If McKinsey has done their due diligence, the global insurance industry is going to look very different by 2030. By their estimates, the continued introduction of new technology like the internet of things (IoT) and artificial intelligence will radically change the way that most insurance providers do business—paving the way for smart, automated workflows that reduce much of the need for paperwork and manual interventions. As a result of these changes, McKinsey estimates that fully 25% of positions in the industry could be automated or consolidated by 2025, and that by 2030 the number of personnel associated with claims in particular could be reduced by more than 70%.
End-to-end testing: for many telco operators it’s the holy grail of service verification, but it can also be a slow, laborious process that adversely impacts time to market. Even if you’ve managed to automate your relevant equipment and collect success and failure data from the relevant end-points, you might still find yourself in a position where hard-to-read data and hard-to-program use cases stop your end-to-end tests from running as quickly as you would like. When this happens, you’re in the uncomfortable position of either sacrificing high levels of test coverage by cutting the test off early, or delaying your network migration or device rollout to accommodate slow testing.
Today, the insurance industry is in the midst of a digital transformation. Sure, there are gradations from one insurance provider to the next in terms of how far along they are and how they envision the future of the industry—but the general trend is that the world of pens and paper needs to give way to connected, intelligent workflows that can generate, validate, and pay out claims digitally. The result of this impulse is already being felt by end users—who are already more likely than they were a few years ago to make use of an app when interfacing with their insurers—but it’s being felt just as acutely by internal staff at insurance companies. After all, they need solid UX in order to do their jobs quickly and efficiently.
One of the top goals that every telecom operator aspires to is consistent service, and a big part of that consistency is tied to how well you can coordinate with other networks to offer high quality roaming service for your customers. Perhaps more so than in the past, users don’t want to comb through a lot of fine print about where their in-network coverage begins and ends—they simply want to be able to use Gmail while they’re out and about in the world without experiencing any glitches or service anomalies.
It’s no secret that test quality has a direct impact on quality of service, meaning that high quality tests can and do correlate with telco operators’ ability to attract and retain customers. And yet, as telecommunications networks become more and more complex, maintaining high quality tests for things like subscriber migrations, new network rollouts, device acceptance, etc. is becoming more difficult and time consuming than ever. Obviously, testers need to find a way to maintain coverage and quality levels—even in the face of growing network complexity—but the path to doing so is not always clear.
As recently as a few years ago, the idea of a smart home—in which all of your appliances and other sensors around your home are networked together digitally—still seemed more like science fiction than a fact of life. And yet, today you can walk into many new homes and use your smartphone to control the temperature and the lighting, you can preheat the oven remotely, and you can get alerts to your mobile device if your smoke detector or burglar alarm goes off. It’s the type of home that technologists have dreamed of for decades.
The digitization of telecommunications has led to the adoption of many software testing methodologies, including end-to-end (E2E) testing. Sometimes confused with system testing, E2E testing goes much farther, validating the interoperability of different network components and their complex interactions.
At some point in their growth and development, most businesses regardless of industry eventually reach a point where they realize they can’t do it all themselves. Either they need help marketing their product, or some of their more tedious HR tasks could be outsourced, or their testing operations could be made more efficient by partnering with an outside agency. Some companies outgrow this stage and ultimately reclaim their ability to do things in-house, but others continue to grow with their partnerships in tact. Neither approach is necessarily better than the other—but they both present distinct pros and cons.
We talk a lot on this blog about end-to-end testing, and we don’t plan to change that fact any time soon. Why? Because end-to-end still represents the only testing methodology that puts the needs of end-users at the center of the testing process—and end-user experience is only becoming more important in the ever-changing telecom domain. So, naturally we want to give our readers the tools and information they need to outline end-to-end tests within their networks in order to maintain a high quality of service. That’s why today we’re taking a deeper look at some specific instances of end-to-end testing, in order to provide a more concrete idea of what this methodology looks like in practice.
Let’s imagine that you’re a trendy new startup. You’ve got a new widget that lots of people are downloading that helps that track their runs, or manage their time more effectively, or connect with other members of their community. Sure, there are the usual set of information security concerns, and you have plenty of functionality to build out over time, but the occasional bug or service outage isn’t going to be the end of the world. While high quality testing is still mission critical, it might not feel like a life and death situation.