VIMANA #1 in Industrial Data Transformation
We understand industrial assets, processes, and the data they generate. We have authored industrial data standards to enable interoperability between disparate data sources and scale. We lead the data discovery journey to identify the right data elements needed to answer stakeholder questions today and enable future predictions. We bring intelligence and automation in combining data elements to deliver meaningful insights. You can rely on us to build a more reliable and robust data foundation quickly and efficiently to power your most advanced analytics.
IoT Data that Fuels Business Outcomes
Enhance Data Quality
Data cleansing made simple. Deliver consistent, high quality data. Enrich raw data for meaningful and trusted insights.
Reduce Time To Insights
Accelerate the process of getting data ready. Reduce data preparation resources. Improve data analyst productivity.
Simplify IoT Data Transformation
Solve your problems with data. Manage highly distributed and massive volumes of diverse data. future-ready architecture.
Get Return On Your Data
Access a large quantity of relevant data types, aligned to your business to deepen insights and make better decisions.
“VIMANA built a robust real-time data foundation, collecting data from machines and systems, and making it available to our data lake for downstream analytics. We didn’t need to hire data scientists, and we dramatically reduced the time to prepare the data,”
A Global Tier 1 Automotive Company
VIMANA's Data Transformation Capabilities
VIMANA Data Transformation prepares, normalizes, and contextualizes manufacturing and enterprise data leveraging open standards, a robust rules engine, and machine learning to build a data foundation for consumption by next-generation analytics.
Standards-based data collection from a wide variety of sources and attributes to solve industrial business problems. Integrating with enterprise systems for insight into the complex enterprise ecosystem.
Builds a consistent, holistic view using standardized semantic asset models with a common set of terms, units, and vocabulary. Leverages industrial domain-driven ontologies to model assets, processes, and businesses enabling automated reasoning and analytics.
Filters out unnecessary noise from raw data, and inconsistent and corrupt data, improving the data quality.
Uses the enrich rules engine and applies proprietary domain-driven ML and AI algorithms for multi-dimensional contextualization and aggregation of event streams for an understanding of the true state of industrial assets, people, processes, and products.
Enables analytics-ready data stores with other storage solutions, data lakes for integration with enterprise systems, BI tools, and other downstream analytics.
Enables real-time visualizations, metrics, historical reporting, anomaly detection, alerts, digital twin, machine learning, predictive and prescriptive insights.
The VIMANA Difference
Expertise in industrial products, processes and systems enable the discovery, data preparation, and enrichment of relevant and more valuable data.
As authors of industrial data standards, VIMANA brings experience in capturing data from a variety of data sources, converting raw data into a usable format.
VIMANA brings intelligent automation to data transformation powered by highly scalable Lambda architecture for stream processing, ML, and AI.
VIMANA’s data foundation integrates with and publishes to data lake enablement platforms, data management tools, VIMANA’s platform, and other analytics applications.