Data Strategy Consulting

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

Gain control over how your data is collected, structured, and used with our data strategy consulting services. Our experts design practical strategies that connect analytics, governance, and business value.

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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 RELIABLE DATA CONSULTING PARTNER

LeverX is a global system integrator with over 20 years of experience delivering data-driven technology solutions. As a trusted data strategy consulting company, we help companies design and implement data strategies that connect governance, architecture, and analytics into one coherent framework. Our consulting services enable organizations to define clear data ownership, ensure quality standards, and build scalable models for long-term growth.

1,500+

successful projects

offices, 10+ countries

2,200+

employees

700+

certified experts

Data-driven decision-making depends on more than access to information. First of all, it depends on structure, consistency, and control. Without a coherent strategy, organizations face duplicated sources, compliance risks, and unreliable reporting. The question is not whether your company uses data. But whether it uses it correctly, consistently, and at scale.

LeverX supports enterprises in turning data management into a structured discipline. As part of our data strategy consulting services, we define ownership models, establish data quality standards, and design scalable architectures for analytics and automation. From governance setup to cloud migration planning, our consulting approach ensures your data ecosystem supports business goals and regulatory requirements alike.

Our Data Strategy Services

Every organization works with data. But not every organization manages it effectively. At LeverX, we help companies turn scattered systems, duplicate sources, and unclear ownership into a data environment that’s structured, transparent, and ready to grow.

Data assessment

What data you have, where it’s stored, or how it’s used — many companies don’t have a full understanding of this information. We start by mapping the current landscape. Then, our team identifies inconsistencies, quality gaps, and weak integration points. We review system connections, data flows, and storage methods to build a clear, factual baseline for the next steps.

Data strategy development

Even the best systems work in silos without a solid strategy. LeverX builds practical data strategies that define ownership, align with business goals, and set measurable outcomes. This includes governance principles, data quality standards, and technology recommendations that actually support decision-making across your company.

Data architecture and infrastructure planning

A solid data architecture ensures that information moves efficiently between systems. LeverX designs data models, integration layers, and storage architectures optimized for scalability and performance. We evaluate cloud, hybrid, or on-premise options and define the infrastructure blueprint that best fits your operational needs.

Implementation planning and roadmap

A strategy only works if it’s implemented correctly. We turn high-level goals into actionable steps — system integration, migration sequencing, and governance setup included. The outcome is a clear roadmap that connects business priorities with technical execution.

AI and Gen AI readiness assessment

AI projects often stumble because the data underneath isn’t ready. We help understand whether your company is ready to implement AI and generative AI. We do this by assessing your data quality, accessibility, and compliance. We also help companies build the right foundations, such as metadata, labeling, governance, and ethical standards, so AI models perform reliably from the start.

Data governance and compliance

Regulatory pressure and cross-border operations demand clear control over data. We design frameworks that define roles, responsibilities, and validation rules. LeverX ensures compliance with GDPR, CCPA, and other industry standards.

Analytics and insights enablement

Insights depend on how well data is structured and delivered. We build environments that connect your data with BI and visualization tools. This helps organizations shift from static reports to interactive dashboards, further turning information into timely, actionable insight.

Data quality management

When data is inconsistent or incomplete, entire processes can break down. We set up monitoring and validation mechanisms that keep quality high across all systems. Our approach includes cleansing, master data management, and automated checks to stop issues before they impact reporting or analysis.

Make data-driven decisions

Clear, consistent data replaces opinion with evidence. We create standardized datasets and single-source views so teams use the same numbers for planning and for execution.

Identify and seize market opportunities

Faster insight shortens the cycle from signal to action. We set up analytics pipelines and alerting that detect demand shifts and surface target segments within days, not months.

Win with revenue-focused insights

Analytics must link to revenue levers to matter. We map data to sales funnels and pricing models so leaders see which actions increase conversion and average deal size.

Improve customer outcomes and retention

Actionable customer profiles enable targeted interventions. We connect CRM, product, and support data to deliver timely offers, reduce churn, and raise lifetime value.

Optimize operations and reduce costs

Poor data creates rework and delays. We remove duplication, standardize master data, and automate reconciliation. This allows cutting processing time and lowering operating expenses.

Accelerate safe AI adoption and productization

AI requires curated, reliable data to work in production. We prepare labelled datasets, define model governance, and create deployment gates so models move from pilots to repeatable services.

We run Design Thinking workshops to connect data strategy directly to your business goals. This workshop is a fast way to learn how your organization uses data, where it breaks, what could improve its value, and other important information. Instead of starting from systems, we start from human needs and business outcomes. In a few structured sessions, ideas turn into testable use cases, priorities become clear, and strategy becomes something tangible.

As a result, the strategy is based on shared understanding and aligned with business goals. The workshop usually includes the following:

Understand user needs. Identify how different teams, customers, and decision-makers use and rely on data.
Map value flows. Analyze how data moves across processes to identify where bottlenecks or inefficiencies emerge.
Generate innovative ideas. Find potential use cases for analytics, automation, or AI.
Prototype solutions. Outline and test key data initiatives before scaling them across the organization.
Align strategy with business goals. Translate insights into measurable goals.
Create a clear roadmap. Design a plan that delivers both immediate wins and lasting improvements.

The outcome is a shared vision, validated priorities, and a practical roadmap to guide data-driven growth.

Our Related Services

Data strategy is part of a broader data transformation journey. LeverX provides complementary services that strengthen governance, architecture, and security:

Data management

LeverX establishes processes that define ownership, quality standards, and lifecycle rules. We ensure every dataset (from metadata management to master data maintenance) remains consistent, validated, and ready for use across systems.

Data integration

Our team designs integration frameworks that connect ERP, CRM, analytics, and external data sources into a unified environment. This ensures information flows accurately and in real time, supporting reliable analytics and operations.

Data modernization

Our data experts help move from outdated databases and rigid pipelines to scalable, cloud-native architectures, thus modernizing your company. However, the goal here is not only migration but also optimization 一 you receive cleaner data, faster access, and infrastructure built for analytics and AI.

Data security

We design security frameworks that protect data at rest, in motion, and in use. Our services include access control models, encryption standards, and compliance monitoring. As a result, your organization's information is protected from breach and misuse.

Industries We Serve

Our experience spans multiple industries where we’ve learned what truly drives results and what pitfalls to avoid when managing data at scale.

Industrial Manufacturing

Telecommunications

Oil, Gas, and Energy

Transportation and Logistics

Pharmaceuticals & Life Science

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

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.

SAP, AWS, Microsoft, Snowflake, and Databricks partnership

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

How do we keep data quality and governance on track?

Good data isn’t just a project — it’s a habit. It starts with clear ownership and simple rules for checking accuracy before data enters any system. Governance adds structure: standards, access rights, and regular reviews.

At LeverX, we’ve learned that the best results come from combining automation with accountability. Automated checks catch the routine issues; people handle the judgment calls. That balance keeps information accurate, compliant, and trusted across every team.

What is the typical timeline for implementing a data strategy?

It depends on many factors. But on average, defining the strategy takes from 2 to 10 weeks. After that, we move to phased execution. This phase can also run from several weeks to several

What results — and which KPIs — should we expect from a solid data strategy?

When a data strategy works, you can see it. Reports start running faster. Conflicting figures show up less often. Compliance audits become less stressful.

You also achieve shorter reporting periods, fewer duplicates, and less time spent resolving errors. And, since everyone is working from the same trusted data, over time, decision-making becomes clearer and operations smoother.

How do you integrate advanced analytics and AI into our data strategy?

Jumping straight into AI is a risky endeavor 一 it only works if the data is solid. That’s why before building any model, we make sure the data is complete, consistent, and ethically sourced.

Then, we define how analytics and AI fit into your workflows (for example, forecasting, customer insights, or automation). Once the data foundation is solid, adding advanced tools is not a challenge. It’s the next logical step, one that builds on work already done rather than replacing it

1

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.