Data Integration Services

Name: leverX Company
Brand: LeverX
Rating: 4.9 (114 reviews)

Our data integration consulting services bring structure to distributed systems — standardizing data flows across ERP, CRM, and analytics platforms.

Check our portfolio

As an SAP Gold Partner, we provide access to resources and seasoned professionals, ensuring your project's reliability. Our expertise helps us tailor SAP solutions for your unique needs, optimizing ROI and efficiency.

Partnering with LeverX as an SAP Global Strategic Supplier goes beyond buyer-seller dynamics. We provide critical solutions for global operations, collaborate with you on product development, and drive strategic initiatives.

LeverX is a certified partner of the SAP Center of Expertise. This accreditation ensures our unwavering commitment to upholding SAP's highest standards. Our mission is to deliver excellence, providing unparalleled support, and facilitating the seamless integration of SAP solutions into your business framework.

As an SAP AppHaus Network Member, we help businesses solve complex problems, deliver exceptional user experiences, and drive digital transformation using design thinking and innovation expertise. We leverage SAP's best practices and cutting-edge tools to create user-centric solutions.

LeverX 一 Your Reliable Data Integration Partner

LeverX is a global system integrator with over 20 years of experience delivering end-to-end technology solutions. We help organizations connect fragmented systems and data sources into one coherent ecosystem. Our data integration services ensure seamless data flow across ERP, CRM, analytics, and external platforms, enabling consistency, accuracy, and real-time visibility for confident decision-making.

1,500+

successful projects

offices, 10+ countries

2,200+

employees

700+

certified experts

Modern companies run on multiple systems — ERP, CRM, analytics platforms, and custom applications. When these systems operate in isolation, data becomes inconsistent and decisions slow down. The challenge is not collecting information but connecting it. Reliable data integration turns disconnected sources into a single operational framework where information moves accurately and on time.

As a data integration company, LeverX helps enterprises design, build, and maintain data ecosystems that work as one. Our expertise covers data management services, data integration consulting, system architecture design, migration, and real-time synchronization across SAP and non-SAP environments. We have worked with organizations of different sizes and industries, helping them turn fragmented data into a reliable foundation for growth.

Consistent, reliable information

When systems speak the same language, the confusion between departments starts to fade. Finance, sales, and operations no longer argue over whose numbers are “right.” Instead, everyone pulls from the same data source. So, a report from accounting tells the same story as the one sales runs the next morning.

Faster, smarter decisions

Once data moves automatically between platforms, dashboards stop lagging behind reality. Metrics update on their own, sometimes within seconds, giving managers and executives the kind of visibility that used to take days. They can act on what’s happening now rather than waiting for someone to clean and merge spreadsheets. The result isn’t just speed — it’s clarity.

Less manual work, more meaningful work

Exporting and importing the same data over and over is one of the few things that drain productivity. Integration changes that rhythm entirely. Automated transfers handle those repetitive, low-value steps, leaving specialists free to focus on analysis, improvement, and creative problem-solving. The errors that come with manual work also drop sharply — not because people are more careful, but because they no longer need to copy and reconcile at all.

Smoother customer journey

When your CRM, ERP, and logistics tools are in sync, something clicks into place for your customers. Orders move through fulfillment faster. Service agents have immediate access to up-to-date account details. This means customers don’t have to repeat their story every time they reach out. So, integration shortens response times and results in consistency built across the entire customer journey.

Easy scaling

A connected data environment doesn’t just solve today’s inefficiencies. It prepares a business for tomorrow. For instance, you don't have to rebuild your entire architecture when you need to add a new tool. You just plug it in. This flexibility allows for more efficient growth and far more predictable costs.

Stronger analytics, sharper forecasting

When your data is consolidated, your analytics also improve. Your system can uncover genuine trends and predict outcomes with greater accuracy. As a result, you get the insights needed to plan strategic actions with precision.

Our Data Integration Services

Here is what our data integration consulting services include:

Strategy & consulting

First, we listen. Our experts analyze your current systems and goals. Then, they build a practical, tailored roadmap. As a result, you have a clear plan that fits your business processes and IT landscape. This ensures your integration delivers real impact.

API & custom integration

Need to connect a legacy system to a modern platform? We build custom APIs and connectors designed for performance and scale. This automates your data flow, eliminates manual work, and finally lets your applications talk to each other smoothly.

Cloud & hybrid integration

We seamlessly bridge your on-premise systems with cloud platforms (for example, SAP BTP, AWS, and Azure). This allows for secure, synchronized data exchange across your entire environment. You can adopt the cloud at your own pace, without disrupting daily operations.

ETL process design

We also build automated ETL (extract, transform, load) pipelines that gather, clean, and prepare your data for analytics or AI. You’re left with high-quality, structured information and ready for reporting and built to adapt as your needs change.

Real-time & big data integration

Move beyond batch processing. We implement streaming solutions for high-volume data from operations, transactions, or IoT devices. This gives you immediate insight, allowing your business to react to events as they happen.

Data migration & modernization

At LeverX, we handled many migrations from legacy databases and applications to modern systems. We plan carefully, validate every step, and keep downtime to an absolute minimum. The payoff is a seamless shift to modern infrastructure that keeps the business moving while laying the groundwork for what’s next.

Data warehousing & architecture

Our team designs centralized data warehouses that bring all your information together. This creates a solid foundation for BI tools and AI, turning scattered data into reliable, actionable analytics.

Security & compliance

We build compliance with standards like GDPR into every integration. Using encryption, access controls, and monitoring, we protect your sensitive data at all times, blending technical rigor with practical enforcement.

Maintenance & support

Our work doesn’t end at launch. We provide ongoing monitoring and support to keep your data flows stable and accurate. We’re here to fix issues and adapt your integrations as your business evolves.

Data Integration Strategies That Fit Your Business Reality

No two companies handle data the same way. Each one runs on its own mix of systems, goals, and limitations, so a cookie-cutter approach just doesn’t work. That’s why every integration project we design starts with understanding how your business actually operates — not just how it looks on paper.

Our job is to find the most practical mix of methods, deployment models, and connections so your data stays accurate, available, and genuinely useful day to day.

Integration by data source

We help you bring together information from wherever it lives. This ensures every team works from the same reliable set of facts.

Databases. Connect structured data from SQL or NoSQL databases for direct, query-ready access.
Files. Automate imports from spreadsheets, CSVs, and logs. No more manual uploads.
Cloud storage. Pull data from platforms like AWS S3 or Azure Blob into a centralized hub.
Data APIs. Use data APIs to pull or sync information in real time between business applications.
Public data. Enrich your analysis by weaving in relevant third-party or open datasets.
Business apps. Unify data from your ERP, CRM, and other systems. Receive a complete operational picture.

Integration by Method

How you move data affects everything from speed to flexibility. For a smooth flow, we help you choose the right technique.

ETL (Extract, Transform, Load). Ideal for structured reporting. Data is shaped and cleaned before being loaded into its destination.
ELT (Extract, Load, Transform). Better for scale. Data is loaded first, then transformed within the target system for faster processing.
Data virtualization. Skip physical movement altogether. Query data from multiple systems in real time without creating duplicates.
Data propagation. Replicate or synchronize datasets across platforms to keep everything consistent and reliable.

Integration by Deployment Model

Where your integration runs shapes how much control you have and how easily you can scale. Some organizations keep everything close for security. Others go fully cloud to stay agile. Most land somewhere in between.

On-premises. Keep everything within your own infrastructure. Get maximum oversight and compliance.
Cloud. Use fully managed platforms for flexibility, easy scaling, and less maintenance.
Hybrid. Mix on-premises and cloud. Strikes a balance between cost, control, and resilience.

Integration by Data Storage Type

Your storage architecture shapes how you find and use information. Picking the right model sets the stage for powerful insights.

Data warehouse. A clean, structured repository built for reporting and business intelligence — think of it as a well-organized library where every number has its place.
Data lake. Flexible storage that handles both structured and unstructured data.
Data hub. A central connector that links multiple sources and destinations (while maintaining consistency and governance).

Assessment

We start by analyzing your current data landscape to identify challenges and opportunities.

Current environment analysis: Review databases, applications, file systems, and existing integration points.
Dependency mapping: Identify interdependencies between data sources, workflows, and systems.
Risk identification: Highlight potential performance, security, or compliance risks in data flows.
Readiness evaluation: Determine which datasets, applications, and systems are ready for integration or require transformation.

Step 1

Planning

Next, we define the strategy, scope, and requirements for your integration initiative.

Integration strategy definition: Decide on ETL, ELT, real-time streaming, or API-based approaches for each system.
Resource sizing and cost estimation: Identify infrastructure, storage, and processing needs and forecast costs.
Timeline and milestone planning: Develop a detailed schedule with dependencies, deliverables, and success criteria.
Compliance and security planning: Ensure all integration workflows meet regulatory requirements and internal policies.

Step 2

Architecture design

We design a scalable, resilient, and secure integration architecture tailored to your environment.

Target environment design: Define data pipelines, storage, and processing layers for performance and reliability.
High availability planning: Include redundancy, load balancing, and failover strategies.
Security architecture: Implement encryption, access control, and auditing for all data in motion and at rest.
Integration design: Plan connectivity between on-premises systems, cloud platforms, SaaS, and third-party applications.

Step 3

Pilot integration

Before full implementation, we test and validate critical workflows to minimize risk.

Workload selection: Choose representative data sources and pipelines for testing.
Integration execution: Deploy pilot pipelines in a controlled environment.
Validation and testing: Check data quality, transformation accuracy, performance, and compliance.
Adjustments and refinements: Update configurations, scripts, and workflows based on pilot results.

Step 4

Full integration deployment

After validation, we implement end-to-end integration across all systems. We use DataLark, our proprietary data management solution, to ensure efficient data integration through:

Pipeline execution: Deploy all planned data flows according to the approved design.
Data transfer and synchronization: Ensure accurate, real-time or scheduled replication between systems.
Application and workflow configuration: Enable applications and services to consume integrated data correctly.
Integration verification: Conduct functional, performance, and security testing before full production use.

Step 5

Ongoing support & optimization

We maintain, monitor, and enhance the integration environment for long-term reliability.

System monitoring: Track performance, data accuracy, and availability using automated tools.
Optimization and tuning: Improve pipeline efficiency, reduce costs, and enhance scalability.
Troubleshooting and issue resolution: Identify and fix any data or system issues quickly.
Documentation and knowledge transfer: Provide runbooks, operational guides, and training for in-house teams.

Step 6

Timing and precision matter most in manufacturing. Integration links production, supply chain, inventory, and quality systems, thus allowing managers to see what’s happening on the floor as it happens. With connected data, downtime drops, bottlenecks disappear sooner, and resources go where they’re needed most.

A few examples:

Syncing ERP and MES systems so production data isn’t scattered;
Keeping warehouse inventories up to date automatically;
Pulling IoT data from machines to spot performance issues;
Bringing supplier and procurement info into one view;
Using combined data to plan maintenance before things break.

Why LeverX?

Proven track record

For over 20 years, we have helped businesses worldwide succeed with SAP. We’ve already completed 1,500+ projects for over 900 clients, including top names on the Fortune 500 list.

Industry experts

The LeverX team comprises professionals with hands-on knowledge in 30+ industries, including manufacturing, logistics, and oil and gas.

SAP partnership

We implement SAP projects end-to-end  and collaborate with SAP on the development and enhancement of its existing solutions.

Quality and security

LeverX operates in compliance with international standards such as ISO 9001, ISO 27001, ISO 22301, and ISO 55001, ensuring reliability and quality in every project.

Investment in innovation

We actively integrate advanced technologies, such as Data Science, IoT, AI, Big Data, Blockchain, and others, to help clients efficiently address their business challenges.

Flexibility

Our team is available 24/7, which enables us to quickly deploy projects, maintain process transparency, and adapt each development phase to meet your specific requirements.

Frequently Asked Questions

Why do companies struggle with data integration?

Most problems are rather organizational than technical. Different teams use their own systems, their own formats, and update schedules that rarely line up. Over time, that creates silos. Data doesn’t match, reports contradict each other, and decisions get made on unreliable numbers.

At LeverX, we’ve seen this pattern in every industry. The fix isn’t a single tool but a clear framework: one that aligns architecture, workflows, and validation so that all systems speak the same language and data stays trustworthy.

How does LeverX ensure data quality during integration?

We build quality in from the start, not after the fact. Every integration pipeline includes validation rules, transformation checks, and error handling that catch issues early. Automated monitoring does the routine work — spotting inconsistencies, flagging missing data — while reconciliation steps make sure wrong entries don’t spread through connected systems.

What you get in the end isn’t just “clean” data but data that holds up under pressure: reliable for analysis, decision-making, and day-to-day operations.

What industries benefit most from data integration?

Pretty much any business that runs on information — which is to say, all of them. Financial institutions rely on consistent data for compliance and reporting. Manufacturers use it to keep production and supply chains aligned. Retailers track sales, inventory, and customer behavior in one view. Healthcare and public organizations need it to coordinate services and meet regulations.

LeverX has worked across these sectors long enough to know that each one needs a slightly different approach. The principles are the same, but the priorities aren’t.

How long does a typical integration project take?

It varies — and anyone who says otherwise is guessing. Smaller projects that connect a few systems can wrap up in weeks. Larger, enterprise-wide integrations take longer, sometimes months. What matters is the structure: at LeverX, we break the work into stages — assessment, pilot, full rollout, and optimization. That way, organizations start seeing value early on, instead of waiting until everything is finished.

1

An expert will reach out to you to discuss your specific needs and requirements.
2

We'll sign an NDA to ensure any sensitive information is kept secure and confidential.
3

We'll work with you to prepare a customized proposal based on the project's scope, timeline, and budget.