In a move to provide more business intelligence, Amazon is launching a new tool that monitors key performance indicators (KPIs) to detect ‘anomalies’ so it can alert the business to potential problems.
Lookout For Metrics
‘Lookout For Metrics’ is the name of the new service from Amazon Web Services (AWS) which uses machine learning for business analytics to monitor KPI’s such as web page views, mobile app downloads, numbers of active users, and income to detect any anomalies and to inform the business/organisation about those anomalies.
The kinds of anomalies / outliers from the norm in business and operational data that AWS is referring to are spikes, dips, and other unusual patterns detected within the analytics that are outside of normal bounds across business functions.
Amazon says that that the Lookout for Metrics tool can be easily connected with event and notification services such as Amazon Simple Notification Service and AWS Lambda to created automated and customised alerts and actions when anomalies are detected, such as filing a trouble ticket.
AWS says that this kind of monitoring can help businesses to better understand customer issues (e.g. churn rates) and take action to improve customer experiences, optimise digital ad-campaigns and prevent overspends, and take action to optimise user engagement by understanding changes in metrics such as new users, app installs, in-app purchases, or retention rates. The Lookout For Metrics Tool can, therefore, give businesses critical insights to help them make better decisions and create a more productive and efficient organisation, giving them another way to analyse how to keep up with their competitors, and grow revenues.
AWS also points out that using this tool is a faster and more accurate way than traditional methods for anomaly detection, thereby minimising damage by saving time in finding the root cause of anomalies. Also, the tool gives businesses a prioritised list of issues, ranked by severity, so that any business can clearly see which issues need immediate attention and which can wait.
Easy To Set Up
Lookout For Metrics requires no specialist machine learning training to start using it and Amazon says that it “connects seamlessly” to popular AWS databases and has pre-built connectors to third-party SaaS applications, thereby enabling the monitoring of metrics and anomaly detection to begin with just a few clicks.
Type of Metrics
The types of popular datasets that Lookout For Metrics can be connected to include Amazon S3, Amazon Redshift, Amazon Relational Database Service (RDS), and third-party SaaS applications, such as Salesforce, ServiceNow, Zendesk, and Marketo.
What Does This Mean For Your Business?
Having access to accurate and timely business intelligence can help businesses to optimise their marketing, make better decisions, and make a business more competitive. Being able to easily set up an automated tool that’s compatible with popular datasets makes this a convenient and fast way for businesses to get a better understanding of where faults lie and where value-adding improvements can be made, and which areas to tackle first. This gives many businesses access to the kind of expert insights that would be more difficult, time consuming and costly to obtain by traditional methods. For AWS, this provides a way to show themselves as a provider of Business Intelligence (BI) as well as many other services.
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