IoT data analytics
Augment Internet of Things (IoT) data streams and applications with realtime, interactive, highly scalable IoT data analytics for actionable visualizations, reports and dashboards
IoT data analytics offers actionable insights to operating technology data, breaking down and analyzing the IoT data and finding its value. With integration services and analytics tools, organizations are able to use the vast amount of data gathered from IoT endpoints and platforms to implement new business models and attain efficiencies.
OpenText™ Actionable Insights for IoT combines open source machine learning with advanced analytics to acquire, merge, manage and analyze IoT data.
OpenText Actionable Insights for IoT overview
Actionable Insights combines an identity-centric approach to securing, integrating and orchestrating data with world-class advanced and predictive analytics capabilities. Delivered as a managed service, the holistic Actionable Insights solution provides users the insights they need to make better business decisions based on their IoT data.
OpenText Actionable Insights for IoT features
User-friendly reports and dashboards
Transforms and orchestrates structured and unstructured data into actionable insights with relevant, role-based graphics and visualizations to easily identify and interpret information trends.
Exports and integrates disparate IoT data to create personalized analytic dashboards and interactive visualizations within enterprise applications, workflow and processes for maximum impact.
Leverages a full range of easy to use self-service capabilities. Users can choose from built-in functions that emphasize simplicity and ease of use or sophisticated, powerful reporting with the ability to add new data sources on the fly.
Actionable Insights for IoT benefits
Make better, more timely decisions with easy-to-understand, interactive dashboards, reports and visualizations of operational data.
Streamline processes and improve business performance by monitoring key metrics in realtime. Identify variances, issues and opportunities with alerts and take action on insights.
Leverage machine learning from past patterns and events to anticipate potential failures or issues to mitigate and manage risk and cost.
Secure analytics at scale
Use advanced, out-of-the-box identity and access management functionality for rapid project go live and ensure that analytics results are securely accessed by relevant stakeholders.