Definition - What does Business Impact Analysis (BIA) mean?
Business impact analysis (BIA) is a component of business continuity planning that helps to identify critical and non-critical systems. A business impact analysis also assigns consequences and usually a dollar figure to specific disaster scenarios. It will also include estimated recovery times and recovery requirements for such scenarios. The business impact analysis is often used to measure the risks of failure against the costs of upgrading a particular system.
Techopedia explains Business Impact Analysis (BIA)
A business impact analysis can work on several levels. An organization-wide BIA will identify large risks and their fallout, such as losing all the data on the company servers. A branch or department BIA will highlight the particular systems that are critical to those users and what would happen if they were unable to access them. The overall business continuity plan will contain steps for addressing any problems, but a BIA can be very helpful in spotting obvious weaknesses before they become serious issues.
Beginner's Guide to Business Intelligence
- Learn how to harness the power of business intelligence and analysis to gain a competitive marketplace advantage. We cover the technology that powers BI, delve into the latest market research, and examine emerging trends.
Business Intelligence Buyer's Guide
- This guide examines the data warehousing and data visualization/analytics markets. Case studies detail how businesses are using this today, as well as which products serve best for each major applications.
Guide to Data Warehousing
- Implementing a data warehouse is a strong step toward managing data on an enterprise level. This guide covers the factors one should consider when selecting and implementing a data warehousing solution.
- All of our content related to security, threats, and information assurance.
Data Warehousing Product Selection Tool
- Compare the Best Data Warehousing Tools
Implementing a data warehouse is a strong step toward managing data on an enterprise level, either for management purposes or business intelligence efforts.