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Data Modernization Services
Leverage the Microsoft Intelligent Data Platform to capture and unlock the value of your data to realize real-time insights and business outcomes.
Do these data challenges sound familiar?
- Too much data from different sources
- Siloed and disorganized data
- Data not ready for actionable insights
- Legacy database technology
- Little or no budget
Why Modernize Your Data?
Companies of all sizes and industries have untapped value hidden in their data. And they’re increasingly realizing that adopting modern data management strategies is the only way to extract maximum value from their information and uncover new revenue opportunities, identify weaknesses or areas for business improvement, and enhance productivity, profitability and competitiveness.
Our Azure Data Modernization Approach
Data and analytics are crucial for transformation, but success requires the right capabilities. At OneNeck, we believe Azure offers the limitless scale, performance and possibilities that empower you to achieve great things with your data, including:
- Accurate insights through real-time streaming, data analysis and machine learning.
- Data security and privacy.
- Fully integrated analytics solutions for data preparation, management, warehousing and AI tasks.
But no matter how powerful the platform or tools, data success relies on a thoughtful approach and proven best practices. That’s why we’ve developed a methodology to guide our customers to data modernization success.
PHASE 1
Assessment & Planning
PHASE 2
Data Platform Modernization
PHASE 3
Data Integration
PHASE 4
Analytics & Intelligence
PHASE 5
Training & Support
PHASE 1
Assessment & Planning
ASSESSMENT & PLANNING
- Modern Data Workshop
- DetailedAssessment
- Custom Data Modernization Roadmap
WHAT’S NEEDED FROM YOU
- Workshop: Your data team attends the workshop (no NDA required, as no “real data” used.)
- Assessment: People with deep knowledge of each legacy data system will need to be available.
AVERAGE TIMELINE
- Workshop (6 hours)
- Assessment (40–60 hours)
ESTIMATED COST
- Workshop (Free)
- Assessment + Roadmap up to $12.5K* but could be less depending on size/complexity
*If you decide to proceed with an engagement, you may be eligible to receive full or partial credit for assessment.
PHASE 2
Data Platform Modernization
DATA PLATFORM MODERNIZATION
- Migrate existing data platform to Azure.
- Use Azure services such as Azure Data Factory, Azure SQL Database and Azure Synapse Analytics.
WHAT’S NEEDED FROM YOU
- Access to your Azure environment
- Access to your legacy data systems
- Your Data SMEs
AVERAGE TIMELINE
It depends upon the number of legacy data sources, but on average 200 hours to migrate, integrate, and build analytics capabilities.
ESTIMATED COST
Please note that this estimate may vary based on the complexity and scale of your data architecture, and we are happy to provide a more detailed quote after assessing your requirements.
*If you decide to proceed with an engagement, you may be eligible to receive full or partial credit for assessment fee.
PHASE 3
Data Integration
DATA INTEGRATION
- Integrate data sources to Azure using the Azure integration services (Azure Data Factory and/or Azure Synapse Pipelines).
- Enable easy data ingestion and transformation.
WHAT’S NEEDED FROM YOU
- Access to your Azure environment
- Access to your legacy data systems
- Your Data SMEs
AVERAGE TIMELINE
It depends upon the number of legacy data sources, but on average 200 hours to migrate, integrate, and build analytics capabilities.
ESTIMATED COST
Please note that this estimate may vary based on the complexity and scale of your data architecture, and we are happy to provide a more detailed quote after assessing your requirements.
*If you decide to proceed with an engagement, you may be eligible to receive full or partial credit for assessment fee.
PHASE 4
Analytics & Intelligence
ANALYTICS & BUSINESS INTELLIGENCE
- Build analytics and business intelligence solutions on top of your modern data platform.
- Use Azure Synapse Analytics, Power BI, and other Azure services.
WHAT’S NEEDED FROM YOU
- Access to your Azure environment
- Access to your legacy data systems
- Your Data SMEs
AVERAGE TIMELINE
It depends upon the number of legacy data sources, but on average 200 hours to migrate, integrate, and build analytics capabilities.
ESTIMATED COST
Please note that this estimate may vary based on the complexity and scale of your data architecture, and we would be happy to provide a more detailed quote after assessing your requirements.
*If you decide to proceed with an engagement, you may be eligible to receive full or partial credit for assessment fee.
PHASE 5
Training & Support
TRAINING AND SUPPORT
- We will provide training and support to your team throughout this process to ensure that they are comfortable using the new data platform and analytics tools.
- We can also provide ongoing support and/or managed services to ensure that your data platform is running smoothly and efficiently.
WHAT’S NEEDED FROM YOU
- Your team will take over the care and feeding of the new systems, and OneNeck can offer any required support.
- You can leverage OneNeck to fully manage your environment.
AVERAGE TIMELINE
To include environment documentation, this is (on average) 40 hours.
ESTIMATED COST
Support costs are calculated on a customer requirements basis.
Simple Use Case
Migrate from an On-prem Relational Database to an Azure SQL Managed Instance
A mid-size company currently maintains an on-premises relational database for their business-critical application. They have decided to modernize their infrastructure by migrating the database to Azure SQL Managed Instance for enhanced scalability, performance and management capabilities. By doing so, they eliminate infrastructure management and realize cost savings with increased operational efficiency.
Moderate Use Case
Get a Cost-effective Alternative to Traditional Data Warehousing and Integrate Machine Learning to Gain Insights and Develop Predictive Models
A mid-range computer system, such as the IBM AS/400, seamlessly integrates with Azure Synapse Pipelines to facilitate data ingestion into a data lake. Afterwards, Spark Code is utilized to transform and curate the data, allowing easy access to the curated data as serverless SQL tables. This enables the generation of reports in Power BI, providing valuable insights.
Complex Use Case
Large Application Modernization to Azure
A growing company has decided to modernize their application in Azure, so they can achieve benefits such as improved scalability, enhanced security, increased agility and reduced maintenance efforts. This includes:
Assessment and Planning:
- Evaluate the current state of the application, including its architecture, dependencies and performance bottlenecks.
- Identify the desired modernization goals, such as improving scalability, enhancing security, or enabling new features.
- Determine the feasibility of migrating the application to Azure and select the appropriate migration approach (lift and shift, re-platforming, or refactoring).
Migration to Azure:
- Lift and Shift: If the application requires minimal changes, it can migrate it to Azure Virtual Machines (VMs) or Azure Container Instances without significant modifications.
- Re-platforming: If desired, leverage Azure services and platform capabilities, consider migrating the application to Azure App Service, Azure Functions, or Azure Kubernetes Service (AKS) while making necessary code and configuration updates.
- Refactoring: For more substantial modernization, refactor the application by breaking it into microservices and leveraging Azure Service Fabric or Azure Spring Cloud. This approach allows for scalability, fault tolerance, and better resource utilization.
Data Storage and Management:
- Choose the appropriate Azure data services to store and manage the application’s data. Options include Azure SQL Database, Azure Cosmos DB, Azure Blob Storage, or Azure Data Lake Storage, depending on the data requirements.
- Migrate the existing database to Azure SQL Database or leverage Azure Database Migration Service for a smooth transition.
- Utilize Azure Data Factory or Azure Logic Apps to orchestrate data integration and data movement between various systems and services.
Tangible ROI is Achievable
Modernize your data in Azure for a measurable ROI. While the exact ROI will vary depending on the size and complexity of the modernization project, new data platforms can typically be deployed…
- in as little as one month,
- with 40% lower data storage costs
- and 30%-60% faster time to market.
Why OneNeck as Your Data Partner
OneNeck offers fully managed Microsoft Azure data services. We provide a holistic approach to data, analyzing your current state and creating a project-by-project plan to extract maximum value from your data. Let us help you:
- Build a scalable data infrastructure.
- Gain real-time insights for informed decisions.
- Secure your company data to prevent costly breaches.
Start Your Data Journey Today
Don’t dive into data modernization projects blindly—gain the insights, strategies and tools needed for success.
Begin your data modernization journey now with our data discovery workshop. Sign up today!
(And rest easy knowing we won’t clutter your inbox with unwanted marketing and sales emails.)
Customer Testimonial
“We knew our aging, on-premises infrastructure would be expensive to upgrade and maintain. It was time to explore solutions that would allow us to avoid the cost of paying upfront and shift to an operating expenditure model and pay only for what we need, when we need it.”
IT Manager / Milwaukee County
