Our BI consultants help companies operating in the increasingly data-centric environment to derive strategic business value from data of multiple origins, including:

ENTERPRISE DATA

Embracing CRM systems, transactional ERP data, and the variety of semi-structured and unstructured data types residing in content repositories.

SENSOR-GENERATED DATA

Data collected from industrial equipment, smart devices, connected appliances, control systems and any other IoT devices.

MACHINE DATA

Clickstream, log files and any other machine-generated data for end-to-end transaction visibility and complete insight across IT infrastructure.

HUMAN-SOCIAL DATA

Human-generated digital footprints and other data from social media sources and location-based services laying basis for a 360⁰ customer view.

WE ARE TRULY BIG ON BIG DATA

Our excellence in big data & BI solutions development builds upon long-standing expertise in implementing well-orchestrated technologies, methodologies and tools across the entire data cycle. When setting up project teams, we pick up specialists whose background and skills align best with your project needs.




Business Analysts

Got lost navigating through the big data landscape? DGIT’s business analysts will help you come up with thorough understanding of the right goals and the shortest path to them.

Data Scientists

We are experts at orchestrating the cast of BI technologies for a potentially multiplicative effect on the business along with curating the data veracity of the analysis pipeline.

Big Data Architects & Engineers

Driven by DevOps and rapid application development principles, our core dev team’s activities incorporate performance engineering and end-to-end software QA and testing.

Database Admins

THE DGIT knows how to design a data warehouse that is reliable, scale-able and fast, and how to administer and enhance a database environment that is effective, trouble-free and secure.

WE MATCH BI ANALYTICS WITH YOUR INDUSTRY




Finance Analytics
  • Exact calculating of financial risks
  • Effective managing of money flows
  • Detecting and preventing financial fraud
Supply Chain Management Analytics
  • Optimization of inventory
  • Planning of resources and assets
  • Forecasting risks in a supply chain
Education Analytics
  • Analyzing students’ performance
  • Predicting and preventing students’ dropouts
  • Creating more efficient educational programs based on students’ performance analytics
Healthcare Analytics
  • Analyzing treatment plans’ effectiveness
  • Controlling and preventing drug abuse
  • Discovering patient statistics and population health trends
Manufacturing Analytics
  • Evaluating the effectiveness of production processes
  • Tracking and preventing machine breakdowns
  • Identification of bottlenecks in the process
Digital Advertising Analytics
  • Creating better-targeted campaigns based on
  • Forecasting advertising spends and payback
  • Taking control of such KPIs as cost per conversion, average time of conversion, retention rate, monthly website traffic, and others