data-strategy-consulting | Relevant Software

Data strategy consulting services

You might feel your data strategy lacks clarity, but clarity is closer than you think. Partner with our experienced data strategy consultants to quickly resolve uncertainty and bring structure to your data efforts. We build unified data architectures, implement robust governance frameworks, and streamline decision processes, resulting in accelerated insights, elevated performance, and exceptional business outcomes.

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Data strategy consulting services we offer:

Data strategy development

Convert data into a strategic advantage with expertly designed frameworks that foster business growth. Our data strategy consultants architect precise governance structures, compliance models, and advanced metadata frameworks aligned with your core business goals. Leveraging AI-driven classification and intelligent automation, we accelerate enterprise-wide performance, mitigate risks, and drive lasting competitive advantage.

Data architecture and infrastructure

Build a strong foundation for fast, reliable data. Through our data strategy consulting services, businesses can connect systems, remove silos, and ensure smooth data flow across teams. We use API-first design, real-time pipelines, and consistent data structures to reduce delays and duplication. With governance and full data lineage in place, you gain clearer insights and faster decisions.

Data integration and interoperability

Disconnected systems block insight and weaken operational control. With our data strategy consulting services, companies unify data across platforms via API-first architecture, real-time pipelines, aligned data models, and scalable integration patterns. We define governance structures with full lineage to ensure accuracy, consistency, and enterprise-wide analytical visibility.

Data qality and master data management

Make your data accurate, consistent, and fully trusted. Our data strategy consultants remove duplication, resolve errors, and align records across fragmented systems. Using smart matching tools, AI-powered anomaly detection, and rule-based validation, we establish a single, reliable source of truth. This foundation supports informed decisions, strengthens compliance, and improves analytics, operations, and enterprise reporting.

Big data strategy consulting

Massive data volume requires the right architecture. Our big data strategy consulting services focus on performance at scale. We build distributed systems with real-time access, clean structures, and full scalability. This foundation improves AI precision, enables faster analytics, and gives companies the flexibility to adapt, respond, and lead in data-driven environments.

Business intelligence and data visualization

Advance beyond static dashboards into dynamic, predictive decision-making. Our data engineers design and deliver real-time analytics ecosystems that integrate AI-powered anomaly detection, semantic data layers, and intuitive visual interfaces. With natural language queries and forward-looking analytics, we help organizations gain foresight, act with clarity, and drive strategic performance at every level.

Cloud data strategy and migration

Build resilient, scalable, and compliant cloud data environments optimized for performance. Our data strategy consultants and cloud engineers work with multi-cloud and hybrid platforms using infrastructure-as-code, containerized ETL pipelines, and intelligent workload orchestration. We embed cost-efficiency, advanced security, and data sovereignty controls, ensuring smooth migrations and long-term operational excellence.

AI and machine learning data strategy

Accelerate AI innovation with structured, trusted data pipelines. Our data strategy and consulting team designs sophisticated feature stores, transparent bias detection methods, and explainable AI frameworks. Through federated learning architectures, automated model retraining, and governance aligned to ethical standards, we deliver AI-ready data environments that ensure accuracy, transparency, and real-world impact.

Real-time and streaming data strategy

Turn real-time data into real-time action. We offer our data strategy consultancy to companies that require low-latency data infrastructure, enterprise-wide visibility, and unified architecture. Systems we build capture data in milliseconds, run instant analysis, and support use cases such as IoT telemetry, fraud detection, and AI-driven personalization — without delay or compromise.

Challenges our data strategy consulting services address

• Lack of a clear data strategy
• Data silos and poor integration
• Data quality, inconsistencies, and fragmentation
• Compliance and regulatory challenges

• Security and data privacy concerns
• Inefficient decision-making due to lack of insights
• Cloud data migration complexities
• Limited analytics possibilities due to data inconsistency

Why partner with our data strategy consulting company

Comprehensive in-house web services

Our data strategy consulting services cover the full spectrum of enterprise data transformation, from strategy development and architecture design to integration, governance, and AI-driven analytics. With an entirely in-house team, we eliminate third-party dependencies, which ensures full control over implementation and accelerated time to value.

Broad technological expertise

Our dedicated developers offer deep expertise in cloud-native data infrastructures, real-time data architectures, AI-driven analytics, and regulatory compliance. They structure AI-ready datasets, refine multi-cloud environments, and ensure regulatory adherence, delivering precision that creates measurable business impact.

Top-tier data strategy consultants

We staff our data projects with the top 1% of vetted professionals. These experts bring advanced knowledge in AI, cloud data architecture, and high-velocity analytics. Rather than delivering short-term fixes, our consultants engineer sustainable, enterprise-grade frameworks built to evolve with your business.

Award-winning partnerships

With over 200 successful software development projects, we help enterprises build resilient, future-ready data infrastructures. Our solutions improve accessibility, accuracy, and compliance, which ensures businesses stay competitive in data-driven markets. A 98% client retention rate speaks to the trust and results we deliver.

On-time, on-budget delivery

Our data strategy consulting firm follows Agile, DevOps, and data-centric methodologies to prevent scope creep and ensure disciplined execution. Structured governance, proactive risk management, and precision in implementation ensure seamless delivery on schedule, within budget, and aligned with business objectives.

Stable teams for long-term success

Long-term data success requires consistency in expertise. With an ~80% employee retention rate, our dedicated data strategy consultants remain engaged beyond initial implementation. This ensures knowledge continuity, continuous optimization, and seamless adaptation to modern technologies.

Let's build something exceptional together. Your journey starts with just one click!

Petro Diakiv

Business Development Manager

Anna Dziuba

VP of Delivery

What to Expect Next?

Our BizDev managers will reach out within 24 hours to dive deeper into your requirements and discuss your project idea.
If needed, we'll sign an NDA to ensure your project details are fully protected.
Our skilled software development experts will provide tailored advice and suggest the best development path.

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Success cases

FirstHomeCoach

Developing a SaaS platform that assists UK homebuyers

Fintech

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Wish Farms

Developing a React Native app for barcode scanning to streamline berry-picking experience

AgriTech

Plant City, Florida, USA

View case

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Engagement models

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Dedicated team

Extend your staff with remote specialists that are fully under your control. We take care of their administration and professional development.

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Product development

Bring your idea and commission a product. We handle everything from business analysis through the development and the product launch.

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FAQ

How does a good data strategy create measurable business value?

A comprehensive data strategy goes beyond basic data management. It aligns data initiatives with core business objectives and treats data as a strategic asset, not an operational byproduct. Companies that take this approach unlock tangible outcomes:

Faster decisions: High-quality data and advanced analytics enable teams to act with speed and precision.
Stronger compliance: Well-defined governance frameworks ensure alignment with regulations and reduce legal exposure.
Higher revenue: AI-led automation and predictive insights open new revenue streams and optimize existing ones.

What role does real-time data processing play in enterprise decision-making?

Real-time data flow removes decision latency by ensuring data reflects current conditions, not outdated snapshots. It improves business performance through:

Event-based data flow, built to support rapid response across volatile markets and diverse operational scenarios.
AI-led anomaly detection, essential for fraud prevention, predictive maintenance, and real-time pricing strategy.
Ultra-low-latency analytics, used to deliver immediate, data-driven decisions in time-critical environments.

How do you enforce enterprise-grade security while maintaining accessibility?

Balancing protection and usability remains essential — overly strict controls reduce efficiency, while weak safeguards create exposure. To achieve both, we:

Define governance models based on zero-trust principles to authenticate every interaction.
Apply encryption across data in transit, at rest, and in use.
Use automated compliance tools to uphold GDPR, HIPAA, and other regulatory requirements, ensuring full protection of digital assets.

How long does it take to develop and implement a data strategy?

Timelines vary based on several factors:

Data quality and structure: Inconsistent or inaccessible data requires cleanup and governance before delivering reliable insights.
Technology stack: Legacy infrastructure may need phased upgrades, while cloud-native setups allow faster rollout.
Regulatory demands: Heavily regulated industries must embed security, governance, and auditability from day one.
Business scope: Targeted use cases, such as fraud detection, move quickly. Full-scale architecture initiatives with complex dependencies require more time.

Can our existing BI and analytics platforms support an advanced data strategy?

Yes. We enhance, not replace, existing investments. Whether working with Power BI, Tableau, Looker, or custom-built analytics platforms, we optimize data pipelines, improve interoperability, and ensure seamless access to high-quality, real-time insights.