In today’s threat-laden environment, where production data is one of the chief targets of hackers, organizations developing software must expend both time and resources securing their production data. One of the simplest ways to ensure security for software testing activities is through the use of targeted, advanced data-handling solutions that can synthesize and virtualize production data.
Despite the proven value of collecting raw software project data and analyzing it to create actionable, easily digested key performance indicators (KPIs), many firms still struggle to extract, analyze, and organize this data into reports—let alone dashboards or scorecards. If this sounds like your organization, don’t be surprised. In my experience, only a handful of firms have been able to implement truly effective, streamlined reporting systems—and many teams and their leaders don’t even recognize what they are missing.
“The world has really changed, as we see it. You used to have a point where an application was ready to go live and security would have to come in and bless the application….What we see now is that is not the [case]. The focus now is to ensure we have an ecosystem to make secure applications and monitor…so you don’t have to stop on your way out the door.”
Although both mobile apps and big data analytics have become pivotal to business operations on a broad scale, one area of software development—enterprise resource planning (ERP)—has not historically been part of the revolution. Today, that is changing, as ERP developers recognize that their systems are perfect candidates for mobile-centric, big data analytics.
Mobile user expectations are an interesting thing. We all hear that they are through the roof, and that users expect app behaviors and responses to occur in near-nanoseconds. What most of us don’t hear is that the features and functions that matter to users do not necessarily align with what developers are giving them—or what developers think they want.
As user expectations escalate and development and testing costs continue to increase, organizations are seeking additional mechanisms for gaining more insight, earlier, to improve product quality. One contributor to this effort is data analytics and visualization.