Unlock the Value of Data With Our Big Data Consulting Services

For over a decade, we’ve worked closely with diverse clients—from disruptive startups to Fortune 500 leaders—empowering them to navigate the complexities of the data landscape through our big data consulting services.

We work closely with you to thoroughly understand your business needs, extracting the value hidden within your datasets and fostering data-driven decisions.

This enables us to provide comprehensive support across the entire big data life cycle, encompassing data strategy, architecture, and infrastructure design, robust engineering solutions, and ongoing maintenance and management.

Big Data Consulting Services We Offer

Big Data Consulting

Our experienced consulting team is here to help you transform your data into a powerful asset and build a seamless solution that yields tangible data value and actionable business insights. Our experts carefully assess your current data landscape, from your data sources, flows, and pipelines to your existing infrastructure. We meticulously evaluate your business objectives and pinpoint every valuable detail, determining what works best for you and what needs to be optimized or removed.

We then assist you in developing a comprehensive data strategy, architecture, and infrastructure. Our approach is perfectly aligned with your capacity and unique requirements, and goes beyond by engineering, maintaining, and managing your data ecosystem. 

Big Data Consulting

Big Data Strategy and Roadmap

We utilize our in-depth data knowledge and vast experience to equip you with a comprehensive data strategy and roadmap to your eventual success. Our experts discover your current data maturity and conduct ROI estimation to ensure your data initiatives will be profitable, while selecting the right tech stack and defining a tailored data governance model. We leverage enterprise architecture and proven frameworks like TOGAF to blueprint an optimal data strategy that will guide you to a highly efficient data environment and cost-effective data utilization.

Big Data Strategy and Roadmap

Architecture for Big Data

Utilize our extensive technical expertise to design a data architecture that’s efficient, scalable, and tailored to your specific needs. Our expertise spans various architecture types—from cloud-based, event-driven, or edge computing solutions to real-time systems with comprehensive Lambda or Kappa utilization. Our guidance provides you with the complete solution for building a robust architecture from scratch or enhancing your existing one to ensure a continuous flow of high-quality data.

Architecture for Big Data

Big Data Infrastructure

We assist you in evaluating and implementing a robust, cost-effective system that aligns directly with your strategic goals. Starting with a comprehensive total cost of ownership (TCO) analysis to ensure you’re making a smart financial investment, we then proceed with blueprint development, integration consultancy, data governance, and security enhancements. We handle on-premise, cloud-based, hybrid, and edge infrastructure solutions, among others, providing you with an expert view on successful implementation of the system that brings results.

Big Data Infrastructure

Data Management

Within our big data management service, our expert team builds and configures a complete big data environment tailored to your unique business requirements. Guided by a comprehensive data strategy, we install data architecture and infrastructure and handle data governance and security to ensure your data is collected, transmitted, and stored correctly for smooth flow and high quality.

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Data Management

Big Data Support and Maintenance

Our support and maintenance services are designed to manage your big data infrastructure and vast datasets with complete confidence, allowing you to consistently extract the business insights and sustained value you need to succeed. Leveraging years of experience, we ensure stable operations, high-level security, and a streamlined data flow for your entire big data ecosystem, guaranteeing reliable and uninterrupted operations of your infrastructure.

Big Data Support and Maintenance

Data-Powered Growth for Every Industry

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Big Data Solutions We Provide

  • Data governance icon

    Data Governance

    Ensure your data is always accurate, trustworthy, and protected with our data governance solutions. We establish and implement a robust data governance framework that defines your data, its quality, and how it flows throughout your organization. Within our solutions, we set clear data policies and regulations—including compliance with standards like HIPAA and GDPR—and build a fortified security layer.

  • Data migration icon

    Data Migration and Modernization

    Optimize your storage and migrate your data with confidence, guided by our expert team. Before taking any action, we carefully assess your data environment, processes, and business objectives. We then create storage solutions and migrate your data smoothly and securely, minimizing interruptions to your operations. Whether it’s from on-premise to cloud, between enterprise systems, or across various platforms, our migration enables you to effectively manage your big data.

  • Security icon

    Security

    Fortify your data environment with our extensive security guidance. We implement high-level security measures across your entire data infrastructure, safeguarding your valuable data assets from both prevalent and advanced cybersecurity threats. Our proactive approach ensures your big data ecosystem remains resilient and protected, while your data brings you tangible insights and sustainable business growth.

  • Analytics and Scaling icon

    Analytics and Scaling

    Make precise, data-driven decisions with the assistance of our analytics and scaling solutions. By organizing your unstructured data into orderly datasets and conducting comprehensive, end-to-end analysis, we extract the most valuable insights for your business. Additionally, our capacity and expertise in high-level scaling ensure that your data environment can grow effortlessly with increasing data volumes and evolving business demands.

  • Cloud-based big data management icon

    Cloud-based Big Data Management

    Embrace the unparalleled flexibility, efficiency, and scalability that cloud-based big data solutions offer for your operations. We recognize the undeniable advantages of cloud-based data platforms—including lower entry costs, reduced complexity, and faster time to value—and specialize in configuring and implementing leading solutions from our official cloud service provider partners Google Cloud, AWS, Azure, and IBM Cloud. 

  • ML and Data Analytics icon

    ML and Data Analytics

    Extract deeper, more valuable insights from your data, leveraging cutting-edge machine learning models. We automate complex manual workflows and conduct more sophisticated, faster data analytics, empowering your business to exceed traditional reporting and make truly data-driven decisions.

Big Data Solutions Partners

We’re proud to partner with leading global organizations that provide cloud infrastructure for big data consulting. This motivates us to excel and offer our clients better big data consulting services.

Big Data Consulting Process

1

Strategic Alignment and Goal Defining

Our consultants conduct a comprehensive discovery process of your business processes, existing data operations, pipelines, and workflows. They pinpoint every significant detail and identify all potential gaps and benchmarks to develop the most effective and optimal solution for your data infrastructure.

2

Architecture Blueprinting and Data Strategy Designing

We meticulously examine data formats and conduct ROI estimations for your data initiatives, while selecting the best-fit tech stack and developing a blueprint for your efficient data system. Our consultants leverage proven frameworks such as TOGAF to design cloud-based, event-driven, and real-time architectures that inherently support data quality and ensure seamless execution.

3

Data Governance and Infrastructure Preparation

Our data engineers guide you through the peculiarities of the data infrastructure evaluation and planning. They conduct total cost of ownership (TCO) analysis and advise on defining a tailored data governance model, data storage solutions, and regulatory compliance support such as GDPR and HIPAA. Regardless of the type of infrastructure, we assist you with on-premise, cloud-based, hybrid, and edge solutions, ensuring that your infrastructure aligns seamlessly with your business objectives and delivers tangible results.

4

Integration Strategy

Within our consulting services, we assist you in implementing data solutions that elevate your business environment. Our team designs and builds APIs and integration layers and establishes robust data orchestration to guarantee operational effectiveness. Furthermore, we train data stewards tailored to your organizational structure to ensure your data ownership in daily workflows.

5

Continuous Optimization

Our consultants accompany you in your data operations, conducting regular assessments of the performance and precision of the results. By continually monitoring and analyzing your data flow, we identify places for enhancement and optimization, ensuring cost-efficiency and profitability. Our continuous advisory support works closely with you to dynamically and rapidly address data-related challenges and improve the overall data operations to empower business growth.

Big Data Consulting For Industries

  • Enterprise Software icon

    Enterprise Software

    • Reinforcing HRM, staffing, and recruiting software
    • Enhancement of benefits management solutions
    • Advance of business processes automation (BPA) systems
    • Secure and compliant enterprise data storages
    • Consistent data architecture ready for scale
    • Streamlined operational data processing
     
  • Finance and Banking icon

    Finance and Banking

    • Quicker extraction of real-time stock market insights
    • Efficient big data processing for fraud detection
    • Background for intelligent, algorithmic trading
    • Big data for deep personalization and customization
    • Acceleration of liquidity analysis and risk management
  • healthcare icon

    Healthcare

    • Collection and real-time processing of health data
    • Personalized, value-based, patient care
    • Foundation for predictive analytics
    • Efficient use and handling of EHRs
    • Accessibility and security of PHI for authorized personnel
  • Marketing and advertising icon

    Marketing and advertising

    • Data centralization across marketing channels into a single repository
    • Aggregation of big data, extraction of dependencies and insights
    • Real-time budget redistribution and optimization
    • Smart audience segmentation and personalization
    • Automated, real-time big data collection and instant processing
  • Education icon

    Education

    • Processing data on students’ achievements, behavior, and ranking
    • Metadata enrichment and e-book management
    • Building enterprise data vault for future analytic solutions
    • Personalized student experiences
    • Video captioning and accessibility
    • Empowering your learning management system (LMS)
  • Logistics and Supply icon

    Logistics and Supply

    • Consolidation of real-time GPS and weather data in a single system
    • Vehicle diagnostics, driving patterns, and location tracking data
    • Data-driven automation of warehouse operations
    • Improving lean manufacturing with real-time data from various sensors and devices
    • Intelligent, real-time routing of deliveries and distribution
  • Retail and e-commerce icon

    Retail and e-commerce

    • Data for demand forecasting and precise targeting
    • Analysis of sales personnel performance and profitability
    • Intelligent inventory management and supply chain planning
    • Data consolidation from PoS systems, in-store sensors, and cameras
  • Insurance icon

    Insurance

    • Accuracy improvement of risk assessment
    • Increasing performance of fraud detection
    • Customer data integration and client insight extraction
    • Efficient claims management
    • Flexible data and analytics infrastructure
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Contact Us to Discuss Your Big Data Needs

Contact us   

Engagement Models

  • Consulting Service

  • Team Extension

  • Fractional CTO Advisory On Demand

Consulting Service

Utilizing our in-depth knowledge of big data and technical expertise, our big data consultants define precisely tailored solutions, tools, and technologies that best fit your unique business requirements. Within the service, our specialists provide strategy and roadmap consulting, assessing your current data maturity, and estimating ROI.

They then provide architecture and infrastructure consulting, helping to manage cloud-based, event-driven, and real-time systems, as well as offering total cost of ownership analysis. Additionally, we provide data governance consulting, helping you sustain data governance frameworks, as well as policies and regulatory compliance such as HIPAA and GDPR.

Team Extention

We assemble a turn-key team specifically for your business, designed to seamlessly increase your in-house capabilities, accelerate development, and significantly decrease the time to value of your big data solutions. It can be a rare technological expert—such as an architect or business analyst—that your in-house team lacks, a few senior consultants dedicated to your internal business unit, or a team of advisory experts who embed themselves into your in-house team to elevate your technical capabilities and provide you with knowledge transfer.

Fractional CTO Advisory On Demand

We lend a part-time chief technology officer (CTO) for your needs, enhancing your data operations with seasoned expertise and innovative technologies. As a temporary part of your team, the CTO helps you to develop a comprehensive data architecture and infrastructure, perform total cost of ownership analysis, and launch data-driven MVPs. Providing you with technological guidance, the CTO establishes robust data governance frameworks and implements best DataOps practices to elevate your project delivery velocity. Ultimately, you gain cost-effective, agile leadership that mitigates technical risk, ensures regulatory compliance, and provides a clear roadmap to boost business growth.

Relevant Case Studies

We really care about project success. At the end of the day, happy clients watching how their application is making the end user’s experience and life better are the things that matter.

View all case studies

AI-Driven Application for Mental Health Support in the US

Healthcare

Success Story AI-Driven Application for Mental Health Support in the US image

AI-powered Solution for Reviewing and Rating Books

Education

Success Story AI-powered Solution for Reviewing and Rating Books  image

Pharmaceutical Software Modernization and AI Implementation

Healthcare

Success Story Pharmaceutical Software Modernization and AI Implementation image

AI Voice Assistant Secures Funding for Music Production Startup

Entertainment

Success Story AI Voice Assistant Secures Funding for Music Production Startup image

AI Integration: Streamlining Accreditation Workflow in Education

Education

Success Story AI Integration: Streamlining Accreditation Workflow in Education  image

AI-powered System: Cybersecurity Report Generation and Risk Mitigation

Healthcare

Success Story AI-powered System: Cybersecurity Report Generation and Risk Mitigation image

AI Agent for Enterprise-grade Device Management

Internet Services and Computer Software

Manufacturing

Success Story AI Agent for Enterprise-grade Device Management image

Platform for Monitoring Drug Stability Budget on Excursion

Pharmaceutical

Success Story Platform for Monitoring Drug Stability Budget on Excursion image

Advanced BI Platform for Hosting and Cloud Service Provider

Internet Services and Computer Software

Success Story Advanced BI Platform for Hosting and Cloud Service Provider image
01

AI-powered Consulting
Service Toolset

We utilize AI solutions in our day-to-day activities and consulting services to accelerate, enhance, and automate your data operations, elevating the entire system and delivering tangible value to your business.

    • AI maturity model: We use our proprietary framework to conduct a comprehensive analysis of your strategy, data infrastructure, and team capabilities.
    • Stakeholder interview: We conduct structured, role-specific interviews with your key leadership to ensure strategic alignment with your business objectives.
    • Data readiness and governance checklist: Our rapid audit evaluates your existing data assets, focusing on key attributes such as quality, accessibility, volume, security, and compliance with GDPR and CCPA.
    • Use case prioritization: We utilize our proprietary impact vs. feasibility matrix to identify AI use cases with the greatest potential for a high return.
    • Financial modeling: We build a robust business case for each AI initiative, forecasting your expected ROI, payback period, and total cost of ownership.
    • AI value proposition: We clearly define the value of each AI solution, describing how it addresses key pain points, creates new operational efficiencies, and integrates seamlessly into your existing services.
    • Reference architecture library: We use our pre-designed, cloud-agnostic architecture diagrams, rapid prototyping, and test solutions for common AI patterns to accelerate the technical design phase.
    • Technology stack selection: Our objective framework helps you evaluate and select the optimal technology stack, ensuring alignment with your budget, skills, and infrastructure.
    • Actionable Project Roadmaps: We deliver detailed project paths with clear deadlines, milestones, and a full work breakdown structure (WBS).
    • Risk Assessment Register: We use a pre-populated template with common AI project risks such as data drift, model bias, and low user adoption.
    • Responsible AI (RAI) framework: We embed our FEAT framework (fairness, explainability, accountability, transparency) into every project, ensuring your AI is developed and deployed in an ethical, fair, and trustworthy way.
    • MLOps best practices: We implement industry-best MLOps practices for version control, automated testing, and CI/CD pipelines for ML and model monitoring.
    • Project governance and communication plan: We clearly define project roles and responsibilities using an RACI matrix, meeting cadences, status reporting formats, and a stakeholder communication plan to keep everyone aligned and manage expectations effectively.
    • AI change management playbook: We provide you with a set of templates, including communication plans, user training strategies, and feedback collection mechanisms to drive user adoption and ensure the solution sticks.
  • Discovery and Assessment

    • AI maturity model: We use our proprietary framework to conduct a comprehensive analysis of your strategy, data infrastructure, and team capabilities.
    • Stakeholder interview: We conduct structured, role-specific interviews with your key leadership to ensure strategic alignment with your business objectives.
    • Data readiness and governance checklist: Our rapid audit evaluates your existing data assets, focusing on key attributes such as quality, accessibility, volume, security, and compliance with GDPR and CCPA.
  • Strategy and Ideation

    • Use case prioritization: We utilize our proprietary impact vs. feasibility matrix to identify AI use cases with the greatest potential for a high return.
    • Financial modeling: We build a robust business case for each AI initiative, forecasting your expected ROI, payback period, and total cost of ownership.
    • AI value proposition: We clearly define the value of each AI solution, describing how it addresses key pain points, creates new operational efficiencies, and integrates seamlessly into your existing services.
  • Solution Design and Planning

    • Reference architecture library: We use our pre-designed, cloud-agnostic architecture diagrams, rapid prototyping, and test solutions for common AI patterns to accelerate the technical design phase.
    • Technology stack selection: Our objective framework helps you evaluate and select the optimal technology stack, ensuring alignment with your budget, skills, and infrastructure.
    • Actionable Project Roadmaps: We deliver detailed project paths with clear deadlines, milestones, and a full work breakdown structure (WBS).
    • Risk Assessment Register: We use a pre-populated template with common AI project risks such as data drift, model bias, and low user adoption.
  • Implementation, Governance, and Change Management

    • Responsible AI (RAI) framework: We embed our FEAT framework (fairness, explainability, accountability, transparency) into every project, ensuring your AI is developed and deployed in an ethical, fair, and trustworthy way.
    • MLOps best practices: We implement industry-best MLOps practices for version control, automated testing, and CI/CD pipelines for ML and model monitoring.
    • Project governance and communication plan: We clearly define project roles and responsibilities using an RACI matrix, meeting cadences, status reporting formats, and a stakeholder communication plan to keep everyone aligned and manage expectations effectively.
    • AI change management playbook: We provide you with a set of templates, including communication plans, user training strategies, and feedback collection mechanisms to drive user adoption and ensure the solution sticks.

What Our Clients Say

Buzz Sharifi photo

Buzz Sharifi

Account Manager at TransGrade, CRM

Matthew Brown photo

Matthew Brown

VP of Engineering at Elsevier

Christian Rohner photo

Christian Rohner

Project Manager at Information Products AG

Jeremy Barron photo

Jeremy Barron

Senior Director of Engineering at Premier

Craig Burris photo

Craig Burris

Director of Operations at CarSoup

Jason Scalvini photo

Jason Scalvini

Senior VP of Technology

Ilya Kottel photo

Ilya Kottel

VP R&D at HumanEyes

Noam Shalit photo

Noam Shalit

COO at SafeRide Technologies Ltd

Steve Berardelli photo

Steve Berardelli

Sr. Director of Engineering for MindTap

Moody Heard photo

Moody Heard

Co-Founder at Buildforce

Mike Ortner photo

Mike Ortner

President at Ortner Enterprises DBA North Two Five

Mark DeJarnatt photo

Mark DeJarnatt

Chief Technology Officer at Sparkle Stories LLC

Eric Spear photo

Eric Spear

SVP of Engineering at Cengage

Jeremy Reither photo

Jeremy Reither

Consultant & Advisor at DemandSide

Eve Epstein photo

Eve Epstein

CEO/Founder at SoleVenture, Inc.

David Stutzman photo

David Stutzman

President of Conspectus, Inc

Dave Kochalko photo

Dave Kochalko

Co-Founder & CEO at ARTiFACTS

Kevin Lee photo

Kevin Lee

Co-Founder

Norman Thiem photo

Norman Thiem

Owner, N2 Plus

Ariel Orbach photo

Ariel Orbach

Co-Founder & CTO

Anonymous photo

Anonymous

CTO, Real Estate Firm

Anonymous photo

Anonymous

Founder & HOP, Fitness Space Rental Platform

Anonymous photo

Anonymous

CTO, Color My Life, Inc

Anonymous photo

Anonymous

Department Head, Fignum Limited

Why Choose NIX as Your Big Data Consulting Company

  • Rapid Start of Deployment

    3000+ experts with a 10% talent pool for ongoing project needs.

  • 360-degree Approach

    We listen first and build second—exploring every angle and uncovering all potential solutions to pinpoint the best-fitting one.

  • One-stop shop

    From strategy and planning to market-ready solutions, ongoing support, enhancements, and promotion.

  • Executive Level Support

    Strategic agility, rapid escalations, and hands-on leadership—your project moves forward without bottlenecks.

  • Involvement and Versatility

    We take delivery ownership of every project, driving measurable impact beyond just execution.

  • Industry Recognition

    Our strategic alliances with AWS, Microsoft, Databricks, and GCP translate into state-of-the-art technical solutions and conditions for your business.

  • Seasoned Expertise

    Decades-honed expertise across various domains and thousands of projects translates into solutions that hit the mark.

  • Mature and Transparent Processes

    Our time-tested delivery process drives results, fosters team alignment via consistent communication, and remains adaptable to new challenges.

Max Ushchenko

Max is our senior practice leader and evangelist for the “big triad” of machine learning, data analytics and data engineering, with a vast background in AI, BI services, and product management.

Head of Data and AI Practice at NIX

Max is our senior practice leader and evangelist for the “big triad” of machine learning, data analytics and data engineering, with a vast background in AI, BI services, and product management.

Eugene Rudenko

Yevhen, a seasoned AI consultant with 10+ years, delivers expert-level software optimization and business automation through strategic implementation of cutting-edge AI solutions.

Applied AI & Data Science Solutions Consultant

Yevhen, a seasoned AI consultant with 10+ years, delivers expert-level software optimization and business automation through strategic implementation of cutting-edge AI solutions.

01

FAQs

01/

When does a company need a big data consultant?

A big data consultant is needed when a company struggles to extract value from the data or lacks in-house expertise to manage overwhelming and inconsistent data volumes. A big data consulting company can evaluate your current data environment, identify areas for improvement, define a data strategy tailored to your needs, and develop secure and scalable architectures, ensuring data quality and accelerating time to value.

02/

How can big data help to improve healthcare services?

Big data development services in healthcare can save lives by quickly predicting high-risk patients, improving treatment outcomes, generating real-time alerts, and reducing medical errors. This enables healthcare services to gain actionable insights, reduce overall healthcare costs, enable efficient electronic health record management, and serve as the basis for predictive analytics. Real-time processing of medical data allows for a better understanding of patients and more personalized patient care, while consulting keeps PHI accessible and secure for authorized personnel, reducing the leakage of sensitive data.

03/

What size companies need big data consulting?

Adoption and implementation of big data solutions can be tricky, especially if you don’t have enough in-house expertise or you want to focus on higher-value business activities while delegating this task to professionals. Therefore, big data consulting services and business intelligence can be valuable for companies of all sizes, including small startups, medium-sized businesses, and large-scale enterprises. At NIX, we provide big data consulting services for businesses of various sizes to help you identify the most suitable approach, tools, and big data technologies tailored to your specific business needs.

04/

How can big data consulting improve business decisions?

By transforming unstructured data into actionable insights, establishing robust data pipelines, and leveraging quality data to drive value, big data consulting experts enable companies to make informed decisions, mitigate risks, gain deeper customer insights, and optimize operations. To put it simply, big data consulting and development services enable businesses to leverage their data for informed, data-driven decisions, thereby gaining a competitive edge through data insights.

05/

Can you help integrate big data into our existing systems?

We sure can! Our qualification exceeds simple big data consultancy and rip-and-replace tactics, and includes the seamless integration of new big data solutions with your existing IT infrastructure. To execute this smoothly, we first conduct a thorough assessment of your system, then design and build APIs and integration layers and establish a comprehensive data orchestration. Our approach ensures that your big data solutions yield deep insights and accelerate time to value.

06/

How can big data analytics benefit financial services?

Big data analytics in finance and banking can help assess and manage risk faster and more effectively. Properly implemented big data consulting solutions can effectively process large datasets for fraud detection, accelerate liquidity analysis, and unlock access to predictive analytics capabilities. Big data consulting firms enable financial and banking organizations to leverage the power of big data, predict financial trends, and identify competitive advantages through deep customization.

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