barcode generator project source code in vb.net Estimating the Cost of Data Loss in Software

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Estimating the Cost of Data Loss
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How valuable is your information This probably is a question that you don t often have to answer, since you just assume that protecting your data is important (regardless of whether you actually do protect it). But, when it comes to devoting time and financial resources to protecting against data loss, you must have some idea about the value of your information. As when developing downtime cost estimates, you must consider the number of users that might be affected and the types of information involved. Instead of going through the thorough analysis we ve performed in this chapter, you may wish to simply consider some examples of these costs.
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Downtime Cost (per hour) $3,000
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Downtime Cost (per day) $40,000
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Notes May disrupt other business processes. Individual users may be able to use other machines. Estimates assume that data is not lost. Costs will vary by department and by the functions of individuals. Customers and suppliers will also be affected.
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$16,500
$250,000
File/print server
100 (average)
$20,000
$175,000
Warehouse inventory database
$12,000
$125,000
Table 1-3.
Estimated Downtime Costs by Machine
First of all, in most cases, data loss is probably not complete. That is, some level of backups will be available. The question regards how much data loss you can afford. Therefore, based on how important you feel the information is, you can determine the financial effects. For example, if a file/print server for the marketing department loses a week s worth of data, it would take significant time and expense to recover the information. On the other hand, if your data warehouse loses information from the last periodic update, the data can be regenerated from the source systems (assuming time allows for the operation).
Developing a Budget
You now have an idea of what your information systems are worth to the organization. However, even with this information, developing a budget won t be easy. In many cases, a systems or network administrator will be asked to evaluate various backup solutions
1:
Evaluating Corporate Data Requirements
and provide the results to a manager for approval. For example, the cost of 12 tape drives, an autoloader, and enough media for a month might offer one level of protection and have a certain cost. Another solution might provide better protection, but the costs will be much higher. We ll examine all the parameters involved in choosing the right technology in 5, Evaluating Data Protection Solutions. For now, keep in mind the tentative numbers you ve calculated.
A Sample Business Requirements Worksheet
So far, we ve gone over a lot of information related to determining business requirements. As mentioned at the beginning of this chapter, it is of critical importance that you define your business requirements before you look at the technical requirements of your solution. The purpose of this chapter is to help you think about what your data protection needs really are. Now it s time to bring a lot of this information together. Table 1-4 serves as a business requirements worksheet to help you summarize what you think your organization s data protection needs are. In addition to these requirements, you might also have a preliminary budget limit that can serve as a guideline for evaluating solutions. You should also begin thinking about personnel and the types of expertise you ll need available to implement a solution.
Machine Server 1 (file/print services) Server 2 (file services) SQL Server 1 (Sales OLTP) Shipping server
Amount of Data 6.5GB
Backup Window 12 hours
Acceptable Downtime 1 day
Acceptable Data Loss 1 day
Other Requirements General file/print server Engineering file server Sales order entry Must remain online at all times; transactions cannot be lost.
17GB 6.0GB 17.5GB
6 hours 12 hours 2 hours
3 hours 30 minutes 5 minutes
4 hours 1 hour None
Table 1-4.
Sample Business Requirements Worksheet
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SUMMARY
In this chapter, we focused on how a business uses and depends upon its information. First, we considered the numerous reasons for protecting crucial data. Then, after speculating on how data protection might work in an ideal world, we identified reasons why our world isn t ideal. Specifically, time, technology, and other constraints prevent you from storing every piece of data on your systems forever. We examined the threats that lurk in our often volatile world just waiting to annihilate your data. Recognizing these hazards, we began exploring how business systems are used to meet data protection goals in a less-than-ideal world. Then we addressed the real challenge: using all of this information to determine what data should be protected, how often it should be protected, and how it can best be recovered when necessary. This groundwork will be extremely useful for developing a data protection plan and choosing the appropriate equipment and solutions tasks that we ll tackle in the following chapters.
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