Blog

SAP Business Information Warehouse: An Introduction

The SAP Business Information Warehouse (SAP BW) enables you to analyze data from operative SAP applications and from other business applications and external data sources such as databases, online services and the Internet. SAP Business Information Warehouse, which is pre-configured for core areas and processes, allows you to examine the relationships in all areas of your organization.

The following needs were taken into account when designing SAP BW:

  • A data warehousing system with optimized data structures for reporting and analysis
  • A separate system
  • OLAP engine and tools
  • Based on a comprehensive data warehouse architecture
  • Automated data warehouse management
  • Preconfigured with SAP global business know-how

Against this background, SAP decided to create its own data warehousing solution that classifies reporting tasks as a self-contained business component. To circumvent the numerous disadvantages associated with reporting in the ERP system, data storage, management and reporting takes place on a separate server, the SAP BW server.

SAP BW enables Online Analytical Processing (OLAP) for the staging of information from large amounts of operative and historical data. OLAP technology permits multi-dimensional analyses according to various business perspectives. The SAP BW server, which is preconfigured for core areas and processes, allows you to examine the relationships in all areas of your organization. SAP BW provides targeted information to companies, divided into roles. This information helps your employees to carry out their tasks.

With the Business Explorer (BEx), SAP BW provides you with a flexible reporting and analysis tool to support strategic analyses and decision making processes within your organization. These tools include query, reporting and OLAP functions. Employees with access authorization can analyze historical and current data at differing levels of detail and from different perspectives. They can use the Web or Microsoft Excel to do so.

Related Blogs
See All Blogs
Snowflake logo
Blog
Jun 26, 2025

Snowflake Summit 2025 Announcements

Snowflake Summit 2025’s latest announcements made it clear: the path to genuine AI-driven impact hinges on frictionless access to data, the ability to act on it with clarity, and absolute confidence in its protection. Learn more about how they're making that happen for customers in this article.

Read More
A team in an office smiling.
Blog
Jun 25, 2025

How ChatPRD Helps Build Better Stories (and a Stronger Team)

When user stories are vague, it slows down delivery, trust, and momentum. This article by Senior Product Strategy Consultant Traci Metzger shows how she used a lightweight, AI-guided system (ChatPRD) to write clearer, developer-ready requirements that actually accelerated execution.

Read More
Man working on a computer
Blog
Jun 6, 2025

QA in the Age of AI: The Rise of AI-Powered Quality Intelligence

As organizations push code to production faster, respond rapidly to new customer needs and build adaptive systems, the expectations on quality have changed. It's no longer enough to simply catch bugs at the end of the cycle. We’re entering an era where quality engineering must evolve into quality intelligence and organizations adopting quality intelligence practices are reporting measurable gains across key delivery metrics. Learn more in this article by Principal Engineer Jarius Hayes.

Read More
See All Blogs
noun-arrow-2025160 copy 2
noun-arrow-2025160 copy 2
See All Blogs