Big data consulting services
Maximize your big data ROI with big data consulting services powered by real-world, industry-specific experience. Identify and act on cost optimization opportunities, eliminate performance bottlenecks, and de-risk big data implementation with Yalantis’ expertise.
Big data consulting services Yalantis provides
Big data strategy consulting
Big data platform assessment
Big data architecture design
Big data infrastructure consulting
Enterprise data storage and data analytics solutions
Machine learning and data analytics implementation
Big data strategy consulting
- Evaluating the organization’s current data maturity
- Identifying data opportunities based on business goals
- Assessing current KPI effectiveness or defining metrics to track
- Selecting the appropriate big data technologies
- Outlining infrastructure management requirements for big data implementation
- Preparing a project timeline and budget estimate for smooth big data implementation
- Designing data governance frameworks for ensuring data security, quality, and traceability
- Defining roles and responsibilities for robust big data management
Big data platform assessment
- Evaluating existing big data infrastructure, tools, and pipelines
- Assessing big data systems’ scalability and performance
- Performing root-cause analysis for revealed issues
- Identifying gaps in the current technology stack and recommending improvements
- Analyzing the collected data for quality and integrity
- Assessing security and compliance measures for efficiency and risks
- Benchmarking current processes against industry standards
- Outlining detailed recommendations to improve big data processing
Big data architecture design
- Designing, implementing, or improving data pipelines for smooth ingestion and processing
- Preparing recommendations for implementing data storage and retrieval systems
- Identifying solutions to resolve current data integration challenges
- Assessing big data architecture scalability and flexibility, and identifying areas of improvement
- Outlining data security and privacy requirements based on regulatory guidelines and business intelligence needs
- Enabling support for real-time and batch data processing
- Ensuring high availability with disaster recovery assessment and improvement
Big data infrastructure consulting
- Identifying the most suitable hardware and software based on goals and business intelligence needs
- Conducting a cloud vs on-premises assessment to inform infrastructure decisions
- Providing network and storage configuration improvements to enhance cost control and performance
- Assessing and enhancing cluster management and resource allocation
- Identifying the best-suited monitoring and maintenance tools
- Selecting the most suitable data integration tools and techniques
- Identifying cost optimization opportunities
Enterprise data storage and data analytics solutions
- Designing and implementing data warehouses and data lakes
- Implementing distributed storage systems (e.g., Hadoop, S3)
- Selecting and integrating data visualization tools
- Setting up SQL/NoSQL databases for big data solutions
- Implementing real-time data analytics solutions
- Setting up data backup and disaster recovery
- Maximizing data accessibility across the enterprise
Machine learning and data analytics implementation
- Selecting the best-suited machine learning models for specific business problems
- Designing, developing, and validating predictive analytics solutions
- Developing and implementing NLP solutions
- Designing, developing, and integrating AI-powered recommendation systems
- Building anomaly detection systems with real-time data ingestion in large volumes
- Implementing computer vision systems
Big data strategy consulting
Big data strategy consulting
- Evaluating the organization’s current data maturity
- Identifying data opportunities based on business goals
- Assessing current KPI effectiveness or defining metrics to track
- Selecting the appropriate big data technologies
- Outlining infrastructure management requirements for big data implementation
- Preparing a project timeline and budget estimate for smooth big data implementation
- Designing data governance frameworks for ensuring data security, quality, and traceability
- Defining roles and responsibilities for robust big data management
Big data platform assessment
Big data platform assessment
- Evaluating existing big data infrastructure, tools, and pipelines
- Assessing big data systems’ scalability and performance
- Performing root-cause analysis for revealed issues
- Identifying gaps in the current technology stack and recommending improvements
- Analyzing the collected data for quality and integrity
- Assessing security and compliance measures for efficiency and risks
- Benchmarking current processes against industry standards
- Outlining detailed recommendations to improve big data processing
Big data architecture design
Big data architecture design
- Designing, implementing, or improving data pipelines for smooth ingestion and processing
- Preparing recommendations for implementing data storage and retrieval systems
- Identifying solutions to resolve current data integration challenges
- Assessing big data architecture scalability and flexibility, and identifying areas of improvement
- Outlining data security and privacy requirements based on regulatory guidelines and business intelligence needs
- Enabling support for real-time and batch data processing
- Ensuring high availability with disaster recovery assessment and improvement
Big data infrastructure consulting
Big data infrastructure consulting
- Identifying the most suitable hardware and software based on goals and business intelligence needs
- Conducting a cloud vs on-premises assessment to inform infrastructure decisions
- Providing network and storage configuration improvements to enhance cost control and performance
- Assessing and enhancing cluster management and resource allocation
- Identifying the best-suited monitoring and maintenance tools
- Selecting the most suitable data integration tools and techniques
- Identifying cost optimization opportunities
Enterprise data storage and data analytics solutions
Enterprise data storage and data analytics solutions
- Designing and implementing data warehouses and data lakes
- Implementing distributed storage systems (e.g., Hadoop, S3)
- Selecting and integrating data visualization tools
- Setting up SQL/NoSQL databases for big data solutions
- Implementing real-time data analytics solutions
- Setting up data backup and disaster recovery
- Maximizing data accessibility across the enterprise
Machine learning and data analytics implementation
Machine learning and data analytics implementation
- Selecting the best-suited machine learning models for specific business problems
- Designing, developing, and validating predictive analytics solutions
- Developing and implementing NLP solutions
- Designing, developing, and integrating AI-powered recommendation systems
- Building anomaly detection systems with real-time data ingestion in large volumes
- Implementing computer vision systems
-
Big data strategy consulting
Big data strategy consulting
- Evaluating the organization’s current data maturity
- Identifying data opportunities based on business goals
- Assessing current KPI effectiveness or defining metrics to track
- Selecting the appropriate big data technologies
- Outlining infrastructure management requirements for big data implementation
- Preparing a project timeline and budget estimate for smooth big data implementation
- Designing data governance frameworks for ensuring data security, quality, and traceability
- Defining roles and responsibilities for robust big data management
-
Big data platform assessment
Big data platform assessment
- Evaluating existing big data infrastructure, tools, and pipelines
- Assessing big data systems’ scalability and performance
- Performing root-cause analysis for revealed issues
- Identifying gaps in the current technology stack and recommending improvements
- Analyzing the collected data for quality and integrity
- Assessing security and compliance measures for efficiency and risks
- Benchmarking current processes against industry standards
- Outlining detailed recommendations to improve big data processing
-
Big data architecture design
Big data architecture design
- Designing, implementing, or improving data pipelines for smooth ingestion and processing
- Preparing recommendations for implementing data storage and retrieval systems
- Identifying solutions to resolve current data integration challenges
- Assessing big data architecture scalability and flexibility, and identifying areas of improvement
- Outlining data security and privacy requirements based on regulatory guidelines and business intelligence needs
- Enabling support for real-time and batch data processing
- Ensuring high availability with disaster recovery assessment and improvement
-
Big data infrastructure consulting
Big data infrastructure consulting
- Identifying the most suitable hardware and software based on goals and business intelligence needs
- Conducting a cloud vs on-premises assessment to inform infrastructure decisions
- Providing network and storage configuration improvements to enhance cost control and performance
- Assessing and enhancing cluster management and resource allocation
- Identifying the best-suited monitoring and maintenance tools
- Selecting the most suitable data integration tools and techniques
- Identifying cost optimization opportunities
-
Enterprise data storage and data analytics solutions
Enterprise data storage and data analytics solutions
- Designing and implementing data warehouses and data lakes
- Implementing distributed storage systems (e.g., Hadoop, S3)
- Selecting and integrating data visualization tools
- Setting up SQL/NoSQL databases for big data solutions
- Implementing real-time data analytics solutions
- Setting up data backup and disaster recovery
- Maximizing data accessibility across the enterprise
-
Machine learning and data analytics implementation
Machine learning and data analytics implementation
- Selecting the best-suited machine learning models for specific business problems
- Designing, developing, and validating predictive analytics solutions
- Developing and implementing NLP solutions
- Designing, developing, and integrating AI-powered recommendation systems
- Building anomaly detection systems with real-time data ingestion in large volumes
- Implementing computer vision systems
How Yalantis can help you boost big data ROI
Devising a tailored big data strategy
Successfully navigate big data challenges with a strategy that considers your business goals, requirements, raw data sources, data analysis needs, and constraints.
Improving your data setup
Pinpoint performance bottlenecks and quality issues, as well as their root causes. Resolve them with an actionable roadmap developed by our experienced data experts.
Selecting the right big data technologies and tools
Power your data initiatives with the big data tools and business intelligence solutions that meet your analytics needs and volume and storage requirements.
Bridging the expertise gap
Enhance your in-house technical expertise with knowledge transfer on everything from common big data challenges to AI system governance and quality control at scale.
Devising a tailored big data strategy
Successfully navigate big data challenges with a strategy that considers your business goals, requirements, raw data sources, data analysis needs, and constraints.
Improving your data setup
Pinpoint performance bottlenecks and quality issues, as well as their root causes. Resolve them with an actionable roadmap developed by our experienced data experts.
Selecting the right big data technologies and tools
Power your data initiatives with the big data tools and business intelligence solutions that meet your analytics needs and volume and storage requirements.
Bridging the expertise gap
Enhance your in-house technical expertise with knowledge transfer on everything from common big data challenges to AI system governance and quality control at scale.
Yalantis: Your big data consulting company with a proven track record
Technologies we work with
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Apache Spark
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Apache Kafka
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Apache Cassandra
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Bigquery
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Snowflake
Industry-specific use cases our big data consultants specialize in
Supply chain management
Maximize operational efficiency and right-size inventory with continuous IoT data streaming and predictive analytics.
Transportation and logistics
Enable real-time fleet monitoring and identify cost-saving opportunities with robust IoT data on fuel consumption, and route efficiency.
Healthcare
Drive better patient outcomes with effective big data systems that power medical diagnostics and personalized treatment machine learning models.
Finance and banking
Minimize undetected fraud, improve loyalty and customer lifetime value with granular segmentation, and increase the accuracy of credit scoring with big data analytics.
Retail
Deliver unparalleled customer experiences with a 360-degree customer view, optimize prices on the fly, and streamline back-office operations with our big data and analytics consulting.
E-commerce
Generate more customer insights, enhance inventory management, and increase revenue from upselling and cross-selling with effective big data analytics.
Energy and utilities
Enable smart grid management, predictive maintenance, and demand forecasting with streamlined big data collection and processing.
Our clients’ reviews
Yalantis’ work saved us about $3.5 million by eliminating a package software we previously used for trade promotion. The team was technically competent and easy to work with. Yalantis communicated well via Zoom meetings and delivered regular status reports via email.
Thanks to Yalantis’ efforts, we have seen improved delivery speed and bug fixes. The team manages the project transparently, demonstrates availability, and quickly pivots if a replacement is needed. Overall, Yalantis’ ability to learn and deliver quickly is a hallmark of their performance.
Yalantis has been a great partner for us. They’ve delivered the alpha version of the product in 10 weeks, while other vendors estimated 3–4 months. The team has also been flexible with changing requirements. The team has provided excellent documentation and adapted to our tools.
We are very happy and satisfied with Yalantis’ work and the product they’ve created, as well as with their willingness to address our concerns and change requests. The team has excelled at budget management, and they leverage Zoom, Slack, Jira, and Confluence to collaborate.
Results our big data consultants deliver
New revenue streams
Identify untapped market opportunities with granular competitor and market analytics, advanced customer segmentation, and a 360-degree customer view.
Personalized CX at scale
Adapt your interactions, product recommendations, and services to every customer’s previously hidden needs and wants.
Accelerated time-to-market
Leverage business opportunities faster by accelerating product development, automating core processes, and optimizing resource use.
Enhanced decision-making
Leverage real-time, actionable insights to drive every business decision with our big data analytics consulting services, improving outcomes as a result.
New revenue streams
Identify untapped market opportunities with granular competitor and market analytics, advanced customer segmentation, and a 360-degree customer view.
Personalized CX at scale
Adapt your interactions, product recommendations, and services to every customer’s previously hidden needs and wants.
Accelerated time-to-market
Leverage business opportunities faster by accelerating product development, automating core processes, and optimizing resource use.
Enhanced decision-making
Leverage real-time, actionable insights to drive every business decision with our big data analytics consulting services, improving outcomes as a result.
Why choose Yalantis as your big data consulting firm
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Quick results
We can deliver a solution within as little as four weeks, along with a PoC to validate its effectiveness in real-world conditions.
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Diverse experience
From energy to retail and finance, our developers and domain experts leverage their knowledge and experience across industries and use cases to help you reach your data goals.
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Data ecosystem mindset
We’ll help you turn your data sets into a unified ecosystem and ensure its scalability, performance, and flexibility.
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Compliance and security by design
We take into account your security and compliance requirements from the get-go. Our experience includes complying with GDPR, HIPAA, PCI DSS, and other regional laws and regulations.
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End-to-end support
Our services go beyond big data consultation: we can implement the provided roadmap, whether it involves ML model development or data lake setup.
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Proven track record
We have 30+ big data solutions under our belt, and our clients typically collaborate with Yalantis for 2+ years.
Insights into our big data expertise
How to ensure efficient real-time big data analytics
Find out key stages of handling real-time big data efficiently, learn what tools and technologies to use to streamline this process.
An enterprise data governance framework: Solve your biggest challenges with data security, quality, compliance
Is data chaos costing your business growth and innovation? Discover how to tackle data challenges around security, consistency, quality, and compliance with a single solution.
Central repository for your data: data mart, data warehouse, or data lake?
Learn the differences between a data warehouse, a data mart, and a data lake and pick the right data repository to cover your industry-specific needs.
FAQ
How can big data consulting improve my company’s decision-making?
Big data software consulting can reveal bottlenecks and issues in your data pipelines, governance, and other business processes. With our recommendations, you can eliminate them, thus improving the accessibility and reliability of your data insights.
These insights can then help you accurately predict the impact of specific decisions and identify cost optimization opportunities.
Do you help with big data infrastructure setup or just strategy?
Our big data consulting services can involve only developing or assessing a data and analytics strategy or setting up and configuring the infrastructure, as well. The latter can include cloud computing or on-premises hardware and software setup, network and storage configuration, and resource allocation optimization. We also offer continuous maintenance and support as part of our big data services for the said infrastructure.
What industries can benefit the most from big data consulting?
In our experience, any industry that deals with big data assets can benefit from big data and analytics consulting. However, this is especially the case for industries that continue to rely on legacy systems or deal with diverse data sources and formats. Those include finance and banking, healthcare, insurance, manufacturing, energy and utilities.
Can Yalantis assist with migrating legacy data systems?
Of course. Besides designing the big data architecture based on future use cases and available data sources, our data scientists also help our clients migrate to cutting-edge solutions per their request. To ensure migration success and minimize disruptions, we back up your data, thoroughly test migration processes, and validate results according to industry best practices.
What tools and technologies do you work with?
We work with tools and technologies like Hadoop, Apache Spark, Apache Kafka, MongoDB, Amazon S3, and AWS Lake Formation. Keep in mind that this is just a short overview of our tools and tech stack. If you have a specific tool or technology in mind, don’t hesitate to contact us to discuss whether we work with it.
How do you ensure security and compliance in big data projects?
Our big data consulting company conducts a comprehensive risk assessment and collects security and compliance requirements from key stakeholders at the very beginning. As a result, we can prepare big data initiatives with these requirements in mind. Those requirements can include role-based access, encryption, and privacy measures (e.g., GDPR compliance).
Can you help build a custom roadmap for big data adoption?
Of course. Based on in-depth interviews with stakeholders and your current data landscape assessment, we’ll identify your key goals and needs and select the appropriate technologies and tools. We’ll then prepare an implementation roadmap for the big data project with key milestones, required resource estimates, and a high-level timeline.
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Lisa Panchenko
Senior Engagement Manager
Your steps with Yalantis
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Schedule a call
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We collect your requirements
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We offer a solution
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We succeed together!