When Pinterest focused on improving the speed of pinning items, customer engagement in the application increased by 10-30%. As Gartner’s Penny Gillespie puts it, “Customer experience is first and foremost…it’s all about serving the 24/7 customers.”
If you harbor any doubts that we live in an omnichannel age, take a look at the following statistics. According to Google, 98% of Americans switch between devices in the same day. In the early 2000’s, only 7% of consumers used more than four touchpoints when purchasing an item. Fast forward to today, and that number has climbed to over 50%.
We live in a visual age; people frequently communicate via emojis, the grey cubicles associated with corporate offices have been largely replaced by bold colors and collaborative work stations, and social video platforms like TikTok are experiencing significant growth. There are countless other examples of society’s visual obsession, including our expectation that websites and applications always render perfectly regardless of the device, platform or operating system in use.
Today we announced new enhancements to Digital Automation Intelligence (DAI) designed to simplify AI-driven automation while simultaneously enabling companies to improve the quality of their digital experiences.
In late July, news broke that researchers at Armis Labs had identified numerous vulnerabilities in an operating system known as VxWorks, leaving approximately 200 million devices vulnerable. Unfamiliar with VxWorks? You’re not alone—as Ben Seri, VP of research at Armis put it, “VxWorks is the most widely used operating system you may have never heard of.”
In a recent article in the Enterprisers Project, Kevin Casey wrote, “If it’s repetitive and manual, it’s probably a good fit for RPA.”
Digital twins are a growing area of enterprise investment, with Gartner predicting that the use of digital twins will triple by 2022. The technology, a digital representation of a physical object or system, offers companies a host of benefits, among them improved productivity, reduced down time, reduced risk and improved performance.
We operate in a continuous delivery world in which a seamless customer experience is paramount. Regardless of whether you’re a global Fortune 500 organization or a fast-growing startup, failing to deliver a digital experience that delights your users is a critical mistake you can’t afford to make.
In early 2017, US grocery chain Winn-Dixie invested $7 million to improve its website but overlooked a critical component: testing to ensure it was accessible to people with disabilities. This mistake garnered national attention when the retailer lost a federal case accusing it of violating the Americans with Disabilities Act (ADA).
The Winn-Dixie lawsuit is considered a landmark case but it’s hardly a unique situation—website compliance suits are on the rise. According to a legal blog tracking these cases, there were at least 2,258 such suits filed in the US alone in 2018—an increase of 177 percent from the prior year.
Performance testing just got a lot easier.
While delivering quality at scale is essential, simply setting up a performance test can be a challenging and time-consuming exercise, and then you need to analyze it. So, despite its importance, performance testing is not commonly used during development cycles.
“Effortless Performance Testing” in Eggplant Performance 9.0 changes all that, with a simple-to-use load testing capability that re-uses your existing Eggplant AI assets. So you can now run performance load tests on your system with no technical knowledge and no coding.