Powerful analytics and decision-making at the scale of the Internet of Things
Drive instant insights and value from all the data that IoT devices generate. Managing data from IoT devices is an important aspect of a real-time analytics journey. To make sure Lyftrondata handles IoT data demands, the modern solutions is pumped with the desired power, scalability, and intelligence.
Use a modern solution and technology to process IoT data
With all the data generated from connected devices, sensors, and IoT ecosystems, it is more important than ever to study this data in real-time, learn how these assets are performing, and provide valuable insights for critical decision making. An agile-based robust framework of Lyftrondata, and scalable architecture of next-gen data warehouses, allows for the transformation of structured and semi-structured IoT data and accelerates machine learning.
Without impacting the IoT sources, you could load data to multiple destinations, connect them to numerous BI tools and prepare analytics reports within a few minutes. Lyftrondata makes it possible to handle the volume, diversity, and streaming nature of IoT data, enabling enterprises with real-time analytics and machine learning. Lyftrondata’s smart data architecture processes machine and sensor data in no time and helps you predict key outcomes, thus ensuring you’re always ahead of the curve. Work with the chosen web service platform and manage large data volume at an unprecedented low cost and effort.ata
Eliminate the complexity with Lyftrondata's simplicity
Making the best of data generated from IoT devices and machine learning
Predicting the behavior of IoT devices is of utmost importance in order to plan their maintenance and avoid failure. Lyftrondata uses advanced analytic techniques that leverage historical data to uncover real-time insights and predict future events associated with connected devices.
Data management with Lyftrondata allows creating a single view of all IoT data sources and data warehouses. Join disparate data sources in real-time or build federated views and materialize them to avoid data source overloading.
Data Management Made Easy
Lyftrondata’s enterprise-grade data virtualization helps to simplify the data management process through a centralized secured layer and empower users to search, catalog, and govern the unified data.
Logical Data Layer
Lyftrondata acts as a data layer for analytics that combines traditional data loading with logical data warehousing to improve collaboration and deliver data-driven results needed to handle today's IoT and machine learning data volumes.
Big Data Processing and Machine Learning
Modern integration with Lyftrondata enables rapid, real-time ingestion of high-volume data from varied IoT sources, and helps to deliver real-time actionable insights. You enjoy full access to every data set from every source.
Real-time Actionable Insights
Data consumers access the real-time information of a huge volume of IoT data coming from any source, at any time, and get a holistic view of their enterprise for critical decision making.
Embrace data innovation with data monetization
Simply convert your data into a monetization revenue system by enabling your customers, employees, suppliers, providers, and consumers to utilize a secure agile platform for their data transfer. Gone are the days when enterprises shared the data by writing custom API, use FTP process and email for data exchange. Lyftrondata gives any organization the ability to securely share data, and receive shared data, while eliminating the cost and headache of traditional data sharing methods. You can create your own data hub with secure access to live and governed data. You control who provides the data, who can view the data, and who can access the data.
Lyftrondata provides better security and governance of your data to enable enterprises to share with ease. Lyftrondata Sharing Hub acts as an enterprise data security layer where enterprises can control how they want to share their data. Lyftrondata provides an easy and secure way for organizations to become data providers, and therefore, monetize their data to create new revenue streams. In addition, every Lyftrondata customer has access to the Lyftrondata Data Providers, where they can acquire third-party data, combine it with their own data, and gain a level of insight not possible before. Just imagine if all the barriers to sharing and monetizing data disappeared. What new insights and opportunities would emerge that would transform your organization?
Other use cases
Resources for data driven enterprises
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