What is SAP BI? Module, Full Form, Definition

By : Jessica Blake Jessica Blake
Hours Updated

⚡ Smart Summary

SAP Business Intelligence (BI) is the data warehouse and reporting platform that cleanses, consolidates, and stores data from many source systems, then turns it into reports and dashboards that support analysis and better business decisions.

  • 💡 Business Intelligence: BI turns raw organizational data into meaningful reports for decision-making.
  • 🏢 Data Warehouse: The data warehouse consolidates and loads data from many source systems.
  • 📊 Reporting Tools: Query Designer, Web Application Designer, and Analyzer build the reports.
  • 🔀 OLTP vs OLAP: BI is an OLAP system fed by changing OLTP transaction systems.
  • 🔍 Single Access: SAP BI gives one point of access to information from many sources.
  • 🤖 AI Assistance: Augmented analytics in SAP Analytics Cloud add AI-driven insights to BI.
Read More

What is SAP BI

What is Business Intelligence (BI)?

Business Intelligence (BI) is an application used to give meaning to the raw data an organization has. The raw data is cleansed, stored, and applied with business logic so it is useful for enterprise users to make better business decisions. This data can be presented as reports and displayed as tables or charts, which are efficient and easier to analyze.

During all business activities, companies create data about customers, suppliers, and internal activities. Based on this data, employees of departments such as HR, Finance, Accounting, and Marketing prepare their work plans.

Business Intelligence spans a varied toolset, of which the Data Warehouse consolidates and loads the data from different source systems, while reporting tools such as Query Designer, Web Application Designer, and Analyzer create reports that display the data consolidated by the data warehouse for analysis.

Business Intelligence

In summary, Business Intelligence tools transform raw data into reports used for decision-making and business forecasting.

Why Do We Need a Data Warehouse and BI?

Organizations have different kinds of data, such as finance, human resources, customer, and supplier data, which can be stored on different storage units such as DBMS, Excel sheets, and SAP R/3 systems. Even a company internal data is often distributed across many different systems and is not particularly well formatted.

Business Transaction Report

A data warehouse helps organize the data. It brings together heterogeneous data sources that mostly differ in their details. Using BI tools, you can derive meaningful reports.

What Makes SAP BI an Effective BI Tool?

  • A single point of access to all information is possible through BI. Data from various sources can be accessed in one place.
  • Data collected from various sources is presented as reports, efficient for high-level analysis.
  • SAP BI provides an easy-to-use GUI and better formatting.
  • It can analyze multidimensional data sources in both web and Microsoft Office environments, with flexible dashboards, mobility, and a scalable BI platform.
  • SAP BI is known for strong query performance while requiring little administration.
  • Mobile BI for end users on the go.
  • Easy integration with other platforms.

RELATED ARTICLES

SAP BI / Data Warehouse vs OLTP Systems

OLTP (Online Transaction Processing): OLTP systems have detailed day-to-day transaction data that keeps changing, for example R/3 or any other database.

OLAP (Online Analytical Processing): OLAP systems hold data for analysis. The input for this system comes from OLTP systems. Business Intelligence is an OLAP system.

OLTP Systems (Operative Environment) DWH/OLAP Systems (Informative Environment)
Target Efficiency through automation of business processes Generating knowledge (competitive advantage)
Priorities High availability, higher data volume Simple to use, flexible access to data
View of Data Detailed Frequently aggregated
Age of Data Current Historical
Database operations Add, modify, delete, update, and read Read
Typical data structures Relational (flat tables, high normalization) Multidimensional structure
Integration of data from various applications Minimal Comprehensive
Dataset 6-18 months 2-7 years
Archiving Yes Yes

Also Check: OLTP vs OLAP: Difference Between OLTP and OLAP

FAQs

SAP BI and SAP BW refer to the same data warehousing product. SAP Business Warehouse (BW) was renamed SAP Business Intelligence (BI) around NetWeaver 7.0, then largely returned to the BW name. The newest version is SAP BW/4HANA.

The Business Explorer (BEx) suite includes the BEx Query Designer to build queries, the BEx Analyzer for Excel-based analysis, the BEx Web Application Designer for web reports, and the BEx Report Designer for formatted output.

ETL stands for Extract, Transform, Load. Data is extracted from source systems, transformed with cleansing and business rules, and loaded into the data warehouse. In SAP BW, transformations and DTPs perform the ETL into InfoProviders.

AI adds augmented analytics to BI: it auto-generates charts, explains changes, finds key drivers, and answers natural-language questions. Tools like SAP Analytics Cloud let business users explore data without writing queries or building reports manually.

Augmented analytics uses machine learning to automate insight discovery. In SAP Analytics Cloud, Smart Insights explains figures, Smart Discovery finds drivers, and Just Ask answers natural-language questions, making BI faster and more accessible.

Summarize this post with: