BEGIN:VCALENDAR PRODID:-//Microsoft Corporation//Outlook 16.0 MIMEDIR//EN VERSION:2.0 METHOD:PUBLISH X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VTIMEZONE TZID:GMT Standard Time BEGIN:STANDARD DTSTART:16011028T020000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZOFFSETFROM:+0100 TZOFFSETTO:-0000 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010325T010000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZOFFSETFROM:-0000 TZOFFSETTO:+0100 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CATEGORIES:Stage 3 CLASS:PUBLIC CREATED:20230502T105359Z DESCRIPTION:From Data to Insight: Using Self-Service Analytics to Extract V alue from Time-Series Plant Data\nhttps://www.chemicalukexpo.com/speakers/ darren-steele/\n \nSpeaker\nDarren Steele\, Technical Advisor - IT Vizion\ , Inc.\n \nTime & Location\nThursday: 11.00 to 11.15\, Stage 3\n \nAbout t his presentation\nPlant data is abundant and is generated at different vel ocities from a variety of data sources. Engineers\, operators and subject matter experts are often equipped with legacy software and back-office too ls that were not designed to handle large volumes of real-time data. From data cleansing to forecasting and modelling\, effective analytics is requi red to extract insights from data and provide decision support to the work force. However\, time-to-learn is scarce and not all line-of-business prof essionals can also be data scientists or programmers. Therefore\, a no-cod e\, purpose built\, self-service analytics environment is required to enab le the work-force to perform vital plant data analytics. This presentatio n introduces the self-service analytics platform from Seeq Corporation and includes real-world examples of value creation from analytics driven deci sion support.\n \n DTEND;TZID="GMT Standard Time":20230511T111500 DTSTAMP:20230502T105359Z DTSTART;TZID="GMT Standard Time":20230511T110000 LAST-MODIFIED:20230502T105359Z LOCATION:Stage 3 PRIORITY:5 SEQUENCE:0 SUMMARY;LANGUAGE=en-gb:From Data to Insight: Using Self-Service Analytics t o Extract Value from Time-Series Plant Data (IT Vizion\, Inc) TRANSP:OPAQUE UID:040000008200E00074C5B7101A82E0080000000030BA3F3ADA7CD901000000000000000 010000000235363C69870074A9283F782127E00AB X-ALT-DESC;FMTTYPE=text/html:
From Data t
o Insight: Using Self-Service Analytics to Extract Value from Time-Series
Plant Data
https://www.chemicalukexpo.com/spea
kers/darren-steele/
Speaker
Da
rren Steele\, Technical Advisor - IT Vizion\, Inc.
Time &\; Location
Thursday: 11.00 to 11.15\, Stage 3
A
bout this presentation
Plant data is abun
dant and is generated at different velocities from a variety of data sourc
es. Engineers\, operators and subject matter expe
rts are often equipped with legacy software and back-office tools that wer
e not designed to handle large volumes of real-time data. From data cleans
ing to forecasting and modelling\, effective analytics is required to extr
act insights from data and provide decision support to the workforce. Howe
ver\, time-to-learn is scarce and not all line-of-business professionals c
an also be data scientists or programmers. Therefore\, a no-code\, purpose
built\, self-service analytics environment is required to enable the