Data Analytics Consulting

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

Turn raw business data into reliable insights that support faster, data-driven decisions.

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 — YOUR DATA ANALYTICS PARTNER

LeverX is a global technology partner with more than 20 years of experience delivering data analytics and enterprise data management solutions. We design and implement scalable data architectures that collect, integrate, process, and visualize information from multiple business systems.

Our expertise covers data integration, analytics, reporting, and data management across ERP, CRM, and industry-specific platforms. We help organizations establish trusted data environments that improve data quality, transparency, and access to actionable business insights.

Our data analytics services include:

Data strategy and architecture — define scalable analytics architectures aligned with business objectives and technology landscapes.
Data integration — connect ERP, CRM, cloud, and industry-specific systems into a unified data environment.
Data management and governance — improve data quality, consistency, ownership, and accessibility.
Business intelligence and reporting — transform operational data into clear dashboards, reports, and performance insights.
Advanced analytics and AI — apply predictive analytics, machine learning, and AI to identify trends, risks, and opportunities.
SAP analytics solutions — leverage SAP Datasphere, SAP Analytics Cloud, SAP HANA Cloud, and related SAP technologies for enterprise analytics.

1,500+

successful projects

offices, 10+ countries

2,200+

employees

500+

certified experts

27% of Big Data Projects Generate Visible Profit

Analytics creates value only when insights drive business action. Projects tied to defined objectives — revenue growth, cost reduction, or process optimization — deliver tangible financial returns.

5% Higher Productivity in Data-Driven Organizations

Reliable, structured data eliminates redundant tasks and guesswork. Unified performance metrics help teams prioritize effectively and complete work faster.

23× More Likely to Win New Customers

Organizations that apply data analytics to market behavior identify emerging trends earlier. That awareness lets them act on demand shifts before competitors do.

85% of Companies Improve Customer Experiences

Timely insights into customer behavior enable immediate, relevant responses. Real-time analytics helps businesses adapt to each interaction instead of reacting after the fact.

58% Increase in Retention from Real-Time Analytics

Monitoring live behavioral signals exposes early signs of disengagement. Quick intervention based on these indicators helps maintain customer loyalty and long-term value.

64% Efficiency Improvement with Structured Analytics

Integrated data systems remove delays caused by inconsistent information. Teams operate with shared visibility, reducing rework and shortening decision cycles.

Our Data Analytics Consulting Services

We help organizations make data a consistent, trusted driver of business intelligence. Our services focus on turning fragmented information into structured insights and enabling confident, data-supported decisions.

Data modeling

Reliable analytics starts with a clear data model. Our data analysts work with business stakeholders to gather reporting and analytical requirements, define metrics, and translate them into detailed specifications for data engineering teams. Based on this input, we design logical and analytical data models that reflect real business processes. These models serve as a stable foundation for BI, visualization, and advanced analytics.

Business intelligence & analytics

Organizations often collect information faster than they can convert it into actionable insight. We help companies establish BI frameworks that define what to measure, how to measure it, and how analytics supports day-to-day operations. Our work includes KPI definitions, reporting logic, role-based access, and dashboard development using tools such as Power BI, Tableau, Looker, and custom enterprise BI solutions. The result is a consistent BI environment that reduces manual reporting and provides decision-makers with reliable, business-ready insights.

Data visualization & UX

Effective visualization is as much about usability as it is about data. Our DataVizers work closely with clients to understand how different users consume information and what decisions they need to make. We design visual concepts, mockups, and interaction patterns that translate analytical results into intuitive, easy-to-navigate dashboards. This UX-focused approach ensures that insights are not only available but also understood and used across the organization.

AI & advanced analytics

Modern organizations need to understand not only what has happened, but what will happen next. We apply statistical models, machine learning algorithms, and predictive techniques to reveal patterns that influence performance, risk, and demand. Our specialists build reliable models that forecast trends, highlight early indicators, and support scenario-based planning. Every solution is grounded in practical business use cases, ensuring AI enhances processes with measurable value.

Tell us about your current data challenges or upcoming initiatives.

Our data and analytics consulting team will assess your environment, identify practical opportunities for improvement, and propose solutions aligned with your business goals.

Let’s talk

Henry Traverso

Director of Client Solutions

The banking and finance sector operates at high velocity, handling massive transaction volumes, risk exposures, and regulatory requirements. Data analytics helps institutions transform raw transaction logs, customer behavior data, market feeds, and operational metrics into timely insights that support risk management, compliance, customer experience, and strategic decisions.

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.

Quality and security track record

LeverX operates in compliance with international standards such as ISO 9001, ISO 27001, ISO 14001, 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.

SAP, AWS, Microsoft, Snowflake, and Databricks partnerships

LeverX partners with SAP, AWS, Microsoft, Snowflake, and Databricks to deliver end-to-end implementations and unified data environments. This ensures future-ready data management across cloud and hybrid ecosystems.

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

What tools and technologies do you use for data analytics and visualization?

We don’t pick tools first. We always start by looking at your data, your goals, and the systems you already use. This helps us decide on a toolkit that will deliver accurate and timely insights.

As for tools themselves, we implement BI solutions, cloud data platforms, and analytics pipelines using Power BI, Tableau, or Looker, and processing frameworks (like Snowflake or Databricks) where needed. LeverX also holds partnerships with AWS, Microsoft, Snowflake, and Databricks. Thanks to this, we can promise smooth integration, alignment with security standards, and that your systems will scale as your business grows.

Does implementing a data analytics strategy take much time?

It depends on many factors, for example, the scope of work, your infrastructure, and data complexity. Small projects can be finished in a few weeks, while large projects (with multiple systems and teams) usually take several months.

Does LeverX offer customized analytics solutions tailored to our industry?

Yes. We have extensive expertise in helping businesses from different industries, and we understand that every sector has unique challenges and priorities. Manufacturing companies, for example, are more interested in efficiency and supply chain metrics. In retail, customer behavior and inventory turnover are the main concerns. That's why we adapt frameworks and models to make insights actionable for your sector.

Do you provide support after the analytics solution is implemented?

Of course. We provide continuous monitoring and maintenance. Performance optimization (for example, updating dashboards, refining predictive models, and integrating new data sources) is also included in this offering.

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.