Business intelligence

❝

Business intelligence (BI) refers to software that processes and presents business data in user-friendly formats, including reports, dashboards, charts, and graphs. These tools allow users to access various types of data, such as historical and real-time data, both from external sources and internal systems, including semi-structured and unstructured data like social media.

❞

What is business intelligence?

Business intelligence integrates business analytics, data mining, data visualization, data tools, infrastructure, and industry best practices to support organizations in making data-driven decisions. In practical terms, modern business intelligence is characterized by having a holistic view of organizational data and leveraging it to drive improvements, eliminate inefficiencies, and rapidly respond to market or supply fluctuations. Contemporary BI solutions emphasize flexible self-service analysis, reliable data governance on trusted platforms, empowered business users, and rapid generation of insights. It is essential to acknowledge that the definition provided above represents a contemporary understanding of BI, considering its evolving nature. BI has undergone various transformations and has had a complex history as a buzzword. In its early stages, known as Traditional Business Intelligence, it emerged in the 1960s as a means of sharing information among organizations.

How business intelligence works

Businesses and organizations often have inquiries and objectives they aim to address. To gain insights and monitor progress towards these goals, they collect relevant data, conduct analysis, and identify appropriate measures to achieve their desired outcomes.

From a technical perspective, businesses collect raw data from their systems. This data undergoes processing and is then stored in various repositories such as data warehouses, cloud platforms, applications, and files. Once the data is stored, users can retrieve it and initiate the analysis process to address specific business inquiries.

BI Services

Data Warehousing

SQL Server, Azure
Synapsa, Oracle,
AWS Redshift,
snowflake

Self- Service BI

Power Bi, Tableau,
Qlik, Domo Bi,
Data Studio,
Looker

Reporting automation

Power BI RS,
MicroStrategy,
Cognos BI,
Sisense

OLAP & ETL

MS SSAS, MS SSIS, Druid,
Cognos TM1, Hbase, Stitch
Data, IBM DataStage,
Talend, Singer.io

Highlights of ScienceSoft’s BI Portfolio

Big Data Implementation for Advertising Channel Analysis in 10+ Countries

Through the implementation of a new analytical system by ScienceSoft, a prominent market research company successfully underwent a migration process, resulting in the acquisition of an advanced big data solution built on Apache Hadoop, Apache Hive, and Apache Spark frameworks. The new system exhibited exceptional performance, being 100 times faster than its predecessor, and demonstrated the ability to handle an extensive range of data formats, with support for up to 1,000 different variations.

BI Implementation for 200 Healthcare Centers

ScienceSoft developed software to assist 200 healthcare centers and retirement homes in the United States in efficiently managing and analyzing patient and medication data. The solution comprises a Java application for comprehensive management and reporting, complemented by an analytical data warehouse that consolidates information from 200 individual databases.

Implementation of a Data Analytics Platform for a Telecom Company

A data analytics platform was developed by ScienceSoft’s big data consulting team for a telecommunications company located in Texas. The platform utilized a technology stack that included Apache Kafka and Amazon Redshift as its foundation, enabling the generation of insightful regular and ad-hoc reports, as well as forecasting capabilities.

Development of Software for Online Bond Portfolio Management

ScienceSoft developed an automated service for a financial market information provider. This solution offers financial and investment professionals a comprehensive toolkit for tracking their activities with bonds and Eurobonds. It also provides access to reports essential for successful operations in financial markets, including trade floors, issue parameters, key values, country, industry, sector, and bond currency.

BI Consulting for a Diversified Company with 30+ Businesses

ScienceSoft proposed an architecture and technology stack to enable a conglomerate to extract valuable insights from the data generated by their previously disparate businesses, numbering over 30.

Sample BI Architecture

Let's work together

Creating digital experiences that help you grow is what we do best. Tell us about your needs, we would love to help.