Data Consulting Services
We connect the established SAP core with the modern cloud ecosystem to give companies a single, reliable path to data-driven decisions. LeverX helps enterprises modernize without risk and innovate without breaking what already works.
LeverX is a global technology partner with over 20 years of experience in data-driven enterprise solutions. Our unique strength is the ability to bridge SAP landscapes with modern cloud platforms such as Snowflake and Databricks. As a trusted data consulting company, we help organizations define clear data strategies, build scalable architectures, and ensure accuracy across all systems. Our expertise covers the full data lifecycle, from integration and governance to analytics and visualization, so companies can rely on consistent, verifiable insights for confident decision-making.
What Happens When Businesses Start Trusting Their Data
Our Data Consulting Services
Data strategy and advisory
Many organizations collect more data than they can use. We define a strategy that connects data work to business priorities. This includes setting objectives, mapping capabilities, and creating a roadmap that guides future investments.
Data architecture
Fragmented systems slow decision-making and complicate analytics. We design scalable architectures that connect sources, streamline data movement, and support long-term growth. The result is a stable foundation for every data initiative.
Data engineering and development
Manual data preparation drains time and introduces errors. Our engineers build automated pipelines that handle ingestion, cleaning, transformation, and integration. This ensures that data is consistent, accessible, and ready for analysis.
Data warehousing
Scattered datasets make reporting slow and unreliable. We consolidate data into centralized warehouses that provide a single source of truth. Teams gain faster access to metrics and clearer visibility into operations.
Data analytics and business intelligence
Raw data only becomes useful when it answers specific questions. We create dashboards, reports, and analytical models that highlight patterns and support daily decisions. Teams get the clarity they need without digging through unstructured information.
Data science and advanced analytics
Historical reports describe the past. Advanced analytics helps anticipate the future. We build predictive and statistical models that reveal trends, detect anomalies, and support forward-looking planning.
Data management
Unreliable data leads to unreliable decisions. We establish governance rules, quality standards, and controls that keep information accurate and consistent across systems. This helps organizations avoid rework and maintain trust in their data.
Data migration
Legacy platforms hold valuable data that must be moved without disruption. We plan and execute migrations that preserve structure, quality, and security. This ensures a smooth transition to modern systems and prevents data loss.
Data operations and support
Data systems require ongoing care. We provide monitoring, maintenance, and operational support to keep pipelines stable and secure. This lets internal teams focus on analysis rather than troubleshooting.
LeverX’s Approaches to Data and Analytics
We don’t treat data work as a set of disconnected tasks. We build complete data platforms that continuously deliver trusted, governed, and business-ready data products. This creates a stable foundation for informed decisions and for any future AI initiatives.
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Assessment and strategy
Every project begins with a clear analysis of your current state. We gather functional and technical requirements and help you choose the right architecture — from classic data warehouses to modern lakehouse platforms. The goal is to define what the platform must support and how it should evolve. -
Designing the foundation (data governance)
A reliable platform needs strong governance from day one. We create or refine policies, naming standards, access rules, and operating procedures. This ensures consistency, security, and compliance before any development work begins. -
Architecture and integration
We design the full data flow across your systems. Clear data contracts define how sources interact with consumers, reducing breaks and misunderstandings. Stable integrations give your teams confidence that the right data arrives in the right place. -
Development and DataOps
We build pipelines using modern data modeling approaches and CI/CD practices. Automated tests and monitoring are included by default. This keeps data quality high and helps teams spot issues early. -
Cataloging and data discovery
Data has value only when people can find and understand it. That is why we document and catalog new assets as we build them. This makes your platform transparent, searchable, and accessible to all authorized users. -
Delivering value (The Business Layer)
The final layer transforms raw data into something your teams can act on. We develop semantic models, dashboards, and data marts that support reporting, advanced analytics, and predictive workloads. This is where business value becomes visible. Our approach is based on DAMA DMBOK best practices and our experience with the Modern Data Stack. It ensures your data systems stay structured, scalable, and ready for future growth.
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What Our Customers Say
Tony Azevedo
Chief Executive Officer, 6-8 Sports
Jenn Sparks
Director of operations, CPG Data
Tim Flaherty
Executive Vice President, CFO, Enable Injections, Inc.
Rohan Ponnekanti
Manager, Business Systems, i-PRO Americas Inc.
Caleb Thomas
Product Systems Administrator, Pilgrim's PridePilgrim's Pride
Shahaf Yaari
SAP-TM Department Manager, ZIM Integrated Shipping Services Ltd.
Eduardo Gomez
Director at Cipher Business Solutions
Don Mackenzie
SAP Practice Lead, C&A Technology LLC (CAT)
Industries We Serve
Why LeverX?
Proven track record
Industry experts
SAP partnership
Quality and security track record
Investment in innovation
Flexibility
Frequently Asked Questions
Why are data services critical for modern businesses?
Because today, every company is a data company — whether it admits it or not. Decisions, customer behavior, and operations 一 all of this generates information that holds value. The problem is not the lack of data but the lack of structure, clarity, and trust in it.
Data services bring order to that chaos. They connect systems, clean inconsistencies, and help leadership see what’s really happening behind the numbers. With the right approach, data stops being a byproduct of business and becomes its main driver. That’s why modern organizations treat data services as infrastructure, not an optional toolset.
How do we ensure a Data Science project succeeds?
What does your typical process look like?
We always start with a conversation, because we first need to understand your business goals and the data you already have. Then, we analyze your current systems. During this analysis, we spot the gaps and define what success actually looks like. The next step is designing the solution. Solutions can be different, for example, data pipelines, analytical models, or dashboards.
Then, we build and integrate the solution. But we don't just hand it over and leave. During the final phase, we validate the results, train your team to use the new tools, and provide ongoing support. Every engagement is different, of course. But this approach ensures we blend strategy, engineering, and analytics to fit your unique situation.
How quickly can we start seeing results from data consulting services?
What makes LeverX different from other data service providers?
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What happens next?
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An expert will reach out to you to discuss your specific needs and requirements.
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We'll sign an NDA to ensure any sensitive information is kept secure and confidential.
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We'll work with you to prepare a customized proposal based on the project's scope, timeline, and budget.
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