Risk management and big data

Published on February 27, 2017   15 min
0:00
Hi, my name is Scott Baldwin, and I am the Global Program Manager for Business Continuity, eBay. Today, I'm going to be talking about data in business continuity and risk. And how we use it to facilitate what we do.
0:14
Any large B2C or C2C online marketplace, such as eBay, has data at its core. From a very high level, what we're doing is bringing two sets of data together, the supplier information and the consumer information, where they connect is called a transaction. Obviously, this is a very simplistic view of the buyer-seller process. In reality, there are dozens of distinct components and hundreds of pieces of data that make up a single transaction.
0:44
This data is used for many different types of things and pieces of it are sent to various areas in the organization from marketing to customer service, to risk, which is where this talk will be concentrated. Within risk is a subarea called "business continuity". This is my small corner of the world. And today, I'm going to talk about how we use data in the facilitation of business continuity.
1:09
What is business continuity? Business continuity is the discipline of proactively enabling the business to achieve the appropriate level of readiness in order to address any potential business disrupting events. This is typically achieved through three primary activities. First, the business impact analysis. Next, is the development of the recovery plan. And finally, the recovery exercise. However, this part is not in the scope of today's discussion and will be excluded. I'm going to take a closer look at the first two of these activities and how we use data in that process.
1:48
First, is the business impact analysis. The business impact analysis is an activity in which we measure what the impact to the organization would be if a given department became unavailable. Additionally, we look at what time frame this impact would become unacceptable. The result of a business impact analysis is something called a "recovery time objective" where the time that a department can be unavailable before the impact becomes unacceptable.
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Risk management and big data

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