Data science solutions
Collect data from all possible sources, extract knowledge from the data collected, and turn that knowledge into actual value for your business.
How we deal with data science
Multiple data pipelines
Data
Selecting
Sourcing
Synthesizing
Data science
Data engineering
Exploring
Clearing
Normalizing
Feature engineering
Scaling
Data modeling
Selecting a model
Training
Evaluating
Tuning
Value
Operation optimization
Registering
Deploying
Monitoring
Retraining
Handling constraints
Challenges data science can help you solve
Fraud and anomaly detection
Demand forecasting and other prediction systems
NLP-based content analysis and generation
Risk management and credit scoring
Distributed asset management
Intelligent document processing
Bot-driven front-office support
Automated reporting
Automatic security logging and verification
Web scraping solutions
IoT monitoring
UX improvement and service personalization
Decision-making support and advanced analytics
Data structuring and visualization
Expert recommendation systems
Team roles in data science
Deliverables you get from Yalantis
- Preparation for integrating ML&AI
solutions into your business
- ML&AI implementation roadmap
based on your business needs
- Idea and hypothesis validation
using your existing data and models
- Employee onboarding
and full ML and AI knowledge transfer
- Well-structured data
in a data lake, data warehouse, or data mart
- 24/7 support
for your data architecture and software
What you can do with the deliverables
Convert data into monetary value for banking, manufacturing, healthcare, life sciences, agriculture, logistics, real estate, and other industries
Tackle big multi-dimensional business problems with the implementation of ML and AI systems
Develop scalable solutions that can be seamlessly ported to any industry and business model
Some of our
works
Data lake implementation
A cloud-based system for storing data built for a manufacturing company that allows to:
Store structured, semi-structured, and unstructured data
Group data into iqueryable catalogs
Ensure secure data access and retrieval
Simplify supply chain data analysis
Big data analytics for 3PL
A system for big data analysis that allows a third-party logistics company to:
Use predictive stock planning
Optimize load and route planning
Strengthen decision making
Boost customer LTV
Live Vote Results
A platform for processing real-time election data that:
Speeds up ballot chart data processing and generating by 200 times
Engages anti-fraud mechanisms and a tiered access system
Features interactive maps of electoral districts
Is built on the fault-tolerant software and data architecture
Data science insights
Machine learning algorithms for the supply chain industry
Discover how you can optimize your delivery and logistics spending by implementing machine learning solutions in your IT system.
BI and analytics implementation
See how your logistics business can gain actionable insights for streamlined processes and cost optimization.
Digital transformation roadmap
Learn how to prepare your company for digitizing your business with process automation and optimization solutions.