Our Data Analytics Services

Our Data Analytics Solutions

  • Financial Services

    Predictive Analytics • Fraud Detection • Risk Scoring • Portfolio Optimization • Customer Segmentation • Regulatory Reporting • Audit Analytics • Cost Management • Credit Scoring • Loan Underwriting

  • Healthcare & Life Science

    Patient Outcomes Prediction • Personalized Medicine • CDSS • Resource Optimization • Chronic Disease Management • Health Risk Assessment • Drug Discovery • Clinical Trial Optimization

  • Retail & eCommerce

    LTV Analysis • Demand Forecasting • Inventory Management • Pricing Optimization • Promotion Effectiveness • Behavioral Targeting • Omni-Channel Analytics • Payment Fraud Prevention

  • Product & Tech Companies

    A/B Testing • Feedback Analysis • Performance Monitoring • Cost Optimization • Capacity Planning • Anomaly Detection • Incident Response • Dashboards and Reporting • Market Analysis

  • Education & eLearning

    Learning Analytics • Content Usage Analysis • Adaptive Learning • Feedback and Surveys • Operational Analytics • Retention Prediction • Career Path Prediction • Resource Allocation

  • Manufacturing & Logistics

    Logistics & Transportation Analytics • Asset Performance Management • Demand Forecasting • Quality Control and Defect Detection • Production Optimization • Energy Management • Customer Service

Data Analytics Techniques We Use

Descriptive Diagnostic Predictive Prescriptive Machine Learning Text Analytics & NLP

We use advanced technologies and tools to summarize historical data, revealing past trends, patterns, and relationships to uncover insights and inform decision-making.

• Online Analytical Processing
• Data Mining
• Data Management: Snowflake, MS SQL, Azure Synapse, Amazon S3, • Amazon Redshift, Oracle, Google BigQuery
• Data Engineering: AWS Glue, Azure ADF, SSIS, Matilion, dbt, Fivetran, AWS Athena, Apache Spark, etc.
• Insight Delivery: Power BI, Tableau, Looker, etc.

Descriptive Analytics

Turn insights into actionable knowledge for informed problem-solving. Our diagnostic analysis reveals causes, contributing factors, and deeper insights behind specific outcomes.

• Root Cause Analysis
• Linear and logistic Regression Models
• Correlation Analysis
• Parametric and Non-Parametric Hypothesis Testing
• Comparative Analysis: Benchmarking, Cohort Analysis, Trend Analysis
• Sensitivity and Multivariate Analysis

Diagnostic Analytics

Forecast future trends and outcomes with predictive analytics using statistical algorithms, machine learning, and data mining to identify patterns in your data.

• Regression Analysis
• Time Series Forecasting
• Decision Trees and Random Forests
• Neural Networks and Deep Learning
• Survival Analysis
• Ensemble Methods: Bagging, Boosting (e.g., AdaBoost, Gradient Boosting Machines), Stacking

Predictive analytics services →

Predictive Analytics

Prescriptive techniques use advanced analytics, modeling, optimization, and simulation to offer actionable recommendations.

• Optimization Models: Linear, Integer, Mixed-Integer Programming
• Decision Analysis: Decision Trees, Influence Diagrams, Game Theory
• Simulation Modeling: Discrete Event Simulation, Monte Carlo Simulation
• Heuristic Methods: Genetic Algorithms, Simulated Annealing, Particle Swarm Optimization
• Constraint-Based Optimization
• Risk Mitigation: Probabilistic Modeling, Sensitivity Analysis, Scenario Analysis

Prescriptive Analytics

Extract insights, automate tasks, improve decision-making, and drive innovation with ML and AI across various industries.

• Supervised & Unsupervised Learning
• Reinforcement Learning
• Deep Learning: Image and Speech Recognition
• Recommendation Systems
• Time Series Forecasting
• Anomaly Detection
• Transfer Learning

Machine Learning

Unlock valuable insights from unstructured text data with Text Analytics and NLP.

• Text Preprocessing: Tokenization, Lowercasing, Removing Punctuation, Stop Word Removal, Stemming
• Text Classification: Naive Bayes Classifier, SVM, DL Models
• Sentiment Analysis
• Named Entity Recognition
• Topic Modeling: LDA, NMF
• Extractive and Abstractive Text Summarization
• Word Embeddings: Word2Vec, GloVe
• Dependency Parsing
• Language Translation: SMT, NMT

Text Analytics & NLP

Expert Data Analytics Consulting Services

Yury Zhukovsky

Yury Zhukovsky

Business Intelligence Practice

Alena Bashmakova

Alena Bashmakova

Business Intelligence Lead

Anton Galitsky

Anton Galitsky

Business Intelligence Architect

Julia Grishkevich

Julia Grishkevich

Business Intelligence Engineer

Ready to Start Your Data Analytics Journey?

Uncover insights, optimize operations, and boost decision-making with our tailored data analytics solutions. Contact us today to transform your data into actionable intelligence!

Request Free Consultation

Success Stories Delivered by Us

More Case Studies
Rocky Mountain
Multifunctional Platform for Identity Authentication
AI-Driven Speech Analytics: Empowering Informed Business Decisions

Why Data Analytics is Worth Investing In?

Investing in data analytics software not only drives immediate business benefits but also sets the foundation for long-term success in a data-driven world.

  • Operational and Cost Efficiency

    Streamline business processes, reduce operational costs, and boost overall productivity. Data analytics services and solutions help identify inefficiencies, optimize resource allocation, and enhance workflow management for improved performance and profitability.

  • Informed and Accurate Decisions

    Leverage data-driven insights to make well-informed and precise decisions. Data analytics solutions provide real-time analysis, identify trends, and uncover patterns, enabling you to base your strategies on accurate information and predictive insights.

  • Control and Transparency

    Gain greater oversight and clarity in your operations. Data analytics solutions enhance visibility, ensure compliance, and provide detailed reporting, allowing you to monitor performance, track progress, and maintain accountability across your organization.

Your Data Analytics Consulting Partner

  • Industry Experience

    With 30 years of expertise across 10 industries, we deliver tailored solutions that meet your business’s unique needs, ensuring a smooth and effective delivery process.

  • Rapid PoC/PoV Development

    Using agile methodologies, we quickly develop functional prototypes, enabling you to evaluate potential ROI before full-scale implementation. This approach ensures faster decision-making and minimizes risks associated with new data analytics initiatives.

  • Top-Tier Data Experts

    Our data analytics team includes over 100 highly skilled experts proficient in leading data analytics technologies and platforms. With extensive experience and deep knowledge, we deliver solutions tailored to your specific needs.

  • Powerful Tech Stack & Partnerships

    We leverage AI technologies and cloud-native data analytics solutions, partnering with industry leaders like AWS, Azure, and Google to deliver robust and scalable solutions.

Team Engagement Models

  • Consulting

    Unsure how to start? Begin with our data analytics consulting services. We analyze your business processes and define project requirements, ensuring our solutions align with your goals and put you on the right track.

  • Dedicated Team

    Boost your development capabilities with our data analytics specialists. Our dedicated team model offers seamless integration and provides the expertise and focus required to drive your project’s success.

  • Professional Services

    Need tailored software solutions? Our expert team crafts custom data analytics features designed to meet your specific needs, ensuring your systems are fully optimized for maximum performance.

  • Product Development

    Ready to launch new products? We offer end-to-end product development, collaborating closely with you to design, develop, and deploy innovative solutions that give you a competitive edge.

Our Data Analytics Framework

  • Security

    • Data Privacy
    • Access Control
    • Threat Detection and Prevention
    • Incident Response
  • Data Management

    • Data Collection
    • Data Storage
    • Data Governance
    • Data Quality Management
  • Architecture

    • Data Pipeline Design
    • Tech Stack Selection
    • System Integration
    • Cloud and On-Premises Strategy
  • Orchestration

    • Workflow Automation
    • Data Synchronization
    • Resource Management
    • CI/CD
  • Software Engineering

    • Application Development
    • Algorithm and Model Development
    • Testing and Validation
    • Performance Optimization

Transform Your Data into Decisions

Unlock your data’s full potential with our data and analytics services. Our team of skilled experts brings all the necessary knowledge and capabilities under one roof to drive smarter decisions and achieve your business goals. Contact us today to get started.

Request Free Consultation

Data Analytics Technologies We Use

Storage

RBDMS (MS SQL, Oracle, MySQL, PostgreSQL, etc.)

MPP (Netezza, Snowflake, Redshift, Athena, etc.)

Platform

Cloud: AWS, Azure, GCP

On-premises

Data Processing

Streaming and API calls: Apache Spark, Apache Flink, Apache Ignite, Apache Kafka, Amazon Kinesis Data Streams, Amazon Kinesis Firehose, HDInsight with Spark Streaming, Azure Stream Analytics

Batching: Apache Spark, Amazon Athena, Azure Data Factory, Azure Databricks, Map/Reduce, Hive, Classic ETL tools (SSIS, PDI, Informatica, etc.)

Data Science and Analytics

Power BI, Tableau, Qlik, Looker, Domo, SAP BO

scikit-learn, TensorFlow, PyTorch, SageMaker

Frequently Asked Questions

  • How can data analytics benefit my business?

    Data analytics solutions can help your business make informed decisions by uncovering patterns and trends from your data. This leads to improved operational efficiency, enhanced customer experience, targeted marketing strategies, and increased revenue. By leveraging data, you can gain a competitive edge in your industry.

  • How do you ensure data privacy and security?

    We prioritize data privacy and security by implementing robust security protocols and compliance with industry standards such as GDPR, HIPAA, and others. Our data handling practices include encryption, access control, and regular security audits to safeguard your data.

  • What is the typical process for starting a project with your company?

    As a data analytics company, we follow a structured process:

    1. Exploration: We explore, profile, and document data sources to understand their structure and content.
    2. Architecture: This involves transforming data, maintaining a data catalog, and ensuring data quality through defined workflows.
    3. Development: We manage data ingestion, create streaming pipelines, and perform performance tuning.
    4. Governance: We ensure security, privacy, quality metrics, and maintain data lineage and audit trails.
    5. Analytics: We generate reports and dashboards, explore data, and perform predictive and prescriptive analytics for actionable insights.
  • How do you handle data integration from multiple sources?

    We have expertise in integrating data from various sources including databases, cloud services, APIs, and third-party applications. Our team uses advanced data engineering tools and techniques to ensure seamless and accurate data integration for comprehensive analysis.

  • Can you help with real-time analytics?

    Yes, we offer real-time analytics solutions that allow businesses to process and analyze data as it is generated.

  • Do you provide training and support after project delivery?

    Yes, we provide comprehensive training and support to ensure that your team can effectively use the analytics solutions we implement. Our support services include troubleshooting, performance optimization, and updates to keep your system running smoothly and efficiently.

Latest Data Analytics Insights

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  1. Our sales rep will contact you within 1 day to discuss your case in more detail.
  2. Next, we will arrange a free 1-hour consultation with our experts on platform selection, budgeting, and timelines.
  3. After that, we’ll need 1-2 weeks to prepare a proposal, covering solutions, team requirements, cost & time estimates.
  4. Once approved, we will launch your project within 1-2 weeks.