BigData &Analytics
Big data and analytics have become key tools in the modern world. Big data refers to vast amounts of information that can be analyzed to identify trends, patterns, and relationships. Analytics, on the other hand, uses this data to make informed decisions and predict future events.
AI and Data Science use big data and analytics to create models that can learn and adapt. This allows businesses and organizations to use data to optimize processes, improve products and services, and make more effective decisions.
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Examples of using big data and analytics in various fields:
E-commerce:
- Demand forecasting: Using historical sales data and external factors, machine learning can predict future demand for products, helping to optimize inventory management.
- Customer segmentation: Machine learning algorithms can analyze customer behavior and group them according to various criteria, allowing for more precise targeting of marketing campaigns.
- Recommendation systems: Machine learning can analyze purchase history and customer preferences to suggest products they may buy in the future.
Marketing:
- Customer segmentation: Big data can be used to analyze customer behavior and segment them into different groups, allowing for more precise targeting of marketing campaigns.
- Analysis of marketing campaign effectiveness: Analytics can be used to measure the effectiveness of various marketing campaigns and determine the most effective strategies.
- Predicting customer behavior: Big data can be used to predict customer behavior, helping in planning marketing campaigns and improving customer relationships.
Logistics:
- Delivery route optimization: Big data and analytics can be used to optimize delivery routes, considering various factors such as traffic, weather, and time of day.
- Inventory management: Analytics can be used to optimize inventory management, predict demand, and manage the supply chain.
- Delivery time prediction: Big data can be used to predict delivery time, considering various factors such as distance, load, and others.
Big data and analytics have become an integral part of modern business, allowing companies to make informed decisions and improve their operations. If you want to learn more about how these technologies can help your business, we are always ready to help!
BI systems and interactive reporting dashboards
Corporate data warehouses (Data Warehouse) and data lakes (Data Lake)
Real-time data streaming and monitoring systems
Personalized analytics systems for e-commerce (e.g., recommendation services)
Analytics and optimization platforms for supply chains and logistics
Top-Level Data Analytics Expertise
Analytics is our core strength. We thoroughly study your business goals and offer solutions based on data and deep industry understanding. You don’t just get executors — you get expert consultants who help refine the product vision. This level of requirement analysis from the start ensures that the final solution will match your expectations 100%.
Experience with Large-Scale Big Data Projects
SKALAR has successfully delivered numerous big data projects. Our portfolio includes solutions that process millions of records daily and handle real-time data streams. We know how to design architectures for high-volume data, ensure enterprise-level reliability and security. If your project needs scalability and robustness — we have the necessary experience.
Expert Team with 18+ Years of Experience
Our core team — data analysts, system architects, software engineers, and project managers — has over 18 years of experience in their fields. Essentially, your project will be executed by IT industry veterans who have handled a wide range of projects. This wealth of knowledge allows us to find optimal solutions where less experienced teams may struggle.
Deep Understanding of E-commerce and Logistics
We have extensive experience with e-commerce and logistics companies, and understand the specifics of these industries. This means we speak your language and know from the start what to focus on. Our analytical solutions have already helped online retailers increase sales and logistics operators optimize supply chains.
Comprehensive and Systematic Project Approach
We look at each project from all sides — technology, business value, and user experience. Our approach combines proven methodologies for business and data analysis (UML, diagrams, statistical methods) with flexible development practices (Agile/Scrum). This ensures a balance between careful planning and adaptability. As a result, projects are delivered on time, on budget, and remain flexible to changing requirements or data.
Full-Cycle Turnkey Services
We cover every need of your analytics project: data consulting, business analysis, UI/UX design (for dashboards or apps), development, testing, DevOps, user training, and support. You don’t need to bring in outside vendors — we take full responsibility for the result at every stage. This saves your time and ensures high quality, since a single cohesive team handles the entire project lifecycle.
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