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Streamvupitch.2
- 1. Time stays long enough for anyone who will use it. Leonardo da Vinci www.stream.vu
- 6. ok enough talking, get on with the Prototype Demo www.stream.vu
- 8. Time stays long enough for anyone who will use it. Leonardo da Vinci www.stream.vu
Hinweis der Redaktion
- Founder and lead analyst with stream | vu Today at activity intensive organizations (ports, airports) there is no easy central way for people to track relevant site events as they are happening, particularly when they are away from their desk and working out on site. Information resides in silos.
- We see stream vu being useful to highlight Events such as the failure of critical equipment. Or reminder when a time sensitive purchase is waiting their approval. Or alert when a sensor indicates a deviation in normal operating parameters. Or heads up about an external factor that could impact operations in the near future. Or recent history and list of upcoming work at their current location. Or request from another staff to confirm they have seen a time critical message. Or ability to prioritize their interest on particular site activity.
- Today people rely on email, phone, and the water cooler to spot the critical changes and stay current on these events. All forms of communication that are great for some things. But not for watching the day unfold without the risk of key events getting lost in the information overload.
- With stream | vu managers and supervisors working in these organizations will be able to follow relevant events happening around their site in real-time from their own personalized event or activity streams. Twitter for the enterprise. Where the story is the business activity instead of social conversation. Where the content stream contains key information about events relevant and critical to each particular user. Where the user interacts with their stream to further personalize their stream. So data captured within enterprise data stores about site events is now available in a timely, relevant, and personalized way. All forms of enterprise data - machine generated device data, ERP systems, site alerts - is aggregated, filtered, and pushed to users as events occur
- With stream | vu we believe that people will be better informed. They will know about events as they are occurring. Not at the end of the day when they get back to their desk. Not after month-end when reports are run. And with this near real-time information they will be able to respond. Adapt to changing conditions. Be proactive. in short - Getting the right data to the right people at the right time.