BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH PRODID:-//Telerik Inc.//Sitefinity CMS 12.2//EN BEGIN:VTIMEZONE TZID:Eastern Standard Time BEGIN:STANDARD DTSTART:20231102T020000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYHOUR=2;BYMINUTE=0;BYMONTH=11 TZNAME:Eastern Standard Time TZOFFSETFROM:-0400 TZOFFSETTO:-0500 END:STANDARD BEGIN:DAYLIGHT DTSTART:20230301T020000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYHOUR=2;BYMINUTE=0;BYMONTH=3 TZNAME:Eastern Daylight Time TZOFFSETFROM:-0500 TZOFFSETTO:-0400 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT DESCRIPTION:Financial professionals are frequently tasked with creating eff ective models that are accurate and dynamic. Top-Line modeling or revenue modeling brings a specific set of challenges. The power of an effective re venue model comes from the ability to account for volatility and variable inputs. This course introduces the key techniques and best practices for b uilding revenue specific financial models that account for seasonality and uncertainty. Through hands-on examples in Excel\, participants build from scratch financial models that produce baseline and dynamic outputs in res ponse to changes in real-world scenarios. Examples and illustrations utili ze financial and treasury applications. DTEND;TZID=Eastern Standard Time:20181018T120000 DTSTAMP:20240328T171837Z DTSTART;TZID=Eastern Standard Time:20181018T100000 LOCATION: RRULE:FREQ=WEEKLY;COUNT=2;BYDAY=TH SEQUENCE:0 SUMMARY:Top Line Modeling UID:RFCALITEM638472251173620580 X-ALT-DESC;FMTTYPE=text/html:
Financial professionals are frequently task ed with creating effective models that are accurate and dynamic. Top-Line modeling or revenue modeling brings a specific set of challenges. The powe r of an effective revenue model comes from the ability to account for vola tility and variable inputs. This course introduces the key techniques and best practices for building revenue specific financial models that account for seasonality and uncertainty. Through hands-on examples in Excel\, par ticipants build from scratch financial models that produce baseline and dy namic outputs in response to changes in real-world scenarios. Examples and illustrations utilize financial and treasury applications.
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