MEANINGFUL DATA

We build full-stack Big Data platforms for enterprise customers that ensure proper use of corporate data – building valuable insights, optimize expenses, speed up response time, strengthen customer relationships, improving own products, predict coming changes – every slab of data in order to bring our customers to the leadership position in the market through the adoption of up to date technologies.

OUR SOLUTIONS

Software solutions for data processing and analysis

Financial sector
Telecom
Media
Government
Research institutes
Energy companies

Building corporate data platforms

Dataslab Data Platform
Cloudera CDP/CDF/CDSW
Security solutions (Cisco, Cloudflare)
IoT-solutions
Open Source

We build solutions

On-Premise
Cloud architectures
Hybrid solutions
Migration

Customized machine learning models

Personalized GDPR-ready AI solutions
Predictive models
Face recognition
Video analysis, object tracking
Data Mining and Reporting Systems

1.01 BILLION CREDIT CARD TRANSACTIONS OCCUR EVERY DAY AROUND THE WORLD

FINANCIAL SECTOR

The Enterprise DataHUB of Dataslab provides one single point of truth with an Intuitive design and better user experience.

Enhanced collaboration and workflow features to improve organizations’ performance and make instant response to events possible.

Economic value or relevance of data changes during the lifecycle. DataHUB manages your data at the best cost and is available anytime.

All legal requirements and policies for data management, data governance and data security are also integrated into Enterprise DataHUB for a seamless experience.

Cases

8.3 BILLION MOBILE SUBSCRIPTIONS WORLDWIDE

MOBILE OPERATORS

We build Big Data platforms in order to collect, store and process corporate data.

By analyzing the collected customer data using ML and AI approaches, we can help you create your data products.

The Hadoop-based data platform suites are perfect for technical network monitoring systems that respond to events in fractions of seconds.

Cases

ADULTS SPENT NEARLY 6,5 HOURS A DAY WATCHING TV AND ONLINE VIDEO

MEDIA COMPANIES

We build Hadoop-based solutions with cost-effective media content storage and technical records, e.g., CDR, with fast search, interaction and all the tools required for behavioral and clickstream analytics.

This allows for making weighted decisions on new content purchase or production, bundle offer formation, the company’s product extension, and sales increase.

We implement service analytics based on the completed solution to ensure high-quality video streaming.

Cases

data scientists and analysts can spend around 50% to 80% of their time on data preparation tasks

DATA ANALYSIS

We implement the linearly scalable Hadoop-based platform for the delivery, storing, and processing of log files and statistical data to be able to analyze them real-time according to given scenarios, inform relevant employees/services, and trigger downstream actions.

The solution can be implemented for the technical overwatch of huge distributed infrastructure (like mobile operators, agriculture services, and media companies), by providing analysis of historical data, we can predict upcoming events and act proactively, to ensure the smooth operation of the customer’s business.

Cases