Big Data Analytics
In the era of the enormous loads of information and data coming from multiple sources and addressed to millions of users, data analytics technologies pave the way to the analysis of these loads of diverse data sets to harness new information, thus allowing the organizations to make informed business decisions. Business intelligence (BI) queries turn data into knowledge by answering basic questions about business operations and performance.
Big data analytics include a series of interconnected applications with components that range from collection and data mining, predictive and prescriptive tools and statistical formulas to what-if scenarios, firmly supported by relevant tools.





Digital Capabilities
The number of different industries that are adopting big data analytics increases steadily as these technologies become more cost effective and easier to adopt; industries are being digitally transformed with the support of big data analytics. Uni Systems provides enterprise ready solutions to allow the implementation, governance, management and maintenance of big data ecosystems and analytics platforms.
Our portfolio includes a full life-cycle for implementing analytics systems ranging from domain expertise, data assessment, data architecture, technology/platform selection and data transformation/cleansing all the way to data mining/exploration predictive modeling and data visualization; this is where our data analysts and engineers can make a difference.
Our expertise spans across industries and business point solutions: IT, Retail, Telecoms, Finance/Banking, Shipping, Energy, Education, Healthcare/Insurance, Transportation, Manufacturing, Entertainment/Media, Public organizations.
Our Big Data Analytics Competence Centre consists of experienced Business Analysts, Big Data Engineers, Big Data Architects and Data Scientists ready to design, implement, deploy and support your Big Data Analytics projects offering solutions from the whole big data landscape.
A Complete Data Warehouse Ecosystem for the Public Sector
Using Massively Parallel Processing (MPP), Big Data technologies and Microsoft’s Azure Cloud services.
Centralized Logging system in the Banking Sector
As part of the core system using Apache Kafka, Elastic Search and Kibana.
Complete eDWH for the Telco Sector
With reporting and advanced analytics tools.
Data Analysis Systems for the Finance Sector
Data analysis systems and advanced reporting incorporating a data analytics platform.
Centralized Management Systems for the Public Sector
The centralized management systems of all the administrative cases along with analytics platform and business intelligence reporting performing statistical analysis and advanced analytics.
Complete Integrated Management Information System for the Finance Sector
Including data analysis, advanced statistical methods, machine learning, simulation, automation and implementation of the corresponding web environment.