Blog

The Top Five Benefits of Using SAP BW for Data Warehousing

Businesses have become increasingly data-driven in recent years. Having factual information to back-up important business decisions can be a very powerful tool. In fact, a 2020 Forrester report found that 58% of organizations who adopt data intelligence are more likely to exceed revenue goals than non-data intelligent organizations. A vital component of engaging in data intelligence is storing your data properly. Data warehousing can be used at any point in the data intelligence process, whether you’re just getting started and want the raw data to be rescanned for analytics purposes, or you’re finished and simply need everything to be housed permanently for record-keeping or auditing. SAP Business Warehousing (BW) is a data warehousing tool I continually use with our clients because its capabilities go far beyond just being a place to store your data. Below are my top five benefits to using BW.

 

Broad functionality

SAP BW is shipped with BI Content, which is a set of tools including ready-made extraction routines, meta-data, InfoCubes, information models, reports, and channels that guarantee analysis and reporting capabilities right out of the box. A client of ours is using BI Content to measure their system performance, report optimization, and monitor security.

Built-in flexibility

While the beauty of BW is that it’s a “ready-to-go” solution, it’s still easy to adapt. You can modify or add data sources, meta-data, InfoCubes, and reports as and when you need to. For example, you’re able to write your own ABAP codes in multiple places (transformations, InfoPackages, DTPs, etc.). For one of our clients we implemented a BW InfoCube and wrote ABAP routines to customize and add extract fields to the Cube.

Complex analysis capabilities

You have the ability to analyze multidimensional data sources in BW by using the MultiProvider tool. We implemented a MultiProvider for a manufacturing client that shows which part numbers will be sold more than others, and what stock they need for the next three years.

Permanent storage

With BW, you get permanent data storage as opposed to transactional data that could be purged and disappear, meaning that without it, costs can be much higher to access historical data. Users are able to drill through the data across various time periods and do projections for the future accordingly, which generally isn’t easy to do in a transactional database.

Bad data identification

Bad data can derail a project. In my experience, I’ve seen invoice records when the data is way in the future due to human error. If BW couldn’t detect this error, a million-dollar sale would just fall off the radar for this year’s numbers. By utilizing tools within BW, you can determine where the bad data is coming from, allowing you to attack the root cause and correct it.

No matter how large of a company you are or where you’re at in the data intelligence process, by utilizing BW, you’ll be able to learn from past data so you can plan accordingly for the future. You’ll have the ability to go beyond the IT function and empower your marketing, sales, and operations teams to make more strategic decisions for your organization.

 

About the Author:

Sam Gassem is a Senior Principal Consultant with over 25 years of experience in SAP BW/BI, SAP HANA, SAP Business Intelligent Business Objects, and SAP Data Services. He also holds several Global SAP Certifications. He has designed and implemented SAP BW and SAP Business Intelligent Business Objects in a number of markets including the Manufacturing and Pharmaceutical industries. He likes to camp, work in the garden, and ride his bicycle.

 

Related Blogs
See All Blogs
A member of a product team collaborating with colleagues remotely.
Blog
Jul 9, 2025

How AI Helped Me Think Like a Designer Before I Had One

When a UX gap threatened to slow a critical user flow update, our product team had no choice but to adapt. In this article, Director of Product Brittany Langosch discusses how although there's no substitute for a talented designer, using AI tools like ChatPRD and V0 can support fast collaboration and clear decision-making in a pinch.

Read More
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