Here are the best practices and insights that will bring your Data to its Best.
Discover Shapelets by Industry
Discover best practices, insights and solutions based on industries.
Patient monitoring and analysis software can help you save lives by providing accurate data on patient health.
Passenger traffic flows and forecasting of air traffic to obtain accurate information.
Energy & utilities
Fraud detection and power demand forecasting for more efficient business.
Sensor analytics and demand forecasting help make precise decisions.
Real-time data analytics and fault detection for innovative technologies.
Risk detection and customer churn prediction for improved customer experience.
Predictive maintenance and customer support to help reduce customer churn rates.
System optimization and predictive maintenance for improved operations.
Ecommerce & Media
Obtain insights into your consumer behaviour, engagement, predict trends, and optimize campaigns.
Discover Shapelets by Use Cases
Build it yourself. Get ready-to-use Shapelets use cases for all your data analytics.
How to detect anomalies for predictive maintenance in industrial equipment
The sensitization of mechanical and industrial processes is gradually increasing. This is mainly due to sensors’ availability and cost reduction, and widespread use of networks.
This provides plant managers with more frequent and more detailed information about the current state of the equipment and the process itself. Hence, it allows a greater degree of control over the quality of an industrial process, its resulting products, and the health of the machine used.
Shapelets’ approach to analyzing data in an accelerated way solves the pain of manufacturing companies dealing with data.
Energy price forecast
The accurate forecasting of energy prices is crucial for the orientation of the energy market and can guide policymakers and market participants, such as businesses and individuals.
In this use case, we will explore how Shapelets accelerated platform can be used to improve price prediction. We will use historical energy price data together with energy generation data to find out how energy consumption and production are related.
Predict your churn with Shapelets
With this use case, we present a toy example of the construction of a simple data analysis solution aimed towards behaviour analysis using Shapelets. In particular, we are interested in the factors that influence the decision of churning in bank customers.
Volcanic Eruption prediction
Can upcoming geological events be predicted?
With this use case, we present a data app about the recent volcanic eruptions occurred in the island of La Palma (Spain). The main challenge solved with this data app is the retrieval of earthquake information from a public data source.
Additionally, a machine learning model stored as a pickle file can be loaded and predictions can be run with it directly from the data app, using the data retrieved from a specific earthquake selected by the user.
Discover Shapelets by Role
Empowering Data Professionals with tailored solutions for every role.
Accelerate your data science projects with the Shapelets platform.
Easy to load, manipulate and analyze data, and build agile Data Apps in a couple of hours. Deploy them seamlessly. You can focus on delivering impactful insights.
Streamline your work with our powerful platform. Easier, faster.
Simplify your data processing, management, and integration so you can focus on building reliable data pipelines. You can easily connect to various data sources and scale your infrastructure on demand.
Transform your data into valuable insights. Intuitive and effective work.
Our user-friendly interface allows you to easily explore data, create data visualisations, and share results with stakeholders. You can quickly uncover hidden patterns and trends.
Drive business value to your clients with data-driven insights.
By using Shapelets, you will get a holistic view of an organization’s data, which allows you to identify opportunities and optimize processes. With our platform, you can confidently make data-driven decisions.