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
