Big Data & Analytics

Why do you need Data Science?

  • Get more information
  • Show reliable statistics
  • Predict incoming events

Latest work

Agora
The project's purpose is to search for ads on websites. We scrape ads from all websites and create a hash of ad images in order to check check for identical images later. Then we scrape title, text, link of each ad. We get text of ads using the library, allowing retrieving only the main text from website. The web application was created to display information of scraped ads. There you can filter ads by date and other criteria.

Latest work

CryptoCoin
The main idea was to develop an analytical service for traders (similar to Coinbase) with the possibility to create a personal portfolio to assess their own profits or losses and display their variation in real time. The main page contains graphs of currencies with a dynamic profit display (TOP-10 most popular crypto currencies in the world). You can get more detailed information on a certain crypto currency via search on a separate information page.

Latest work

Statmetrix
We faced the challenge to create a platform for analyzing football matches for the team and for a certain player. The information on the site allows you to evaluate and compare the effectiveness of a football player or a team. In addition to information in figures (goals, passes, help, etc.), the service also provides visualization of events on the field. In this way, the user can select the most active sector of the field in one or another game.

Latest work

ESI
The project purpose is to scrape news that is relevant to technology companies. We currently have three scrapers. Each scrapes news from different websites relevant to a specific company. You can search new by special tags to the most relevant news. The basic service was created to manage the scrapers. It's similar to ScrapingHub, but with fewer features. You can set the list of companies for scraping, run/stop any scraper, and check logs. There is also a feature that allows the scraper to run periodically.

Latest work

Peer Sys
A smart questionnaire with hot-fix solutions for people who got into troubles caused by COVID-19.

Key areas of experience

Cloud services
Cloud services

Get your data immediately

Security
Security

Your data are protected

Data processing
Data processing

A huge amount of data needs to be handled

Why choose us?

Experts in development
Experts in development

Tons of data already goes through us.

Cost optimization
Cost optimization

Data science needs storing efficiency

Cutting edge technologies
Cutting edge technologies

We know the newest and the best tools

Client's feedback

Thibaut Mallet de Chauny
Thibaut Mallet de Chauny
Partner and Managing Director at EIS - EXA Innovation Studio

Data Science trends

Why data science?

Because humanity starts produce lots of data – the volume people create from the start of civilization till millennium, now we generate in 2 days.

Popular areas

Statistic says the most popular areas of data science and big data analytics is: finances, securities, healthcare.

Data Science analytics

Analysis of big data helps to create content-lists, shopping offers, and a lot of other goods and services.