Data Analytics

We help businesses and organizations leverage their data by delivering actionable insights through advanced data analytics

Expertise

Our data analytics services combine both thoughtful advisory and technology to align business needs with proven and emerging services that drive targeted business outcomes. We help businesses convert their raw data into actionable insights through comprehensive data analytics services, empower data management, business intelligence, and advanced analytics, by delivering data-driven solutions in different areas. Quantum adds value to clients from a variety of niches through a custom-tailored approach to data and analytics services.

DATA ANALYSIS

Scalable technical architecture
Data exploration
Sophisticated techniques to make predictions
Custom machine learning algorithms
Neural networks
AI automation of tasks that require human cognitive effort

DATA ENGINEERING

Data capture and cleaning
Data modeling to meet analytical requirements
Development and administration of ETL
Maintain of large-scale data processing systems
Custom machine learning algorithms
Unstructured data processing

DATA VISUALIZATION

Specific methods and techniques
Data monitoring
Creation of presentations to stakeholders
Reports and dashboards building
Identify areas that need attention or improvement

DATA INTEGRATION

Consolidation (ETL technology)
Propagation
Virtualization
Federation
Warehousing

Use Cases

PRECISION FARMING AI SOLUTION

Orthomosaic map
Image preprocessing
Orchards decomposition
Multispectral data
Growth analysis
Proprietary models for decision-making support

ML ALGORITHM FOR A COLLABORATIVE RECRUITMENT PLATFORM

Machine learning documents analysis
Creating synonym tables and available values
Elasticsearch custom aggregation and search filter scripts
Creating and configuring the ElasticSearch index
Creating a handler for converting client application search requests
Creating a REST API handler for search using the Django REST framework

GOOGLE ADWORDS PRICE PREDICTION

Used the CRISP-DM methodology
Completed the investigation phase, where the R&D team defined the data sources that are potentially valuable for model building
Defining the best price based on end-user information and a history of dealing with Google
Developed an ML model that simulates Google’s algorithm with high accuracy
Researched results with information about the factors influencing the price
Visualization via MatPlotLib and Seaborn

TRAFFIC MONITORING SYSTEM

Processed large amounts of data from the sensors
Processing of new data every 10 seconds
Development of big data storage that collects all data from road sensors
The SLA terms were interpreted with numbers
Implementation of hierarchical data representation
Representation of details about selected week or day

EXPERIENCED IN

Our data and analytics professionals are force multipliers for businesses, possessing deep domain expertise across the full data stack to address real business challenges such as predicting outcomes and preventing failures in real-time. We use the best market practices and our experiences in providing services to businesses.

DATA
SCIENCE

Increases the efficiency of business campaigns and business decisions

ARTIFICIAL
INTELLIGENCE

Automates of tasks that require human cognitive effort and provides clear business predictions

MACHINE
LEARNING

Helps to find insights in your data, is useful for customers segmentation and targeting

SCALABLE
ARCHITECTURE

Secures increasing data workloads, while optimizing processing costs

Technologies

We apply the latest tools and technologies to deliver data analytics solutions to fit your needs

Data Mining
Storage DB
Frameworks
Databases
Pipelines

Azure ML

Python

R&D Blog

We constantly research and try out new technologies, create prototypes, take part in competitions and open-source projects development, and share our findings in our company blog. Be the first to know about the latest trends in data science, new market opportunities, and modern technologies.