There are lots of metrics for measuring security readiness and response, but we think this one's hard to beat: the time between when a security incident occurs at a major company and when the CEO is forced to make a grovelling public apology.
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IT security is often treated as insurance -- something you have to spend on but which doesn't deliver any actual value. Forrester analyst Michael Barnes reminds us that in an era where breaches are increasingly common, strong security and governance can actually be a means of attracting customers.
We're often told that consumers prefer native mobile apps to mobile-optimised web sites, but does that mean organisations have to deliver them? An analysis of Australia's big four banks by Forrester suggests that a mixed approach -- using native functions when helpful, but linking to web sites otherwise -- delivers good results.
In large enterprises where ITIL is an acronym that doesn't need explaining, you'll often find IT pros arguing the merits of a configuration management database (CMDB) to track and manage technology assets. Forrester analyst Glenn O'Donnell argues that while tracking configurations is vital, the CMDB approach is far too limited for modern IT.
The attempt to roll out universal health cover in the US has suffered a major setback with performance issues on the Healthcare.gov site used to allow consumers to sign up for individual plans. Forrester analyst David Aponovich points out that all web projects can learn from the mistakes made rolling out the site.
Samsung's much-anticipated Galaxy Gear smart watch was officially launched today. One potential advantage it offers you might not have thought of? Improved identity and access management.
If you're running a mainframe (and many enterprises still are), then one of your biggest expenses will be the monthly licence charges (MLCs) imposed by IBM. Reducing those costs could make a considerable difference, but making those calculations can be tricky.
You often hear the argument that data quality isn't a major concern in big data projects, since the volume of information being analysed can smooth over any problems. However, Forrester researcher Michele Goetz points out this doesn't mean IT shouldn't work hard to ensure the data is as accurate as possible.