Data Modernization Services
Build a strong data foundation to fuel AI innovation.
Assess Your Data TodayAre you struggling to scale analytics and AI initiatives?
Even with pilots, organizations often struggle to operationalize models. Without well-engineered and integrated data pipelines, analytics and AI initiatives stall, delaying ROI and limiting enterprise-wide impact.
Is fragmented or inconsistent data slowing you down?
Disconnected systems and inconsistent datasets reduce trust in insights and increase costs, including licensing and storage. Fragmented data makes it harder to act quickly or deploy analytics and AI effectively.
Are compliance gaps exposing your data to risk?
As data grows, weak governance leads to inefficiencies, inaccurate insights, and costly remediation or penalties, hindering analytics adoption and limiting the enterprise’s ability to scale AI initiatives.
Modernize Your Data, Accelerate Your AI Journey
Enterprises generate massive volumes of structured and unstructured data, yet deriving meaningful insights often remains a challenge. Data360 Services provides a comprehensive approach to modernize and optimize the data ecosystem, enabling organizations to harness data as a strategic asset.
We analyze data across platforms and systems to support data migration, integration, and modernization. With deep expertise in the Microsoft stack, including Azure and Fabric, our services help restructure and optimize your data strategy and architecture, transform raw data into enterprise intelligence, and prepare your organization to be AI-ready.
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Where are you on your Data Transformation Journey?
Data modernization is a strategic journey, unfolding in stages. Whether you are starting or already in progress, this guide maps the key phases of transformation and the Microsoft + LevelShift technology stack that enables each one.
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Top 10 Data and Analytics Team Awards
Our Data Modernization Services
Explore our comprehensive suite of services that brings all aspects of data modernization under one roof.
Data Consulting Services
Discover your data’s true potential with our Data360 Opportunity Scan. We assess your data landscape, techstack, modernization priorities, and technical debt to identify gaps, uncover opportunities, and design a tailored roadmap for your modernization journey.
Cloud Adoption Services
Accelerate modernization with Azure-native architectures that simplify migration and optimize performance. We re-platform workloads, containerize data assets, and ensure scalability with cloud-native tools, enabling agility, elasticity, and a reduced total cost of ownership.
Data Engineering Services
Design scalable, resilient data ecosystems with our ETL and ELT pipelines, real-time streaming layers, and data lakes built on Azure and Microsoft Fabric. We ensure clean, reliable data through robust ingestion, cleansing, migration, orchestration, lineage, and quality for analytics and AI workloads.
Data Migration Services
Migrate from on-prem and legacy systems to the cloud with secure frameworks. We specialize in Azure Synapse to Fabric, Power BI to Fabric, Tableau to Power BI, and Tableau to Fabric migrations, ensuring minimal downtime, schema integrity, and optimized performance.
Data Analytics Services
Derive actionable intelligence using Azure Synapse Analytics and Microsoft Fabric. We integrate semantic models, predictive insights, and self-service analytics to provide real-time visibility and empower data-driven decision-making across business functions.
Data Visualization & BI Services
Empower every user with intuitive dashboards built on Power BI and Tableau. We unify data sources, establish semantic layers, and create visual storytelling experiences that turn complex metrics into actionable business insights.
Data Virtualization & Privatization
Simplify distributed data access using Perforce Delphix-powered virtualization. We enable test data provisioning, masking, and cloning, ensuring secure, compliant, and agile environments for CI/CD.
Data Science Services
Harness the power of advanced analytics, feature engineering, and statistical modeling to drive business impact. Our teams design scalable data science pipelines for forecasting, segmentation, and optimization using Azure ML and open-source frameworks.
Enterprise AI & ML Services
Operationalize intelligence through Copilot integrations, Azure ML Labs, and MLOps frameworks. We help enterprises automate processes, deploy models at scale, and embed AI into core business workflows for measurable efficiency and innovation.
Microsoft Fabric Services
Build a robust data foundation for AI with Microsoft Fabric. End-to-end platform setup ensures advanced features such as RTI, Purview, and Copilot are fully leveraged. We also handle specialized integrations including D365, and migrations from Snowflake and Databricks to Fabric.
DevOps & Test Data Management
Enhance release velocity with Perforce-driven automation. We enable continuous integration and delivery, secure test data provisioning, and environment orchestration using BlazeMeter, Perfecto, Delphix, and Puppet for efficient and reliable test data management.
Data Security Services
Protect enterprise data across hybrid and multi-cloud environments using Purview and Perforce security frameworks. We implement access controls, data lineage tracking, and encryption policies to ensure compliance, integrity, and zero-trust alignment.
Data Governance & Compliance
Establish a single source of truth with Purview and Perforce Delphix, backed by our balanced data modernization and governance approach. We implement access controls, data lineage tracking, and encryption to ensure compliance with GDPR, CCPA, HIPAA, and more.
Skill Enablement Services
Drive effective enterprise-wide adoption with our FAIAD, CSIAD, and RTIAD workshops. We focus on cultural transformation, stakeholder enablement, and data literacy—helping teams embrace and sustain modernization initiatives.
Support & Managed Services
Ensure sustained performance with governance-led managed services. Our proactive monitoring, observability frameworks, and performance tuning ensure continued ROI and reliability across your data and analytics ecosystems.
As a Microsoft Solution and Fabric Featured Partner, LevelShift can help you secure ECIF funding and take advantage of Microsoft Azure Consumption Commitment (MACC) for your PoC and implementation.
Explore Funding OptionsIndustries We Serve
Our Data Modernization services empower organizations across industries to transform raw data into actionable insights, streamline operations, and drive innovation. We partner with businesses to tailor solutions that fit their unique data challenges:
Manufacturing
Streamline operations, optimize supply chains, and leverage predictive analytics for smarter production.
Financial Services & Insurance
Secure, compliant data strategies to enhance risk management, customer insights, and operational efficiency.
High Tech (IT & SaaS)
Modernize data infrastructure to accelerate innovation, scale AI, and drive performance.
Healthcare
Integrate and secure data to improve patient care, operational workflows, and research outcomes.
Retail
Unlock customer insights, optimize inventory, and personalize experiences to boost growth.
LevelShift Accelerators and Frameworks
Our data transformation strategies, accelerators, and frameworks fast-track data modernization, enabling organizations to unlock insights, optimize processes, and drive value across industries.
From domain-specific Power BI and Microsoft Fabric solutions to seamless Tableau migrations, our pre-built accelerators reduce implementation time and ensure rapid, measurable outcomes.
Power BI Industrial Insights Accelerators
Microsoft Fabric Accelerators
Tableau to Power BI Migration Accelerator
Customer Testimonials
FAQs
- Cloud Strategy: Select cloud, on-prem, or hybrid based on scalability and compliance.
- Performance: Enable real-time, high-volume data processing.
- Integration: Ensure seamless ETL/ELT across systems.
- Security: Apply RBAC, encryption, and regulatory compliance.
- Governance: Maintain data quality, lineage, and metadata.
- AI Readiness: Support ML, analytics, and predictive insights.
- Cost Efficiency: Optimize TCO and cloud spend.
- Automation: Implement DataOps, CI/CD, and IaC.
- Future-Proofing: Embrace Data Mesh and emerging tech.