Self-Service Advanced Analytics for Predictive Operations and Process Manufacturing Data
Industrial companies and subject matter experts need to proactively discover and exploit opportunities in their process manufacturing data. These opportunities include increasing their productivity and enhancing cost savings. However,
- Do the organizations and their experts have the right tools to explore these opportunities?
- Do the organizations and their experts have the right tools to understand the quality of their data and the information in it?
- How can their experts process this raw sensor data and convert it to smart sensor data with their valuable domain-knowledge in a scalable way?
- How can companies transition from a PoC ML application with smart data to an industrial AI solution?
Bridge the gap between data, people and insights
MultiViz by Viking Analytics is a self-service analytics software for the heavy industrial companies that puts the power of data into the hands of those who understand what it means: the subject-matter experts. MultiViz enables condition monitoring, reliability experts and process experts to rapidly visualize sensor data from assets and processes. It enables the experts to prepare, analyze and process sensor data without being a data scientist. Specifically, MultiViz enables the following:
Connect: MultiViz connects with all industrial databases. Sensor tags of interest can be immediately retrieved from all databases. All the data can be merged, synchronized, and visualized.
Clean: With built-in templates for data preparation and cleansing, experts can head start their analysis directly.
Discover: Discover what is important in the data. Discover interesting events, abnormal patterns and much more and ﬁnd why they happened.
Diagnose: MultiViz is designed not only to give an overview of the events but also to help deeply understand why they happened. Our unique sensor ranking algorithm tells which sensors contributed the most to the events.
Fingerprint: Create data-driven signatures for relevant events and search for similar events in the data.
Detect: Identify operational modes, failure modes and other abnormal operational modes. Detect abnormal modes and mode changes with ease.
Predict: Predict asset and process health based on the modes identified, events discovered and other expert annotations
Contextualize: Experts can build a holistic context around the diﬀerent events that you discover. Combine the events’ summaries, sensor ranking lists, expert annotations and the sensor data plots in order to understand the data and contexts much better and faster.
Capture: MultiViz’s proactive approach makes core knowledge available to the future generations of employees and to the organization. A health history of the assets and processes can be created, stored and shared for collaborative analysis and decision making.
Collaborate: Share experts’ insights with the other experts in the organization for joint-analysis and troubleshooting. Collaborate with data-scientists to build ML applications with expert knowledge.
Operationalize: Operationalize experts’ insights as real-time ML applications including smart alarms, anomaly detection, predictive maintenance, optimization.
Scale-up: With MultiViz, go from an ML based PoC to a scaled-up industrial AI solution in a matter of months.
In summary, MultiViz has been designed to help organizations to accelerate their digitalization efforts and alleviate risks in their implementation. Organizations can rely on data-driven methodologies for actionable insights and to deliver organization-wide value. With MultiViz, companies and their experts are empowered to find opportunities in their data for performance enhancement and cost savings. Available on user PC (offline), on-cloud or on-premises (online).