I am a big coffee drinker, so I naturally found it interesting last week when I talked to someone who told me about a persistent problem he had at a coffee shop where he used to work. He said the shop had a nice atmosphere and friendly staff, but their approach to training was very casual, with the result that new baristas would learn to make drinks the wrong way—and then go on to teach those incorrect methods to the people hired after them. The upshot was, the staff all had different ideas on the right way to do things, and the customers never knew what they were going to get.
As a coffee lover, I found this story unnerving. But as a business continuity consultant, I found it all too familiar.
The reason isn’t because I do a lot of work with neighborhood coffee shops. It’s because I see the same problem over and over again in company training programs that have a bearing on business continuity.
And nowhere is this more true than in the area of data integrity.
Data integrity, of course, refers to the accuracy and consistency of data over the course of its lifecycle. It involves making sure the data is good from the time it’s born until the time it is removed—and it’s critical to the effectiveness and reliability of any system that stores and processes information.
Over and over again in this area I see the same problem of poor training—and the metastasizing of incorrect methods and information—that my friend described as happening at his old coffee shop.
However, this is only one of many problems with data integrity that I encounter at the companies I work with and hear about as I travel the country working on business-continuity projects.
In thinking about this issue, it occurred to me that it might be worthwhile to do a whole post on this topic, so without further ado, here are a few of my thoughts on the subject of how to ensure data integrity.
I’ll cap the post off with a list of five specific issues that I think might be worthwhile for you to think about, if you’re a BC professional committed to making sure your organization can recover its data in the event of a disruption.
Data integrity is critical for the successful recovery of any data-dependent organization that has been hit by an outage.
For you as a business-continuity professional, the critical questions to ask yourself as you assess the level of data integrity at your organization are:
In a nutshell, you want to make sure that the right people have access to the data, that they know what to do with it, and that they know how to report it.
If you don’t have the right controls in place, sooner or later you will have problems with the wrong people accessing the data or with people processing it wrong.
What kind of problems am I talking about? Here are a few of them:
When it comes to business continuity, the big issue with data integrity is, if you have an event, once IT recovers from your backup, how do you know where you stand in terms of the accuracy of that data? Can you be confident the restored data is good? Do you have a clear understanding of how up-to-date the restored data is?
The better your data controls, the more confident you can be in the quality of your restored data.
When we talk about how up-to-date the restored data is, obviously the restoration will only go up to the time of your most recent backup. That’s why everyone on your team should know when IT regularly runs the backup.
With the exception of a few types of data-heavy and highly sensitive environments such as hospitals and casinos, most companies run a backup once a day, in the middle of the night.
So if your organization does a backup once every 24 hours at, say, 2 a.m., and you have an outage one day at 3 p.m., obviously all the work people did from 2:01 a.m. until the outage at 3 p.m. will be lost and will have to be reconstructed.
If and when this happens to you, do you have a process in place to help you reconstruct that lost data?
Here are five issues you should particularly think about as you assess your organization’s data integrity and work to strengthen it:
So is there any way to tackle the issue of ensuring good data integrity at the root? There is, and it’s through the BIA.
The Business Impact Analysis is the cornerstone of your program. Among other things, it makes sure the right impacts, processes, dependencies, and records are entered into your system. The BIA requires a high level of data integrity because this drives everything else, including recovery strategies and recovery plans.
Numerous third-party tools exist that can help you conduct a rigorous business impact analysis. One you might consider is BCMMETRICS’ tool BIA On-Demand (BIAOD), a cloud-based, secure tool that gives you everything you need to conduct a complete Business Impact Analysis at the Company, Division or Department level. BIA On-Demand was built with a deep awareness of the importance of data integrity and can help you ensure that your data is accurate, up-to-date, and recoverable if and when your system is hit with an outage.