\u201cMove to RISE and save 20 %,\u201d sales decks promise\u2014but every CFO knows cost curves bite three years in. This guide delivers a transparent Total-Cost-of-Ownership (TCO) calculator<\/strong> that plugs seven variables into a single Python\/Excel sheet and forecasts:<\/p>\n\n\n\n We walk through a real-world manufacturing scenario that showed RISE year-1 OPEX +8 %, year-3 OPEX \u201318 %<\/strong>, beating on-prem break-even at 34 months. Download link at the end.<\/p>\n\n\n\n RISE bundles S\/4HANA Cloud, hosting, Basis, and some BTP services:<\/p>\n\n\n\n markdown<\/p>\n\n\n\n CopyEdit<\/p>\n\n\n\n RISE Subscription Price<\/p>\n\n\n\n = Core S\/4 Cloud licenses<\/p>\n\n\n\n + Infrastructure (IaaS hyperscaler)<\/p>\n\n\n\n + Technical Managed Services<\/p>\n\n\n\n + BTP Entitlements (\u2248 2 700 CPEA credits)<\/p>\n\n\n\n Hidden deltas:<\/strong><\/p>\n\n\n\n Our TCO worksheet makes these deltas explicit.<\/p>\n\n\n\n Why these?<\/strong> markdown<\/p>\n\n\n\n CopyEdit<\/p>\n\n\n\n TCO_year = RISE_subscription(U, CPU, DV)<\/p>\n\n\n\n + CPEA_overage(C)<\/p>\n\n\n\n + Partner_cleanup(Z, L)<\/p>\n\n\n\n + CR_ticket_premium(CR)<\/p>\n\n\n\n \u2013 On-prem_decom_savings(Z) Download<\/strong> \u2192 BTP_TCO_Calculator.xlsx & tco_model.py<\/p>\n\n\n\n python<\/p>\n\n\n\n CopyEdit<\/p>\n\n\n\n import pandas as pd<\/p>\n\n\n\n from math import ceil<\/p>\n\n\n\n def rise_subscription(u, cpu, dv):<\/p>\n\n\n\n user_cost = 1100 * u # USD\/yr\/FUE est.<\/p>\n\n\n\n infra_cost = 75 * cpu # hyperscaler markup<\/p>\n\n\n\n storage_cost= 150 * dv * 12 # $\/TB\/mo<\/p>\n\n\n\n return user_cost + infra_cost + storage_cost<\/p>\n\n\n\n def cpea_overage(c_pct):<\/p>\n\n\n\n credit_val = 0.21 # $ per credit<\/p>\n\n\n\n over = max(c_pct, 0) * 2700<\/p>\n\n\n\n return over * credit_val<\/p>\n\n\n\n def partner_cleanup(z_mloc, rate):<\/p>\n\n\n\n hours = 18 * z_mloc * 1000 # 18 h per K LOC<\/p>\n\n\n\n return hours * rate<\/p>\n\n\n\n def cr_ticket(cr):<\/p>\n\n\n\n premium = 35 # $ per CR vs. self-service<\/p>\n\n\n\n return cr * 12 * premium<\/p>\n\n\n\n def decom_saving(cpu):<\/p>\n\n\n\n return 100 * cpu<\/p>\n\n\n\n def tco(years=3, **kw):<\/p>\n\n\n\n rows=[]<\/p>\n\n\n\n for y in range(1, years+1):<\/p>\n\n\n\n rows.append({<\/p>\n\n\n\n ‘year’: y,<\/p>\n\n\n\n ‘subscription’: rise_subscription(**kw),<\/p>\n\n\n\n ‘overage’: cpea_overage(kw[“c_pct”]),<\/p>\n\n\n\n ‘partner’: partner_cleanup(kw[“z_mloc”], kw[“rate”]) if y==1 else 0,<\/p>\n\n\n\n ‘cr’: cr_ticket(kw[“cr”]),<\/p>\n\n\n\n ‘saving’: decom_saving(kw[“cpu”]),<\/p>\n\n\n\n })<\/p>\n\n\n\n df=pd.DataFrame(rows)<\/p>\n\n\n\n df[‘total’]=df.sum(axis=1,numeric_only=True)<\/p>\n\n\n\n return df<\/p>\n\n\n\n ace_tools.display_dataframe_to_user is used in the Draft Excel; finance team can tweak sliders.<\/p>\n\n\n\n Industrial OEM<\/em> inputs:<\/p>\n\n\n\n ini<\/p>\n\n\n\n CopyEdit<\/p>\n\n\n\n U = 450<\/p>\n\n\n\n CPU = 320<\/p>\n\n\n\n DV = 14 TB<\/p>\n\n\n\n C = +35 %<\/p>\n\n\n\n Z = 0.6 M LOC<\/p>\n\n\n\n CR = 45 \/ mo<\/p>\n\n\n\n L = $65<\/p>\n\n\n\n Output TCO (USD):<\/p>\n\n\n\n On-prem OPEX baseline $1.25 M\/yr. (Describe embedded chart)<\/em><\/p>\n\n\n\n Observations:<\/p>\n\n\n\n Implementing #1, #3, #5 together moved Year-1 TCO of OEM case from $1.73 M \u2192 $1.42 M<\/strong>\u2014break-even Month 27.<\/p>\n\n\n\n TL;DR (\u2248 95 words) \u201cMove to RISE and save 20 %,\u201d sales decks promise\u2014but every CFO knows cost curves bite three years in. This guide delivers a transparent Total-Cost-of-Ownership (TCO) calculator that plugs seven variables into a single Python\/Excel sheet and forecasts: We walk through a real-world manufacturing scenario that showed RISE year-1 OPEX +8 […]<\/p>\n","protected":false},"author":1,"featured_media":20,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"class_list":["post-90","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sap-modernization"],"_links":{"self":[{"href":"https:\/\/steadyrabbit.in\/blogs\/wp-json\/wp\/v2\/posts\/90","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/steadyrabbit.in\/blogs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/steadyrabbit.in\/blogs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/steadyrabbit.in\/blogs\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/steadyrabbit.in\/blogs\/wp-json\/wp\/v2\/comments?post=90"}],"version-history":[{"count":1,"href":"https:\/\/steadyrabbit.in\/blogs\/wp-json\/wp\/v2\/posts\/90\/revisions"}],"predecessor-version":[{"id":91,"href":"https:\/\/steadyrabbit.in\/blogs\/wp-json\/wp\/v2\/posts\/90\/revisions\/91"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/steadyrabbit.in\/blogs\/wp-json\/wp\/v2\/media\/20"}],"wp:attachment":[{"href":"https:\/\/steadyrabbit.in\/blogs\/wp-json\/wp\/v2\/media?parent=90"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/steadyrabbit.in\/blogs\/wp-json\/wp\/v2\/categories?post=90"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/steadyrabbit.in\/blogs\/wp-json\/wp\/v2\/tags?post=90"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
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Variable<\/strong><\/td> Symbol<\/strong><\/td> Description<\/strong><\/td> Default<\/strong><\/td><\/tr> Users<\/strong><\/td> U<\/td> Named business users \/ FUEs<\/td> 450<\/td><\/tr> CPU Footprint<\/strong><\/td> CPU<\/td> Sum vCPUs in ECC Prod<\/td> 320<\/td><\/tr> Data Volume<\/strong><\/td> DV<\/td> Total DB + app storage (TB)<\/td> 14<\/td><\/tr> CPEA Consumption \u0394<\/strong><\/td> C<\/td> % credits over 2 700 baseline<\/td> 35 %<\/td><\/tr> Custom Code Lines<\/strong><\/td> Z<\/td> Millions of Z-LOC after cleanup<\/td> 0.6<\/td><\/tr> CR Velocity<\/strong><\/td> CR<\/td> Change requests \/ month<\/td> 45<\/td><\/tr> Labor Rate<\/strong><\/td> L<\/td> Partner blended rate (USD\/h)<\/td> $65<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
<\/strong> Licenses scale by users, infra by CPU\/DV, overage & partner cost by code and velocity.<\/p>\n\n\n\n
\n\n\n\n2.1 Equation in Plain English<\/h5>\n\n\n\n
Decomposition savings<\/em> = power + cooling + HW refresh avoided once DEV\/QAS boxes shut down (~$100 per vCPU\/yr).<\/p>\n\n\n\nPython + Excel Sheet (\u2248 180 words)<\/h4>\n\n\n\n
Case Study Numbers (\u2248 140 words)<\/h4>\n\n\n\n
Year<\/strong><\/td> Subscription<\/strong><\/td> Overage<\/strong><\/td> Partner<\/strong><\/td> CR Prem.<\/strong><\/td> Decom Save<\/strong><\/td> TCO<\/strong><\/td><\/tr> 1<\/td> $843 k<\/td> $199 k<\/td> $702 k<\/td> $19 k<\/td> \u2013$32 k<\/td> $1.73 M<\/strong><\/td><\/tr> 2<\/td> 843 k<\/td> 199 k<\/td> 0<\/td> 19 k<\/td> \u201332 k<\/td> $1.03 M<\/strong><\/td><\/tr> 3<\/td> 843 k<\/td> 199 k<\/td> 0<\/td> 19 k<\/td> \u201332 k<\/td> $1.03 M<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n Break-Even<\/h5>\n\n\n\n
Break-even at Month 34<\/strong>; NPV positive (8 % discount).<\/p>\n\n\n\nSensitivity Heat-Map (\u2248 100 words)<\/h4>\n\n\n\n
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Pitfall<\/strong><\/td> Fix<\/strong><\/td><\/tr> Missing non-production systems in subscription<\/td> RISE includes 3 tiers (DEV, QAS, PROD) by default\u2014confirm if you need Sandbox.<\/td><\/tr> Underestimating CPEA for CAP apps<\/td> Each CAP instance burns ~10 credits\/day\u2014plan stage & prod.<\/td><\/tr> HANA Cloud multi-tenant surprises<\/td> S\/4 dev shares HANA tenant; feature app may hog memory\u2014segregate tenants.<\/td><\/tr> Inflation omission<\/td> Lock 3-yr price in RISE contract; hyperscaler uplift capped.<\/td><\/tr> Retained Basis staff cost<\/td> Budget 6\u20139 mo for re-skilling; include in Year-1.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n Adoption Roadmap (\u2248 90 words)<\/h4>\n\n\n\n
Step<\/strong><\/td> What<\/strong><\/td><\/tr> 1<\/strong><\/td> Plug variables into calculator; validate subscription quote.<\/td><\/tr> 2<\/td> Run sensitivity (credit overage, LOC cleanup).<\/td><\/tr> 3<\/td> Negotiate RISE contract: CR self-service, CAP discount bundles.<\/td><\/tr> 4<\/td> Phase Z-cleanup with ATC automation pre-RISE<\/em>.<\/td><\/tr> 5<\/td> Present 5-yr NPV & break-even to CFO; stage CapEx re-allocation.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n Take-Home Checklist (\u2248 60 words)<\/h4>\n\n\n\n
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