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Customer Snapshot

Pinpointing Market
Signals to Connect Sellers and Buyers

1 billion

transactions every day



eBay needed a better way to sift through their massive 50 petabytes of data to separate true market signals from noise. They turned to SAP HANA to improve predictability, which would allow eBay to provide key intelligence to their sellers.


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The challenge of sifting through data




San Jose, California, USA

Customer Website



US$14.1 billion

Number of Employees


Implementation Partners

Cisco, NetApp

Line of Business



High Tech, Retail, Professional Services

Featured Products



Transforming commerce

In 1995, Pierre Omidyar wrote the code for an "experiment": giving everyone equal access to one global marketplace. He tested his new auction website by posting a broken laser pointer, and to his surprise, a collector bought it for $14.83. Today, eBay introduces buyers to sellers all over the world.

Business Model

Tapping the global marketplace

What would happen if everyone in the world had equal access to a single marketplace? eBay has the answer: with a presence in 39 markets and more than 90 million eBay.com users worldwide, trading more than $1,900 worth of goods each second, they’ve triggered a radical transformation, becoming the global leader in e-commerce and payments.


Success Strategy

Powered by people

eBay was founded on a simple idea: people are basically good. This fundamental belief helped create a completely new kind of marketplace, transforming e-commerce along the way. Today, eBay’s values continue to guide how they do business and connect buyers and sellers all around the world.

The Challenge

Seeing what’s important

Analyzing tens of thousands of variables and millions of transactions daily is tough, but that’s exactly what eBay needed to do in order to provide actionable intelligence to their sellers. They wanted to make their 50 petabytes of data useful by predicting improvement opportunities for its resellers in near real-time.

Enter SAP

Early detection

eBay relied on more than 300 analysts to study data from the North America marketplace on a full-time basis. But much of the process was manual, and sometimes opportunities could be missed. After partnering with SAP, eBay can benefit from real-time insights through an early detection system powered by Predictive Analytics on the SAP HANA platform.


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Timely signals

The SAP Experience

Speed and accuracy

SAP HANA can analyze 500 metrics and automatically select the best model to determine 100% accuracy, 97% of the time. This reliable automated detection system frees up bandwidth so eBay analysts can spend their time on strategic tasks – and stay focused on connecting buyers and sellers, rather than on administrative tasks.


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The value of speed

Running Better

Big insights from big data

eBay now leverages Predictive Analytics on SAP HANA to power their Early Signal Detection System for their marketplace – all to gain insights into their virtual economy, identify opportunities, and take corrective action. eBay knew where to turn to solve their big data problem and the firepower that SAP HANA provides is untouchable.


Greater speed, greater results

Because of the speed with which they can access and use data, analysts can now gain insights that enable them to think proactively and act more strategically, allowing them to focus on new ideas for increasing sales.


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Great people become exceptional


Real help in real time

Today, eBay and SAP have formed a strong partnership to extract real value from mountains and mountains of data. eBay has embraced the power of real-time analysis and can now inform and enlighten their sellers like never before.

Journey Ahead

Where the world is heading

eBay is an organization that thrives on smart analysis of the data their sellers, and buyers generate day in and day out. SAP HANA has enabled the company to take the first steps toward better understanding the eBay economy, and they plan to embrace this new capability to the fullest.


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Just the beginning

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