To keep you up-to-date with the latest anomaly detection news, we keep a list of companies that suffer major glitches. Here’s who made headlines in March.

When I was a kid, we would head to the city to buy things, everything from a pair of shoes to new school supplies. As I grew up in the 1990s, we were introduced to a new way of shopping: malls. They were easier, the variety was bigger, and the lights were brighter. With that, our habit of street shopping mostly “died.” Over the past few years, retail has been rattled by another development: online shopping, which, according to all indications, is now killing the mall.

Despite being one of the most important factors that affect online businesses today, downtime is also often one of the most overlooked. Many organizations realize that downtime results in immediate money loss, customer satisfaction and employee productivity, yet fail to employ measures that will efficiently prevent it and reduce it.

It doesn’t matter what industry you’re in — there’s more data at your fingertips than ever before. And with that data comes an opportunity to make informed decisions that will take your business to new heights. For marketing alone, becoming best-in-class at data analytics can help you generate 20 percent more revenue than your competitors. Those benefits increase exponentially when you bring data-driven decision-making to every aspect of your business.

A couple of months ago we released the all-new Anodot.com. Following the release, I explored our Google Analytics account to see what had happened post-launch. I have always been ambivalent about Google Analytics. On the one hand, the service has helped shape web analytics as we know it today and is used by nearly every website. Not to mention it’s free and rather easy to consume. On the other hand, GA is never a slam dunk.

There’s a lot of confusion surrounding the differences between structured and unstructured data. To better understand why, let’s review which data formats the industry currently is using, and some of the challenges they pose. Simply put, structured data typically refers to highly organized, stored information that is efficiently and easily searchable. Unstructured data is not.

While enterprise leaders are constantly looking to innovate, there’s one area where “business as usual” should be a focus — spotting anomalies in your data. When it comes to time series data, “business as usual” is the baseline or expected behavior of the KPIs you track. Any unexpected deviations in those patterns can be classified as anomalies. However it’s important to keep in mind that anomalies can be either negative or positive.

Digital, network-connected systems are transforming every aspect of business — from your mission-critical workloads to your most rarely used applications. But the increases in scalability and cost efficiency come at a cost. Because every system is so reliant on network connectivity, unplanned downtime is becoming increasingly expensive.

Back in the days of the wild wild web (www) and post JQuery era, one web framework stood above all others: AngularJS. A “ring to rule them all”, AngularJS consolidated quite a few micro-frameworks and provided many extensibility points of expansion if needed. Over time though, many performance and architectural questions began to arise, to the point of no return – when the guys @Google decided to migrate from AngularJS to Angular (a poor naming decision).

Having just passed the 10-year anniversary of Malcolm Gladwell’s bestseller “Outliers: The Story of Success“, we thought to mark the occasion by taking a look at outliers and how they relate to success in the business world. Gladwell describes outliers as “those [people] who have been given opportunities — and who have had the strength and presence of mind to seize them.” At Anodot, we’ve also made it our mission to spot outliers, albeit of the data variety.