Business analytics and data visualization

We provide a step-by-step strategy for implementing a business intelligence system to optimize performance monitoring, reporting and data-driven management decision making.

BI tools enable business users to access and analyze different types of data to gain insight into how the business is performing. Knowing how to use data and extract value from it is the foundation of digital transformation.

We offer BI implementation for companies

The company operates a large amount of data that is stored in different systems. It's difficult to integrate and analyze data, so the information is used inefficiently

Suffer from data chaos

The company needs to make inform, operational decisions to differentiate from competitors, but there is no centralized tool for analyzing business information

Operate in a highly competitive market

but there is no understanding of where to start business digitalization and transformation

Want to move to the next level of efficiency

It is necessary to simultaneously analyze a large amount of data in the context of each branch, but the data in the branches is not comparable

Have a branch structure of the company

Modern platform that meets your specific requirements

The faster insights, the better decisions

Data can help better decision making and drive business success by increasing revenue and improving return on investment (ROI). By improving products and services based on data, new competitive advantages can be obtained. Cost optimization and elimination of surpluses reduce risks.

BI can help in different functional areas: management, finance, marketing, logistics, warehousing, sales, etc.

Reporting and guided analytics

A way of accessing analytical data when a user is working with pre-defined indicators, dashboards and reports. Allows the user to explore the subject area in depth, select filters or drill down and go 'deep' to examine indicators in detail.

Self-service

Analytical applications that enable analysts and business users to independently connect to data sets and create their own dashboards, charts, and graphs.

Embedded analytics

It is often more convenient for employees to work with data in the applications they already use. For example, these could be websites, web dashboards, internal portals, or mobile apps.

Alerts

When an indicator is reached or an anomaly occurs that requires an employee response, the analytics system notifies the employee and suggests an action plan. Alerts can be delivered by email or to smartphones via SMS, messengers or as notifications.

What may include the BI system developing

Requirements for analytical apps, solution architecture and infrastructure
ETL processes, data marts, data models, BI applications
Environment for analytical applications, data access control
Integration with accounting systems and data sources
UX/UI design, dashboards, visualizations
Data processing algorithms, mathematical apparatus for data analysis

Want to take to the next level of productivity?

Request a consultation on developing a step-by-step strategy for deploying a business intelligence system

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