Overview

Site activity generates huge volumes of potentially useful information; from the many communication channels where site conversations are happening to IIoT sensors and the inter-dependence on external conditions.

Unfortunately most of this data remains out of reach when it is needed the most. Data that if available could drive more timely and informed decisions, and proactive response to improve operational efficiency and reduce the risk of critical events impacting your business.

Today decision makers rely on email, phone calls, and hallway conversations to stay current. But the story quickly changes. Indicators of potential problems are not visible. Opportunities for early intervention are lost.

The stream|vu team is looking to help solve this problem with an intelligent, integrated, and personalized real-time analytics solution that will streamline site-wide operational awareness and enable a data informed response to critical events.

Features

Data Aggregation

stream|vu will support data connections from across and beyond to the enterprise: industrial, IIoT, enterprise, external data sources to form a unified time series data stream. detect new events and patterns within these events as they occur.

Intelligent Event Filtering

stream|vu will filter these identified events into streams that are relevant and specific to each user based on their operational role and personal settings; including event type, priority, and work context.

Interactive Event Streams

stream|vu will push out stream updates to each user in real-time on their mobile device or desktop. Through stream|vu users will at a glance be able to focus on events that are relevant and critical to their work.

Get in Touch

Let’s connect if you find email, month-end pre-canned reports, dashboard snapshots, or the water cooler as useful for many things but not the most reliable or timely way of keeping informed.

Technology

IBM Maximo

Stream|vu is being architected using scalable secure analytics technology to enable real-time streaming and analytics on data being emitted across industrial sites.

Our first release will focus on surfacing critical events captured by companies who use IBM Maximo as their common enterprise asset management solution.  Stream|vu will be pre-configured to identify the common events and patterns of site activity relevant to site supervisors and managers.

The stream|vu event monitoring and operational analytics engine will be extendable to include company specific activity and metrics that can be surfaced through intelligent gathering and analysis of data residing across enterprise data stores.