In this first post of our new series on overlooked incidents and AI analytics, we’ll discuss how intelligent monitoring of your metrics can open the door when opportunity knocks…before it walks away. “The main thing is to keep the main thing the main thing” – Stephen Covey Or at least that’s the intent when starting…
Looking for Business Incidents When You Don’t Know What to Look For Facing significant delays in discovering important incidents in their active, online business, PMC’s data science team needed a better way to stay on top of business incidents. PMC had been relying on Google Analytics’ alert function. However, the problem was that they had…
Just before we get into how Anodot extracts actionable insights from time series data, it’s worthwhile to recap what exactly a time series is and how businesses typically generate them. First, companies take a certain metric (a value or quantity) which is considered important, most often it’s one of the usual key performance indicators (KPIs):…
For some reason, there are still companies out there that mistakenly think that social media is useful only for interrupting people’s cat-filled feeds with a bit of marketing. The reality, however, is that technology today also allows brands to provide customer service over these platforms, and even mine them for business intelligence data. Although much…
Success in business hinges on making the right decisions at the right time. You can only make smart decisions, however, if you also have the insights you need at the right time. When the right time is right now, outlier detection can help you chart a better course for your company as storms approach –…
Whether they indicate a substantial business problem or an opportunity for performance and revenue optimization, detecting outliers is mission critical for companies of all sizes. In scouring time series data, knowing how to detect outliers is an important task that cannot be overlooked. Looking for unusual data points by manually examining every metric, however, is…
In our previous post, we discussed what data outliers are and why they are important to your business. Outliers can indicate both problems and opportunities, both of which need to be addressed quickly in order to either grow revenue or lessen losses. In this post, we’ll discuss how automated detection systems actually detect those outliers.…
Business metric data is only as useful as the insights that can be extracted from them, and that extraction is ultimately limited by the tools employed. One of the most basic and commonly used data analysis and visualization tools is the time series: a two-dimensional plot of some metric’s value at many sequential moments in…
#GlitchHappens. That’s an unavoidable consequence of the scale and speed of ecommerce today, especially when lines of code set and change prices in seconds. Unavoidable, however, doesn’t have to mean catastrophic, especially if a real-time anomaly detection system is deployed. In two real-world glitch incidents, we’ll see the cost of not employing real-time automated anomaly…
Better Ad Value Begins with Better Tools: Why Ad Tech Needs a Real-Time Anomaly Detection Solution An expanding component of today’s online advertising industry is Ad Tech: the use of technology to automate programmatic advertising – the buying and selling of advertisements on the innumerable digital billboards along the information superhighway. When millions of pixels…
Last weekend, British Airways experienced a major IT glitch that left thousands of travelers stranded. While the system was only down for a few minutes in total, no backup kicked in and so the damage reached into all different departments including booking, baggage handling, mobile apps and check-in desks. In the end, all London Heathrow and…
