Big Data

Our services

Big data analytics can deliver massive value, but too often companies let technology guide their efforts. Instead, decisions must be based on business priorities.   Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.

The overview

Big data helps customers improve decision making, understand its customers, improve customer offering, and finally improve its operations.   Put simply, big data is larger, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can’t manage them. These massive volumes of data can be analysed and used to address business problems you wouldn’t have been able to tackle before.

What is it?
The amount of data is immense. Each day 2.3 trillion gigabytes of new data is being created.
The speed of data (always in flux) and processing (analysis of streaming data to produce near or real time results).
The different types of data, structured, as well as, unstructured.
Understand the costs and benefits of collecting and analyzing the data to ensure it can be reaped and monetized.
The quality or trustworthiness of the data. Understand the accuracy of all this data.
Who is this for?
Your business needs a competitive edge and you’re not quite sure where to find new insight into how to get there. Change comes from businesses knowing more, not through new software.
Businesses looking to boost their sales and grow their customer base, e.g. by further narrowing down customer type and by looking to improve through more targeted marketing, PR, sales and advertising.
Companies who already have a wealth of older customer data resources to mine, which is doing nothing for the business being stored in older or even offline formats.
A need to react and respond directly to lots incoming data from customers, e.g. email dissemination and categorization.
Improved data quality
Improved operational efficiency
Improved employee satisfaction
How it works

Preliminary discusion, business goal identification and clarification

  • Anchor to business value
  • Pragmatic approach to IT

Initial data source assessment and verification

  • Analysis, identification and escalation

Definition of new data structure based on existing and incoming sources

Data manipulation and reorganisation

Big Data analysis and reporting

  • Implementation of insights into key areas of business as agents of change

Review results, change parameters and repeat the process.

Client Cases

Agile and prototypical approach, establishment of data governance standards, understand the data quality tradeoffs between in-stream, real-time, and batch analytics.


Solutions for FinTech businesses
ERP solutions, system integrations, applications and modifications
These are some of our people specialized and working with this.
Anastasiia Sakhnenko
Data Management Specialist
Oleksii Khomenko
MS NAV Senior Software Development Engineer
Oleksandr Klymenko
MS NAV Senior Software Development Engineer
Iurii Kushniruk
MS NAV Senior Software Development Engineer
Sergey Basenko
MS NAV Senior Software Development Engineer
Send us a message
Your name

Email Address


This site is protected by
reCAPTCHA and the Google
Privacy Policy and
Terms of Service apply.