Business Intelligence


Business intelligence (BI) services help enable structured data-driven decision-making across the company. An experienced provider of BI solutions, Inovsion integrates multi-source data and applies analytics techniques to automatically extract insights from the input records.

Components of a Business Analytics Solution We Build

ETL\ELT processes

Extracting data from diverse data sources, transforming it into a predefined format and loading it into a storage destination.

Data lake

Storing any type of data, including big data.

Data warehouse

Centralized storing of structured data for reporting and analysis.

OLAP cubes

Structuring data in a multidimensional format for rapid self-service data analysis.

Data reporting and visualization

Making analytics results digestible with immersive reports and interactive dashboards.

Data quality management

Identifying and eliminating data anomalies via data profiling, cleansing, validation, etc.

Data security

Ensuring data is stored, transformed and exploited in a secure way.

Data science

Advanced analytics with data mining, big data analysis, machine learning and artificial intelligence.

BI Framework by Inovsion

Inovsion has developed a proprietary BI framework, which we use in our projects to ensure that the delivered BI solutions cover all the functions a comprehensive BI solution should perform.


Trend analysis - identifying opportunities for a company's business growth and challenges it is likely to face.

Forecasting and what-if scenario modeling - anticipating trends and outlining scenarios that guarantee success.

Plan analysis - looking for mismatches, bottlenecks or underutilized capacity in strategic and tactical planning, etc.

Plan execution and performance monitoring

Storing any type of data, including big data.Performance assessment - measuring business performance with relevant internal and external benchmarks.

Plan/actual comparison - comparing planned vs. actual performance to find deviations.

Root cause analysis - finding reasons for lower than planned performance.


Getting a comprehensive view of all corporate data with the slice-and-dice capability to examine data from different viewpoints (e.g., by time, organizational units, product categories, customer segments).

Highlighting growth opportunities and potential risks.

Drilling down and conducting correlation analysis to establish the cause-effect relationship between variables.

Conducting change impact analysis.


Optimizing internal processes or operations by employing business analytics insights.