In today's competitive market, digital businesses such as fintech, ad tech, media and others are always on the lookout for the next big thing to help streamline their business processes. These businesses are constantly generating new data and often have systems and people in place to monitor what is going on. For example, within one company, you might find an IT group monitoring network performance while someone in product management watching page response time and user experience while marketing analysts track conversions per campaign and other KPIs. It is no secret that anomalies in one area often affect performance in other areas, but it is difficult for the association to be made if all the departments are operating independently of one another. In addition, most of the available tools for this type of monitoring look at what has happened in the past, so there is a built-in delay between when something important happens, and when it may (or may not) be discovered via the monitoring process.
Simple enough to be embedded in text as a sparkline, but able to speak volumes about your business, time series data is the basic input of Anodot's automated anomaly detection system. This article begins our three-part series in which we take a closer look at the specific techniques Anodot uses to extract insights from your data.
Lyft, a leading ride-sharing organization valued at over US$11 billion, depends on its mobile apps and backend infrastructure to run its business. Undetected problems, such as riders not being matched with rides in a timely manner, can cost the company revenue, customers, and market share. Artificial intelligence (AI) can be used to identify problems in real time without the need for manual inspection of multiple dashboards. Join our webinar to hear how Lyft and other data-driven organizations benefit from uncovering hidden insights in real time with AI solutions from Amazon Web Services (AWS) and Anodot. Learn how to prevent events that can impact your revenue and brand integrity with a solution that detects anomalies quickly, allowing you to address issues in a timely manner to help ensure a consistently high-quality experience for your customers.