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AZURE CONSULTING SERVICES

Data Growing Fast?
Scale Smarter with Azure

You know Azure’s potential, now you need the right implementation strategy. Get expert cloud consulting to modernize your infrastructure without the usual roadblocks.

Trusted by Top Industry Players

Who is this for?

Whether you need ready-made templates, customization, or experts, we’re ready when you are.

For Technology

Enterprises & Mid-Sized Businesses

Set up scalable, secure data systems on Azure, built to grow with you.

For Customization

Tech-First Teams

Use Azure to launch faster, stay flexible, and build smarter solutions from day one.

For Expertise

Firms with Expertise Gap

Bring in certified Azure engineers to your team and get things moving without the hiring hassle.

Azure Architectures Across Industries

Case Studies

Manufacturing
Europe
Transforming Yacht Manufacturing with Dynamics 365
0 %
20+

hrs a week saved/week on manual tracking

0 %
80%

faster reporting times

0 %
95%

improved data accuracy

Technology & Software
North America
Optimizing Workforce Data and Onboarding
0 %
100%

accurate tracking of employee headcount

0 %
70%

more feedback was captured

0 %
90%

functionality in the ticketing system

Tourism
United States
Building Data-Driven Tourism Management Platform
0 %
$150K

of Annual cost savings

0 x
25%

Decrease in customer’s no-shows

0 +
30%

boost in guide utilization in peak hrs.

Analytics That Fit Your Industry

Manufacturing

Real Estate

Retail & E-Commerce

Healthcare

Finance & Banking

Logistics & Transportation

Experience a Live Walkthrough

Click, Explore, Decide,Get Hands-On with a Live Dashboard Demo


Quick Glimpse of Your Azure Journey

Process Behind DataToBiz Azure Implementation, a structured methodology that helps you grow.

1

Align on the Why

We start by meeting your team online, mapping business goals(both short and long-term), and identifying what’s getting in the way.

2

Bring Your Data Together

In the next step of the action plan, our data engineers connect structured and unstructured data sources from departmental spreadsheets to massive databases.

3

Make Data Usable

Using Azure Data Factory and Databricks, we clean, model, and prep your data for real business use.

4

Build the Right Foundation

Set up scalable, cost-efficient storage with Azure Synapse, Data Lakes, or Cosmos DB,whatever fits your current stack the best.

5

Add the Intelligence Layer

Use Azure Machine Learning and other AI tools to uncover insights, spot patterns, and power smarter decisions.

6

Deploy and Fine-Tune

Ensure smooth rollouts with Azure Monitor, plus performance tweaks and bulletproof security.

7

Stay Supported

We don’t vanish after go-live. Get managed services and ongoing expert support to keep your data flow strong, secure, and compliant.

Technology Stack That Transforms

Digital Transformation technology stack engineered for Australian industries

CRM

Hubspot

Enterprise resource planning

Marketing Automation

Marketo logo
Hubspot

Social Media

twitter logo

Structured Files

csv logo
excel logo

Accounting Software

Quickbooks logo

NoSQL Database

cassandra logo
Couchbase logo
redis logo

Sensor Data

Sensor Data logo 2
rfid Sensor Data logo

HR System

workday logo

Unstructured Files

xml logo

Relational Database

mysql logo
sql-server logo
postgreSQL logo
oracle database logo
IBM db2 logo

Manufacturing Supply Chain Management

scada logo
plc logo
dcs logoo
oracle mangement logo
sap ibp logo

E-commerce Systems

magento logo
woocommerce logo

BI & Analytics

dax logo
power query logo

AI LLM Models Integration

copilot logo
chatGPT logo

Data Modeling & Engineering

Azure data Factory logo
sql data logo
python logo

Deployment

aws logo
google cloud
Microsoft Azure logo

CRM

Hubspot

Enterprise resource planning

Marketing Automation

Marketo logo
Hubspot

Social Media

twitter logo

Structured Files

csv logo
excel logo

Accounting Software

Quickbooks logo

NoSQL Database

cassandra logo
Couchbase logo
redis logo

Sensor Data

Sensor Data logo 2
rfid Sensor Data logo

HR System

workday logo

Unstructured Files

xml logo

Relational Database

mysql logo
sql-server logo
postgreSQL logo
oracle database logo
IBM db2 logo

Manufacturing Supply Chain Management

scada logo
plc logo
dcs logoo
oracle mangement logo
sap ibp logo

E-commerce Systems

magento logo
woocommerce logo

BI & Analytics

dax logo
power query logo

AI LLM Models Integration

copilot logo
chatGPT logo

Data Modeling & Engineering

Azure data Factory logo
sql data logo
python logo

Deployment

aws logo
google cloud
Microsoft Azure logo

Enterprise-Grade Security, Built for You

At DataToBiz, security and compliance aren’t optional,they’re built into every layer of your Azure infrastructure.

Scalable, Secure Architecture

Azure serverless frameworks, designed to scale without compromising data protection.

Modular & Controlled

Microservices-based ETL pipelines ensure better control, isolation, and secure integrations. .

Compliance from the Start

Your Azure setup with us meets GDPR, HIPAA, SOC 2, and other major compliance needs by design.

Optimized & Protected Queries

High-performance querying through Synapse & Azure SQL built with encryption and access controls.

Monitored Deployments

CI/CD pipelines with Azure Monitor ensure secure, traceable, and error-free releases

Solutions Built for Your Business

From cloud architecture to data engineering, analytics, and deployment,get a complete Azure ecosystem planned, built, and managed to match your goals (short or long term).

Strategy & Roadmapping

Get expert guidance to align your data strategy with your business objectives. Our Azure consultants assess your current setup, identify gaps, and define a scalable architecture tailored to your use case.

Dashboard Development

Tell your data story clearly. Our team builds intuitive, interactive dashboards that simplify complex data and support faster decision-making,backed by structured BI and UI/UX practices.

Secure Azure Implementation

Deploy scalable, secure Azure environments with the help of seasoned data engineers. From pipeline setup to integration and governance, every step is configured for performance and reliability.

MBSE-Backed System Design

Accelerate your digital transformation with Model-Based Systems Engineering (MBSE). We help you structure complex system data, visualize interdependencies, and implement traceable, model-backed solutions on Azure.

Custom Reports & Visualization

Go beyond charts. Our experts build custom reports using Azure-native tools that highlight trends, KPIs, and outliers,giving you the clarity to act on insights immediately.

On-Demand Azure Experts

Bring certified Azure and cloud experts onto your team on demand. Our developers integrate seamlessly with your workflows, ensuring faster delivery, lower overhead, and scalable solutions built around your business needs.

How It All Comes Together

Choosing Azure is just the first step, making it fit your environment matters more. See how different Azure setups work with your existing systems, whether you're on-prem, cloud, or hybrid.

Azure Medallion Architecture

  • Uses Azure Databricks or Synapse Analytics for distributed data transformation.
  • Utilizes One Lake for Staging and Transformation.
  • Employs Dataflows or Data Pipelines for orchestration.
  • Modern data lakehouse architectures require a layered approach to data refinement.
  • Organizations dealing with large volumes of raw, semi-structured, and structured data.
  • Teams seeking granular control over data transformation, security, and governance.
  • Retail companies perform sales and inventory analytics from raw store data.
  • Healthcare providers are managing claims data, transforming raw logs into actionable insights.
  • IoT-driven businesses collect sensor telemetry, processing it for alerts and dashboards.
Azure Medallion Architecture

Azure Data Lakehouse Architecture

  • Uses Azure Data Lake Storage Gen2 to store both structured and unstructured data in a unified environment.
  • Integrates with Azure Synapse Analytics for scalable, high-performance querying and processing.
  • Supports Azure Data Factory for ETL/ELT pipelines and data ingestion.
  • Includes Power BI for data visualization and Azure Purview for governance and metadata management.
  • Enterprises needing a single platform for both structured (tables) and unstructured (logs, images, documents) data.
  • Organizations looking to combine data warehouse and data lake benefits in one architecture.
  • Use cases requiring scalable analytics, data science, and real-time dashboards across diverse data types.
  • Financial services analyzing transaction data with customer sentiment from call center recordings.
  • Retailers unify sales data with product images and customer reviews for improved marketing.
  • Manufacturing companies monitor machine logs and operational data for predictive maintenance.
Azure Data Lakehouse Architecture

Azure Event-Driven Architecture

  • Uses Azure Event Grid, Azure Service Bus, or Azure Event Hubs to enable decoupled communication between services.
  • Supports event routing, filtering, and schema validation for efficient event handling.
  • Integrates with Azure Storage, Azure Cosmos DB, and other services to persist or process event data.
  • Enables real-time monitoring and diagnostics via Azure Monitor and Application Insights.
  • Applications that need to respond in real time to events from multiple sources.
  • Microservices and distributed systems require loose coupling and scalability.
  • Solutions involving IoT, telemetry, user interactions, or system state changes.
  • Processing e-commerce order events for inventory updates and shipping workflows.
  • Triggering email/SMS notifications based on user actions or system alerts.
  • Analyzing IoT sensor data streams for real-time insights and anomaly detection.

Azure Modern Data Warehousing

  • Uses Azure Synapse Analytics as the central platform for data ingestion, processing, and querying at scale.
  • Stores structured and semi-structured data in Azure Data Lake Storage Gen2, integrated with Synapse via a unified workspace.
  • Supports PolyBase and Synapse Pipelines for ingesting data from diverse sources (on-prem, SaaS, real-time).
  • Enables powerful analytics using Power BI within the same environment.
  • Implements Azure Purview or Unity Catalog for metadata management, lineage, and governance.
  • Enterprises seeking a cloud-native, scalable alternative to traditional data warehouses.
  • Organizations handling large volumes of structured and semi-structured data from varied sources.
  • Data teams looking to unify data engineering, analytics, and BI in one ecosystem.
  • Creating a 360-degree customer view by integrating CRM, transaction, and interaction data.
  • Running financial and operational reporting with data from ERP, HR, and logistics systems.
  • Building advanced analytics and machine learning models on enterprise-wide datasets.

Why Choose DataToBiz?

Frequently Asked Questions(FAQs)

How does Azure Data Engineering differ from traditional data solutions?

Traditional systems often struggle with scale, speed, and flexibility. Azure, on the other hand, gives you access to modern tools like Data Factory, Synapse, and Databricks that can handle vast amounts of structured and unstructured data, automate pipelines, and support real-time processing, all while keeping things secure and cost-optimized.

Can I migrate from on-premise data warehouses to Azure?

Absolutely. In fact, that’s one of the most common scenarios we help with. Whether you’re using SQL Server, Oracle, or even legacy systems, we help you plan the migration, avoid downtime, and ensure your data is optimized for performance once it’s in the cloud.

What Azure tools are best for processing live data streams?

Azure offers a few great options for that. Azure Stream Analytics and Azure Event Hubs work really well together for real-time processing. For more advanced setups, we often bring in Azure Databricks or Synapse pipelines, depending on the use case and scale.

How secure is my data in Azure?

Very secure, provided it’s set up the right way. Azure offers encryption at rest and in transit, role-based access controls, and built-in compliance with regulations like GDPR, HIPAA, and SOC 2. We make sure your architecture aligns with these from day one.

Do I need a full in-house team to manage Azure after implementation?

Not necessarily. That’s where our managed services and on-demand experts come in. You can scale your internal team as needed while we handle the monitoring, optimization, and support in the background, keeping everything running smoothly without over-hiring

Do you have experience working with companies in our industry?

Yes. We’ve built an Azure setup for enterprises across manufacturing, finance, healthcare, and more, helping them optimize operations, improve forecasting, and get deeper customer insights. To check success stories across industries, go to case studies.

Do you have experience working with companies in our industry?

Yes. We’ve built BI solutions for enterprises across manufacturing, finance, healthcare, and more—helping them optimize operations, improve forecasting, and get deeper customer insights. To check success stories across industries, go to case studies.

Can we start with a small dashboard project and expand later?

Absolutely. Many of our clients start small, with just one dashboard or department, and then scale as they see value. Power BI implementation is a flexible, low-risk way to begin.

Do you offer ready-to-use dashboard templates for quick deployment?

Yes! We have a library of industry-tested Power BI dashboard templates ready. You can launch faster, then customize as needed.

What kind of support or training do you provide post-implementation?

Our designated Power BI developers stick around. From live training to ongoing support, we make sure your team is confident using the dashboards and getting the most out of them.

How customizable are the dashboards to our KPIs and workflows?

Very, to say the least. Our team of BI developers tailors every dashboard to reflect your goals, metrics, and workflows, with no cookie-cutter setups in the process.

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