Glitch List: January 2020
Welcome to the new year and a new decade! We’re sorry if you were hoping for “new year, new jokes.” But new glitches, we’ve got plenty of.
Welcome to the new year and a new decade! We’re sorry if you were hoping for “new year, new jokes.” But new glitches, we’ve got plenty of.
Number of sessions, total sales, number of transactions, competitor pricing, clicks by search query, cart abandonment rate, total cart value…the analytics tools commonly used by eCommerce companies for performance monitoring can’t include every metric, and even if they did the analysts using them wouldn’t be able to keep up with the amounts of changing data.
Today’s business needs make it virtually impossible to function without relying on an extensive network of partners and third-party providers. An IBM study found that 70 percent of businesses were looking to increase their external partnerships.
An emerging field of data science uses time series metrics to develop an educated estimate of future developments in business such as revenue, sales, and demand for resources and product deliverables. A forecast is based on historical data of a given metric plus other relevant factors. Accurate forecasts are an important aspect of corporate planning.
As a company known for our anomaly detection, we know a thing or two about spotting irregularities. So as we reached the end of 2019, we couldn’t help but think back on the 2010s and the anomalies that shook the world. Once we got to listing them, it really became tough to pick just 10. Ultimately, after much debate, we ranked them based on their impact, newsworthiness and how utterly unexpected they were.
The busiest shopping season of the year was chock full of glitches, aggravating harried shoppers and business owners alike. Did your X-mas gifts get diverted, delayed, or returned to sender due to a glitch?
Rapid software release is the new norm – and that has pushed many companies to ditch their monolithic software development approach in favor of SOA. More companies are embracing microservices – an SOA-style approach for developing and deploying business logic as small, independently deployed services – for a number of reasons: it reduces risk, is faster to deploy and it easily scales.
While checking in recently with one of Anodot’s newest clients, I got the sort of feedback that every product owner loves hearing. I asked, “During this past month, have you been able to check alerts triggered for your region? Do you use them? Do you have any feedback?” They replied, “The alerts are spot on. Thanks all.” The company then went on to adopt Anodot across more teams. So why are we so obsessed with alerts being spot-on?
Start your engines. The holiday season has officially begun! With the upcoming shopping frenzy surrounding Black Friday and gift buying, it is one of the most important times of the year to avoid glitches like the ones below.
At the advent of the technological era, developers found themselves wasting hours of valuable resources on manual QA. As software was released, teams manually confirmed that it was bug-free and reliable, all the while testing new features and checking for regression of existing features. Unfortunately, this manual approach was prone to mistakes, created long delays in workflows and was tedious and time-consuming.