications that embed live operational metrics, allow entity drill-downs, and trigger automated enterprise workflows.

Key Capabilities: React + Fabric REST API portals, writeback integrations, operational alert triggers, role-based workflows.
Explore Solution →

Data Governance & Quality

Establish enterprise trust in your numbers. Implement end-to-end data lineage, automated validation checks, and role-based access management.

Key Capabilities: Microsoft Purview integration, schema enforcement, data contracts, anomaly detection, compliance audits.
Explore Solution →

AI-Ready Data Platforms

Prepare clean, governed data for machine learning models, predictive forecasting, natural language analytics, and Copilot intelligence.

Key Capabilities: Microsoft Fabric Copilot enablement, automated feature stores, Azure OpenAI integration, forecasting models.
Explore Solution →

Build Your Modern Data Foundation With Microsoft Fabric.

Microsoft Fabric brings data engineering, data integration, analytics warehousing, and business intelligence into one unified, serverless architecture. Hover any layer below to inspect its operational role.

● Layer 01
Enterprise Data Sources
Source transaction systems of record across enterprise departments.
SAP / Oracle / Dynamics SQL / PostgreSQL Salesforce / HubSpot REST APIs & Files
✓ Native Enterprise Connectors
What It Does

The systems of record across your enterprise where business transactions originate.

Why It Matters

Enterprise data is naturally distributed. Rather than forcing all systems to conform, this layer recognizes ERPs, CRMs, databases, APIs, and file repositories as raw feed streams.

Typical Deliverables

API contracts, database connection credentials, network security rules, source data dictionary.

Business Benefit

Connects all historical and transactional operational data without disrupting source systems.

● Layer 02
Ingestion & Pipelines
Data Factory orchestration, Dataflows Gen2, REST API ingestion, and CDC.
Fabric Data Factory Dataflows Gen2 Change Data Capture Scheduled Orchestration
✓ 100% Automated Data Movement
What It Does

Cloud-scale orchestration pipelines that extract data on scheduled or continuous change-data-capture (CDC) triggers.

Why It Matters

Automates data flow, eliminates brittle manual export scripts, and handles connection retries and network throttling.

Typical Deliverables

Parameterized Data Factory pipelines, Dataflows Gen2 transformation steps, automated pipeline alerts.

Business Benefit

Eliminates hundreds of hours of manual report exports and guarantees data refreshes on time.

● Layer 03
Unified Data Foundation
OneLake open storage, Delta Lake format, and Bronze/Silver medallion lakehouses.
OneLake SaaS Lake Delta Lake (Parquet) Shortcuts Virtualization ACID Compliance
✓ Zero Data Duplication
What It Does

Centralized enterprise storage powered by Delta Lake and Apache Parquet in a single logical tenant lake.

Why It Matters

Eliminates data silos by storing one single copy of enterprise data accessible to all analytical engines.

Typical Deliverables

OneLake workspace configuration, Bronze (Raw) and Silver (Cleansed) Delta tables, shortcut references.

Business Benefit

Zero data duplication, zero storage waste, and open-format accessibility across all data tools.

● Layer 04
Analytics & Modeling
Fabric SQL Warehouse, semantic star-schemas, and curated business logic.
Fabric SQL Warehouse Star-Schema Modeling T-SQL Queries Curated Gold Tables
✓ Single Source of Governed Truth
What It Does

High-performance SQL analytics endpoint and semantic star-schema data modeling.

Why It Matters

Structures relational data into dimensional facts and dimensions for high-speed calculation and business consumption.

Typical Deliverables

Star-schema dimensional models, curated Gold warehouse tables, cross-database SQL views.

Business Benefit

Consistent business logic and sub-second SQL queries across millions of transactional records.

● Layer 05
Intelligence & Apps
Executive scorecards, Power BI reporting, and custom business applications.
Power BI Service Direct Lake Execution Custom Fabric Portals Fabric Copilot
✓ Sub-Second Decision Insights
What It Does

Executive scorecards, interactive Power BI reports, and custom business applications utilizing Direct Lake.

Why It Matters

Brings data directly into decision-making workflows with live query execution without slow imports.

Typical Deliverables

Executive Power BI dashboards, Direct Lake semantic models, custom React analytics portals.

Business Benefit

Real-time visibility for leadership and automated operational workflows for department heads.

● Layer 06
Governance & Operations
Security, capacity management, lineage mapping, and auditing.
Microsoft Purview Row-Level Security (RLS) Capacity (CU) Monitoring Git CI/CD Integration
✓ Total Regulatory & Cost Control
What It Does

Centralized access control, column/row-level security, end-to-end data lineage, and capacity management.

Why It Matters

Ensures data privacy, regulatory compliance, and predictable cloud compute costs.

Typical Deliverables

Row-Level Security (RLS) policies, Microsoft Purview data lineage mapping, capacity monitoring alerts.

Business Benefit

Complete peace of mind for CIOs, CISOs, and finance leaders with audited data privacy and cost control.

Tailored Solutions for Leading Industries

Every vertical operates with distinct data structures, regulatory requirements, and operational KPIs. We build architectures tuned to your specific sector.

Hospitality RevPAR and occupancy dashboard preview

Hospitality & Hotels

Connect PMS, POS, channel managers, and banquet systems into real-time yield intelligence.

Key KPIs: RevPAR, ADR, Occupancy %, F&B Revenue Mix, Guest NPS.
View Hospitality Blueprint →
Healthcare patient volume and department performance dashboard

Healthcare & Hospitals

Unify EHR, HIS, billing, and lab records with strict HIPAA/DOH compliance and patient flow visibility.

Key KPIs: Bed Occupancy, ALOS, Door-to-Doctor, Revenue Cycle, Readmissions.
View Healthcare Blueprint →
Manufacturing line OEE and downtime intelligence dashboard

Manufacturing

Integrate SCADA, MES, and ERP data streams to monitor production efficiency and prevent downtime.

Key KPIs: Overall Equipment Effectiveness (OEE), Scrap %, Line Throughput.
View Manufacturing Blueprint →
Retail and FMCG inventory turn and sell-through dashboard

Retail & FMCG

Merge POS, e-commerce, and warehouse data to optimize markdown strategies and stock allocation.

Key KPIs: Sell-Through %, Gross Margin Return on Investment (GMROI), Basket Size.
View Retail Blueprint →
Logistics fleet utilization and OTIF delivery tracking dashboard

Logistics & Supply Chain

Aggregate telematics, WMS, and freight forwarding feeds into end-to-end shipment oversight.

Key KPIs: On-Time In-Full (OTIF), Fleet Fuel Index, Cost per Ton-Kilometer.
View Logistics Blueprint →
Banking and financial performance risk and liquidity dashboard

Banking & Financial Services

Consolidate core banking, treasury, and loan origination records with strict audit traceability.

Key KPIs: Net Interest Margin (NIM), NPL Ratio, Liquidity Coverage (LCR).
View Banking Blueprint →
Real estate portfolio yield and tenant occupancy dashboard

Real Estate & Property

Track lease expirations, rental collection schedules, and developer asset yields in unified views.

Key KPIs: Portfolio Occupancy %, Net Rental Yield, Rent Collection %, Arrears.
View Real Estate Blueprint →
Oil and Gas production output and plant uptime dashboard

Oil & Gas

Monitor wellhead production metrics, refinery operational equipment, and field maintenance cycles.

Key KPIs: Barrel Equivalent Output, Facility Availability %, Flaring Volume.
View Energy Blueprint →
Automotive dealership turnover and service bay performance

Automotive & Distribution

Connect dealership management systems (DMS) to monitor vehicle turnover and parts utilization.

Key KPIs: Days to Sell, Service Bay Utilization, Parts Fill Rate, Margin by Model.
View Automotive Blueprint →

Technology Is Only Valuable When It Improves Business Outcomes.

We align every architectural decision with commercial objectives. The following qualitative improvements represent our core design goals across enterprise engagements.

Operational & Cultural Shift

Elimination of Manual Reporting Friction:

Finance and operations staff transition from manual CSV extraction and spreadsheet stitching to strategic data analysis and process improvement.

Guaranteed Metric Consistency:

All business units calculate revenue, margins, and operational costs using the exact same governed formulas defined in Fabric semantic models.

Immediate Decision Speed:

Instead of waiting until mid-month for retrospective reports, executives make informed choices based on real-time and daily automated data feeds.

Architectural & Financial Impact

Elimination of Data Redundancy:

OneLake stores a single copy of truth in open Delta Parquet format, removing costly multi-copy data lake and warehouse synchronization expenses.

Proactive Operational Oversight:

Automated alerting detects data drift, pipeline latencies, and sudden operational anomalies before they affect board reports.

Scalable Foundation for AI:

Clean, governed semantic data allows immediate adoption of Microsoft Fabric Copilot, Azure OpenAI, and predictive machine learning models.

* Note: Measurable quantitative results depend on the client's baseline data maturity, system architecture, implementation scope, and user adoption.

A Structured Approach to Enterprise Data Transformation.

We don't jump into dashboard building immediately. Every engagement starts with business requirements and data readiness, followed by disciplined architecture, testing, and knowledge transfer.

01. WORKSHOP

Discovery Workshop

Align with business sponsors, define executive goals, and document high-impact questions.

02. AUDIT

Data Assessment

Inspect source systems, audit data schemas, assess refresh latencies, and flag quality gaps.

03. ARCHITECTURE

Solution Design

Formulate Microsoft Fabric OneLake, Lakehouse, and semantic architecture blueprint.

04. PROOF

Proof of Concept

Build a working vertical slice from source ingestion to live dashboard to validate performance.

05. BUILD

Implementation

Develop robust ingestion pipelines, transformation notebooks, and star-schema models.

06. VALIDATION

Testing & QA

Rigorous reconciliation against financial ledgers, stress testing, and security verification.

07. ADOPTION

Enablement

Hands-on training sessions for departmental users, semantic documentation, and admin handover.

08. EVOLUTION

Continuous Tuning

Capacity compute monitoring, refresh speed tuning, and ongoing feature expansion.

Reference Architectures & Concept Demonstrations

Explore functional reference solutions engineered to solve complex operational challenges across global enterprise verticals.

Reference Architecture · Manufacturing

Multi-Plant SCADA & SAP Ingestion via Microsoft Fabric

Challenge: Production telemetry was trapped in isolated plant historians while financial orders lived in SAP, making true line OEE and scrap cost analysis impossible.
Architecture Approach: Deployed Fabric Data Factory with Kafka streaming ingestion into OneLake Bronze Delta tables. PySpark notebook cleanses telemetry and joins against Gold ERP dimension tables.
Outcome: Sub-minute equipment downtime visibility and automated daily scrap variance scorecards.

Microsoft Fabric Delta Lake PySpark Direct Lake Power BI
View Architecture Details →
Reference Architecture · Retail & FMCG

Automated Omnichannel Inventory & Margin Intelligence

Challenge: 120+ retail store POS outlets and Shopify e-commerce feeds caused stockouts on high-velocity SKUs and delayed markdown decisions.
Architecture Approach: Incremental CDC ingestion through Dataflows Gen2 into Fabric Lakehouse. Curated semantic star-schema model with Direct Lake performance.
Outcome: Real-time store stockout risk alerting and governed margin analytics across 14,000+ SKUs.

Fabric Lakehouse Dataflows Gen2 Star Schema Direct Lake
View Architecture Details →
Explore All Reference Architectures

Engineering Excellence Across Modern Data Stacks

We implement industry-standard enterprise technologies structured by purpose, ensuring maintainability, security, and open-format flexibility.

DATA PLATFORM

Microsoft Fabric Unified Platform

Microsoft Fabric, OneLake, Lakehouse, SQL Analytics Warehouse, Delta Lake format.

DATA ENGINEERING

Pipelines & Transformation

Fabric Data Factory, Dataflows Gen2, PySpark notebooks, Apache Spark, SQL, REST APIs.

BUSINESS INTELLIGENCE

Modeling & Visualization

Power BI Service & Desktop, Direct Lake mode, DAX optimization, Paginated Reports.

APPLICATION DEVELOPMENT

Interactive Data Portals

React, TypeScript, Fabric REST APIs, secure token auth, embedded analytics portals.

CLOUD & INTEGRATION

Cloud Infrastructure

Microsoft Azure, Azure SQL, Blob Storage, enterprise network gateways, hybrid connectors.

GOVERNANCE & DELIVERY

Security & DevOps

Microsoft Purview, Row-Level Security, Fabric Git integration, automated testing & CI/CD.

Built Around Your Business. Engineered for Scale.

Why leading enterprises choose DAVIZ Solutions as their long-term data engineering and analytics transformation partner.

01

End-to-End Delivery

We manage the full pipeline—from raw ERP extraction to Fabric modeling, dashboards, and AI apps.

02

Business-First Design

Architectures designed around real operational KPIs and decision speed, not technical jargon.

03

Reusable Pipelines

Parameterized ingestion frameworks and automated alerting that minimize ongoing maintenance costs.

04

Governed Data Foundations

Zero conflicting spreadsheet numbers. One authoritative single-source-of-truth semantic model.

05

Scalable Architecture

Engineered on Microsoft Fabric and OneLake to seamlessly handle terabytes without performance degradation.

06

Applications Beyond BI

Custom business applications that embed operational data directly into department workflows.

07

Clear Documentation

Complete source data dictionaries, DAX measure catalogs, and user enablement handover.

08

Security & RLS by Design

Role-based access controls and row-level security configured to protect sensitive financial records.

09

Practical Measurable Value

Rapid delivery milestones that demonstrate tangible business value in weeks rather than quarters.

Insights & Architecture Guides

Technical articles, best practices, and implementation guides written by our enterprise data engineering and Microsoft Fabric architects.

Microsoft Fabric

Migrating Enterprise BI to Microsoft Fabric: Complete Architecture Guide

Step-by-step guidance on unifying Azure Synapse, Data Factory, and Power BI into OneLake with Direct Lake mode.

Technical Whitepaper Read Article →
Data Engineering

Medallion Architecture (Bronze, Silver, Gold) in Fabric OneLake

How to structure high-throughput Delta Lake tables, enforce schema validation, and optimize file compaction.

Architecture Guide Read Article →
Power BI & Direct Lake

Direct Lake vs Import vs DirectQuery: Performance Benchmark

Comprehensive latency analysis comparing Direct Lake query speed against traditional Power BI dataset modes.

Performance Benchmark Read Article →
Explore All Insights & Guides

Let's Turn Your Data Into a Business Advantage.

Tell us about your data sources, reporting challenges, and business goals. We'll help you identify a practical path toward a more connected, reliable, and intelligent Microsoft Fabric data environment.

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