End results of the workshop => $s required to integrate with and remediate for Workday.
Conclusions and ToDos:
We agreed on the definition of done and the steps to be done for all integration work, came up with ideas for a prototype, heard about constraints of Workday, refined scope, identified more concerns, reinforced the need for multiple subprojects, and left the meeting with one area well estimated by Cornell, many todos for Workday, and no overall technical cost. We did not come up with a single complete estimate for integration and remediation of systems for the implementation of Workday. In all we engaged the 25 people through the 3 day non-stop workshop. They included:
- Identity Management: Steve Edgar, Kesav Santi, Joy, Pete
- CIT BI Team: Dave and Chris
- CIT KFS team: Bryan
- Budget Office Karen and Rose
- CIT Applications PeopleSoft: Dennis and Sameer
- CIT Kronos : Lynn
- Payroll Office: Bob, Michele, Kim
- HR: Lyman, Laurie, Seth
- Workday: Alexandra, Kalan
- CIT Applications leads: Vicky (Kronos, PeopleSoft) , Phil (Integrations), Sarah (KIM, Security), SteveL, Bryan (KFS)
- CIO PPM: Graham Hall
The PeopleSoft integration and remediation was done in detail and concluded decisively during the workshop. All other estimates were left as ToDos.
WORKDAY'S To Dos*
Note: The ETA on ETA of estimates on Monday 10/10.
Workday will be providing left side and right side integration estimates for the following:
- Kronos (and remediation)
- KFS
- ELM
- windstar
- taleo
- APDB (to match exactly the current ADABAS ready files so there is no transformation work to do by Cornell)
- United way (and/or advice to a system to migrate to)
- Traffic
- Statler - tips
- the set of existing web service calls listed on the integration sheet
- the set of data extractions that will match the current HR/Payroll extracts for HR/Payroll Dm at Cornell. Refer to the Datamart list of PS tables.
Cornell's To Dos:
- Id Mgt integration and remediation
- 2 BI Discovery projects
Other action items included:
- BI Team: Supply to WD the sql and tables that is used for these extractions.