AZURE CONSULTING SERVICES

Data Growing Fast?
Get Azure Infrastructure That Scales with Strategy

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 Success Stories 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

Quick Glimpse of Your Azure Journey

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

1

Business Understanding

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

2

Data Discovery & Ingestion

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

3

Data Modeling & Transformation

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

4

Cloud & Data Storage Optimization

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

5

Advanced Analytics & AI Integration

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

6

Deployment & Performance Optimization

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

7

Ongoing Support & Managed Services

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

The Tech & Certifications Behind Your Azure Setup

Data Sources Integration

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

Azure Specific Offerings

Data Ingestion Layer

Event Hub
kafka

Data Processing & Transformation

Azure Databricks
sql
python logo
Spark

AI & Analytics

Storage & Deployment

Data Sources Integration

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

power BI log
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

Azure Specific Offerings

Data Ingestion Layer

Azure data Factory
Event Hub
kafka

Data Processing & Transformation

Azure Databricks
power BI log
sql
python logo
Spark

AI & Analytics

Cognitive Services

Storage & Deployment

 Cosmos DB
Blob Storage
On-Premise to Cloud Migration

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).

Azure Data Lake & Data Warehouse Design

Access modern, centralized storage that scales. Our team helps you implement Azure Data Lake and Synapse-based warehouses that support structured and unstructured data, ensuring seamless access, governance, and analytics-ready architecture.

ETL & Data Pipeline Development

Build pipelines that don’t break under pressure. From ingestion to transformation, we develop reliable, scalable ETL and ELT processes on Azure, automated, monitored, and customized to your data flow needs

Azure Databricks & Big Data Analytics

When Excel breaks and traditional tools slow down, we suggest Azure Databricks. From distributed data prep to machine learning at scale, we help your teams work with big data, without the overhead of managing infrastructure.

AI & Machine Learning Integration

Put your data pipeline to work. From predictive models to automated workflows, we help you embed AI and ML into your Azure environment, built for experimentation, governance, and production-grade deployment.

Data Streaming & IoT Analytics

Capture, analyze, and act on live enterprise data. We enable real-time stream processing and IoT analytics on Azure, helping you respond faster with event-driven systems that scale from device to dashboard.

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.

Our Client Wins

“Consistent follow-ups helped us”
We're impressed with DataToBiz's professionalism, dedicated support, and consistent follow-ups. Their team maintains clear communication through online meetings, ensuring a smooth and reliable collaboration.

rak4analytics Co-Founder

“They are highly responsive”
DataToBiz delivered templates that seamlessly matched our existing format and efficiently ingested data. Their team was highly responsive, addressing all matters within a business day and maintaining clear communication through email, messaging apps, and virtual meetings. Overall, it was a smooth and satisfying collaboration.

Alta Trust Co. Project Manager

“Thier responsiveness was truly commendable”
Thanks to them, we were able to one-up our decision-making process, data visibility, and workflow efficiency. The onboarded experts maintained clear communication, establishing a smooth workflow.

Godrej Properties Tech Team

Choose How to Run Your Azure Setup

Power-BI-On-Premises resize

Hybrid Data Engineering Solutions

Keep your data in-house or seamlessly migrate it to Azure. This is ideal for businesses with strict compliance needs or those looking for a phased transition from on-premise to Azure migrations.

Power BI Service (On-Cloud)

Azure Cloud-Native Data Pipelines

Run your data pipelines in the cloud with scalable, serverless architectures. Get live processing, collaborate effortlessly, and scale as you grow.

Power-BI-Embedded resize

Real-time & Batch
Processing

Access insights without extra licenses or platform switching. Seamlessly integrate Azure’s data processing into your apps and portals with options for both stream and batch data transformation.

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.

Azure AI-Enabled Data Architecture

  • Utilizes Azure Machine Learning for building, training, and deploying ML models at scale.
  • Leverages Azure Synapse Analytics and Data Lake Storage Gen2 to prepare and manage large datasets for AI.
  • Incorporates Cognitive Services and Azure Machine Learning for NLP, computer vision, and generative AI capabilities.
  • Enables real-time scoring and predictions.
  • Implements Azure Data Factory or Synapse Pipelines for orchestrating end-to-end AI data workflows.
  • Organizations looking to embed AI into analytics and business applications.
  • Data science teams working with large-scale, complex, and diverse datasets.
  • Businesses aiming to automate decision-making, enhance predictions, and create intelligent experiences.
  • Predicting customer churn and lifetime value with ML models trained on behavioral data.
  • Using AI-powered document processing to extract data from invoices, contracts, or claims.
  • Implementing chatbots and virtual assistants with natural language understanding via Azure OpenAI or Bot Framework.
Azure AI-Enabled Data Architecture

Azure Advanced Analytics on Big Data

  • Leverages Spark, Synapse, and Azure Analysis Services for large-scale analytics.
  • Uses Azure Data Lake Storage for storage and format optimization.
  • Integrates with Power BI for insights delivery.
  • Enterprises handling petabyte-scale data.
  • Deep insights and pattern detection.
  • Advanced ML model training.
  • Cross-channel marketing analysis.
  • Financial fraud detection.
  • Genomic or scientific data processing.
Azure Advanced Analytics on Big Data

Azure Real-Time Analytics

  • Stream data via Azure Event Hubs or IoT Hub.
  • Process with Azure Stream Analytics or Synapse.
  • Output to dashboards or alerting systems.
  • Continuous data ingestion and low-latency processing.
  • Monitoring systems and operational metrics.
  • Real-time decision-making.
  • Live device monitoring.
  • Clickstream and session behavior tracking.
  • Real-time KPI dashboards.

Azure Machine Learning Platforms

  • Full ML lifecycle support with Azure ML.
  • Model registry, versioning, and pipelines.
  • Integration with ONNX, AKS, and ADF.
  • End-to-end machine learning ops.
  • Collaborative data science environments.
  • Scalable ML deployments.
  • Forecasting and demand planning.
  • Image classification and object detection.
  • Scoring and recommendation systems.
Azure Machine Learning Platforms

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 Azure engineers 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.

How quickly can I expect to see ROI from moving to Azure?

ROI timelines vary based on the complexity of your existing data stack and business goals. However, many organizations start seeing value within 3 to 6 months via reduced infrastructure costs and improved reporting speeds. At DataToBiz, our Azure implementation approach is agile, modular, and ROI-focused, ensuring measurable wins at each stage

Can you integrate Azure solutions with our existing ERP/CRM tools like SAP, Salesforce, or Oracle?

Yes. Azure Data Services supports seamless integration with major enterprise platforms, including SAP, Salesforce, Oracle, and Dynamics 365. We design custom data pipelines and connectors that ensure your tools stay in sync while optimizing for real-time insights and performance.

What kind of post-deployment support or optimization do you offer?

At DataToBiz, we offer continuous monitoring, performance tuning, cost optimization, and periodic architecture reviews after deployment. Whether you prefer a fully managed service or want us to support your internal team, we extend our support model to match your operational needs.

DMCA.com Protection Status

Request a
Custom Staffing Quote

Complete the form to receive a personalized staffing quote tailored to your needs.

We respect your privacy. Your email address will remain confidential and will never be shared.