Events

Utility Asset Analytics: Drive Better Outcomes Today and Tomorrow

Webcasts
May 2, 2019 | 1:00 PM1:56 PM CDT
Online
Included with membership

In today’s dig­i­tal world, util­i­ties have evolved from sim­ple time- and uti­liza­tion-based main­te­nance to more advanced asset ana­lyt­ics. Data from many non­tra­di­tion­al sources is being used to opti­mize main­te­nance cycles on cer­tain asset types. The experts from Ute­gra­tion have their fin­gers on the pulse of what’s work­ing in many util­i­ties today for advanced asset ana­lyt­ics. Hear their insights and learn about the future of pre­dic­tive ana­lyt­ics, which will empow­er util­i­ties to repair, replace, and/​or run with con­fi­dence in the out­comes and impli­ca­tions of their decisions.

Join this web­cast to learn how you can:

  • Opti­mize asset life­cy­cles by evolv­ing from tra­di­tion­al main­te­nance triggers.
  • Build advanced asset ana­lyt­ics lever­ag­ing data that you may already have.
  • Dig­i­tal­ly enable pre­dic­tive ana­lyt­ics across your fleet of asset types.

To learn more about SAP solu­tions for the util­i­ties indus­try, join the annu­al SAP for Util­i­ties con­fer­ence on Octo­ber 21 – 23, 2019 in San Diego, California. 

To learn more about SAP solu­tions for enter­prise asset man­age­ment, join the SAP-Cen­tric EAM con­fer­ence on March 16 – 18, 2020 in San Anto­nio, Texas.

 

Time­stamps

  • 1:00 – Speak­er introduction
  • 2:30 – Agen­da overview
  • 4:00 – Intel­li­gent tech­nolo­gies enabling dig­i­tal asset management
  • 8:55 – Pre­ven­tive, to pre­dic­tive, to pre­scrip­tive maintenance
  • 13:45 – Asset health distribution
  • 15:20 – Inte­grat­ed, dig­i­tal asset man­age­ment solu­tion quan­ti­ta­tive benefits
  • 17:40 – Next gen­er­a­tion of asset management
  • 19:40 – SAP Portfolio
  • 23:20 – SAP Con­nect­ed assets & asset man­age­ment solution
  • 25:25 – SAP Leonar­do vs. SAP S/4 Core
  • 26:30 – SAP Pre­dic­tive Main­te­nance & Ser­vices (PdMS)
  • 31:40 – SAP PdMS – Fiori launch, map­ping, oil qual­i­ty analy­sis, and time series graph
  • 40:20 – Summary
  • 43:00 – Q&A