(two answers) For GreenLake proposal validation, which TWO artifacts convince Finance?

When seeking approval from a Finance department for an HPE GreenLake proposal, the most convincing artifacts are those that address financial predictability, risk, and cost accountability. A metering-to-chargeback mapping directly demonstrates how IT costs will be allocated to business units based on actual consumption, providing clear financial accountability. A sensitivity analysis models the financial impact of varying demand scenarios (e.g., ±10%, ±20%), which allows Finance to understand the potential range of costs, assess financial risk, and budget more effectively for a consumption-based service.

C. Rack elevation diagrams only: This is a technical artifact for data center physical planning and is irrelevant to the financial validation of the proposal.

D. Cable label matrix: This is a granular operational document for IT installation and has no bearing on the financial business case presented to Finance.

1. HPE White Paper: "Building the Business Case for HPE GreenLake"

Reference for A: Page 4, Section "Aligning costs to business value". The document states, "With HPE GreenLake, you can easily implement a showback/chargeback model to the business units, so they can see what they are consuming and be accountable for their usage." This directly supports the value of a chargeback mapping artifact for financial stakeholders.

Reference for B: Page 5, Section "Financial modeling". The paper advises creating a financial model that compares the current state to the proposed HPE GreenLake solution, including modeling "different scenarios" to understand the full financial impact. This validates the use of sensitivity analysis.

Document ID: a50002537enw (Published May 2022).

2. Forrester Consulting: "The Total Economic Impact™ Of HPE GreenLake"

Reference for A & B: Page 10, Section "Flexibility". The analysis highlights the value of adapting capacity to changing business demand, avoiding overprovisioning costs. The financial justification for this flexibility inherently relies on modeling different demand scenarios (sensitivity analysis) and tying costs to actual usage (the foundation of chargeback).

Commissioned by HPE, Published June 2020. Accessible via hpe.com.