Some outliers are obvious, but data outliers may not be. Data entry errors, suspicious transactions and faulty processes can all cost you dearly. On the other hand, knowing about your exceptional customers is vital. Penny Analytics finds your data outliers, ranks them by their importance, and gives you the reasons why.
Outlier detection for average people
You only need Excel skills and it’s easy to get started. Create an account and upload one of our free trial datasets. Choose your data retention option and place your order. 95% of orders are ready in less than an hour.
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Data is kept securely in the cloud and follows data retention policies. Our standard policy is that data is deleted after a month, but you can choose to get it deleted after a day. Put our data security to the test during your free trial.
Like a laundry service
No need for data scientists, consultants or software. You drop off and pickup and we do all the work in between. It’s simple and economic, you pay per transaction and nothing else.
We provide an alternative to the traditional ways of getting data science done. Who else would try to sell themselves as a laundry service?
Free data profiling
Penny Analytics provides a free data profiling report after every successful file upload. This allows you to learn more about your data and verify aspects of its data quality without any further obligation. Get your first data profiling report during your free trial.
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What does a child with a driving license, a transatlantic flight for less than a dollar, and skyrocketing demand for celtic rock records have in common? They are all outliers. And they probably need your attention.
AI and machine learning are today's buzzwords. Penny Analytics provides an easy pathway for you to add intelligence to your work, whatever the size of your organization. As long as you have datasets that are too large for you to analyze by hand, then we can find the most unusual records for you. At Penny Analytics, we find outliers in your data, whether your data is standard multivariate or time series. If you are a business user with some Excel skills, then this is the user friendly anomaly detection system you have been searching for.
Sample industries: transportation, manufacturing, internet of things
Case study on time series anomaly detection Video on time series anomaly detection
We are devoted to outlier detection and demonstrating its many uses
We use our outlier detection service for public research. You can use our blogposts to understand more about how our service works and how outlier detection can be applied in real life. We have found outliers in handwriting samples, financial transactions, American cities, flower species, demand for taxi trips, and Canadian weather - and are always looking for new research areas. We publish our visualizations to Tableau Public.
In this blogpost, we apply outlier detection to 80 years of daily Canadian weather data. We keep reading that our climate is changing – temperatures are increasing and that extreme weather events are happening more Read more…
Fraud is a problem that is simply not going away. In this post, we apply outlier detection to finding fraudulent credit card transactions, using a well known dataset from Kaggle. We called this post “fraud Read more…
In this post, we visualize the outlier detection results from Penny Analytics using two multivariate datasets. (If instead you are interested in visualizing time series outlier results, please see our earlier blogpost.) Outliers in the Read more…