Anomalies can happen anytime in your business. Anomalies can affect the system of your business which can sometimes lead to nuisance to your users or customers. To prevent this circumstance, it is crucial to check your business statistics now and then. Since doing that manually can be challenging, professionals developed anomaly detection software enabling you to automatically check the anomalies of your system.
14+ Anomaly Detection Software
3. Loom Systems
7. Splunk Enterprise
8. Elastic X-Pack
10. Weka Data Mining
What is Anomaly Detection Software?
Anomaly detection software is the technology you need to monitor the stability and statistics of your business, especially the eCommerce business. Anomaly detection can help you track and locate abnormal activities of your system, leading you to perform bug fixing and improve protection. Anomaly detection software provides numerous features and functionalities that will help you monitor and fix your system conveniently. This software demonstrates different kinds of anomaly illustrations to assist you in determining what aspect is affected the most; knowing where the abnormal activities aid you to prepare how to fix them and focus more on the affected area. Continue reading below for more.
Manually checking and monitoring your system can take too much time and inaccurate repair. Such incidents can be costly, leading to loss. With anomaly detection software, you can conveniently and quickly detect the abnormal behaviors of the system and prepare for an accurate improvement plan for the weak points. Such a tool is contributive both financially and operationally.
Various technology companies developed anomaly detection software. Some provide basic free features, advanced premium features, and free trials over a certain period. Frankly speaking, some platforms offer expensive features but do not meet your expectations. Paying for something you are not satisfied with can be a problem. Therefore, it is advisable to research and try anomaly detections software yourself to assess and experience firsthand what software suits your business the best. The following are examples of features you might need for your research:
- Integrated Development Environment
- Inventory Optimization
- Content Management
- Drag & Drop
- Data Blending
- Data Connectors
- Data Discovery
- Data Visualization
- Predictive Analytics
- Statistical Analysis
Top 10 Anomaly Detection Software
1. Splunk Enterprise
Splunk Enterprise, developed by Splunk, includes AI/machine learning, application security, audit trail, and many other features. Splunk has annual revenue of $1,270.8 million and 5,184 employees.
“Prelert is committed to making it easier for users to analyze their data and derive real, actionable value from it,” said Mark Jaffe, CEO of Prelert. Prelert, developed by Elastic, has annual revenue of $192.6 million and 1,328 employees.
3. Elastic X-Pack
Elastic X-Pack provides features such as security, alerting, monitoring, reporting, graph, machine learning, and many more. Elastic X-Pack is a software you can rely on. With annual revenue of $192.6 million and 1,328 employees.
A powerful page builder with drag and drop functionality for eCommerce websites, providing features including API, inventory optimization, web/mobile app development, and many more. With annual revenue of $23.3 million and 219 employees.
Anodot is quick monitoring software that detects incidents that impact your revenue. They provide features, such as correlation analysis, business dashboards, data visualization, and many more, with annual revenue of $14.6 million and 101 employees.
Avora brings in data from any source, writes raw SQL, providing features such as harmonization visualization, 300+ integrations, real-time updates, and no limits, cloud mobility, and many more you can easily use and access. With annual revenue of $8.8 million and 61 employees.
Scuba’s Interana offers features, such as business intelligence, data analysis, customer journey mapping tools, big data, and many more. Scuba has annual revenue of $5.2 million and 36 employees.
8. Loom systems
Loom systems provide features including IT monitoring, root cause analysis, data visualization, and many more. With annual revenue of $4.6 million and 32 employees.
Numenta is inspired by machine learning technology that provides features, such as real-world data set, scoring mechanisms, open-source code libraries, and many more. With annual revenue of $3 million and 21 employees.
CrunchMetrics is a SaaS platform enabling business opportunity discovery via anomaly detection. With features such as predictive analytics, profitability analysis, benchmarking, and many more. With annual revenue of $0.9 million and six employees.
What is the purpose of anomaly detection?
The purpose of anomaly detection is to determine abnormal activities in your data sets. Most anomaly detection software is machine learning enabling automatic detecting of these anomalies. Anomalous data can reveal critical incidents, such as a technical glitch, or potential opportunities, and changes in customer behavior. With anomaly detection software, you can ensure your systems are up-to-date and whether if it needs antivirus software.
What are the three basic approaches to detecting anomalies?
The main advantage of the predictive confidence level approach is that it can identify local outliers. The statistical profiling approach is contributive for highly volatile time series; most predictive model algorithms fail when the data is volatile. Lastly, unsupervised approaches are extremely helpful for anomaly detection because they do not require any labeled data indicating that a particular data point is an anomaly.
What exactly is an anomaly score?
An anomaly score is usually a given range from 1-100. It serves as an indicator of the level of anomalies in your system. Such a method helps you understand and decide which areas need to be prioritized and get them fixed quickly. Anomaly scores have colors such as red for higher and blue for lower.
Anomalies in your system can cause a multitude of problems, especially when unattended. Monitoring anomalies to keep your system safe is difficult and time-consuming. Luckily enough, experts developed anomaly detection software with machine learning to monitor and evaluate your system twenty-four/seven. Choose the best software for you and live anomaly-free.
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