ENDE

The S&P 500 D.O.P.E list

The biggest winners of Decision Optimization

Still wondering what your company or your competitors lose by making management decisions the outdated way? Explore how much companies are about to gain by optimizing their management decisions every single year with our Decision Optimization Potential Estimates (D.O.P.E) for the 500 largest US stocks.

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10
out of
100
items
Company
losses*
opportunity**
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
213398
days per year
Productivity losses*
104
$  M
Value at risk*
788
$  M
Avg. failure risk*
58
%
FTEs unblocked**
78957
days  per year
Producitivity gains**
38
$  M
Risk reduction**
284
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Real Estate
FTE days lost*
15579
days per year
Productivity losses*
8
$  M
Value at risk*
879
$  M
Avg. failure risk*
58
%
FTEs unblocked**
5764
days  per year
Producitivity gains**
3
$  M
Risk reduction**
316
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
114441
days per year
Productivity losses*
56
$  M
Value at risk*
826
$  M
Avg. failure risk*
58
%
FTEs unblocked**
42343
days  per year
Producitivity gains**
21
$  M
Risk reduction**
297
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Financial Services
FTE days lost*
87814
days per year
Productivity losses*
43
$  M
Value at risk*
838
$  M
Avg. failure risk*
58
%
FTEs unblocked**
32491
days  per year
Producitivity gains**
16
$  M
Risk reduction**
302
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
264387
days per year
Productivity losses*
129
$  M
Value at risk*
749
$  M
Avg. failure risk*
58
%
FTEs unblocked**
97823
days  per year
Producitivity gains**
48
$  M
Risk reduction**
270
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
491004
days per year
Productivity losses*
239
$  M
Value at risk*
635
$  M
Avg. failure risk*
58
%
FTEs unblocked**
181671
days  per year
Producitivity gains**
88
$  M
Risk reduction**
229
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
885697
days per year
Productivity losses*
431
$  M
Value at risk*
437
$  M
Avg. failure risk*
58
%
FTEs unblocked**
327707
days  per year
Producitivity gains**
159
$  M
Risk reduction**
157
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
95745
days per year
Productivity losses*
47
$  M
Value at risk*
832
$  M
Avg. failure risk*
58
%
FTEs unblocked**
35425
days  per year
Producitivity gains**
17
$  M
Risk reduction**
300
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Utilities
FTE days lost*
29545
days per year
Productivity losses*
14
$  M
Value at risk*
861
$  M
Avg. failure risk*
58
%
FTEs unblocked**
10931
days  per year
Producitivity gains**
5
$  M
Risk reduction**
310
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
51933
days per year
Productivity losses*
25
$  M
Value at risk*
846
$  M
Avg. failure risk*
58
%
FTEs unblocked**
19215
days  per year
Producitivity gains**
9
$  M
Risk reduction**
305
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
491004
days per year
Productivity losses*
239
$  M
Value at risk*
626
$  M
Avg. failure risk*
58
%
FTEs unblocked**
181671
days  per year
Producitivity gains**
88
$  M
Risk reduction**
226
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Financial Services
FTE days lost*
181530
days per year
Productivity losses*
88
$  M
Value at risk*
767
$  M
Avg. failure risk*
58
%
FTEs unblocked**
67166
days  per year
Producitivity gains**
33
$  M
Risk reduction**
276
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
953682
days per year
Productivity losses*
464
$  M
Value at risk*
379
$  M
Avg. failure risk*
58
%
FTEs unblocked**
352862
days  per year
Producitivity gains**
172
$  M
Risk reduction**
137
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
129360
days per year
Productivity losses*
63
$  M
Value at risk*
789
$  M
Avg. failure risk*
58
%
FTEs unblocked**
47863
days  per year
Producitivity gains**
23
$  M
Risk reduction**
284
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Consumer Cyclical
FTE days lost*
1501341
days per year
Productivity losses*
730
$  M
Value at risk*
90
$  M
Avg. failure risk*
58
%
FTEs unblocked**
555496
days  per year
Producitivity gains**
270
$  M
Risk reduction**
32
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
790328
days per year
Productivity losses*
384
$  M
Value at risk*
440
$  M
Avg. failure risk*
58
%
FTEs unblocked**
292421
days  per year
Producitivity gains**
142
$  M
Risk reduction**
158
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
497614
days per year
Productivity losses*
242
$  M
Value at risk*
585
$  M
Avg. failure risk*
58
%
FTEs unblocked**
184117
days  per year
Producitivity gains**
90
$  M
Risk reduction**
210
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Consumer Defensive
FTE days lost*
52877
days per year
Productivity losses*
26
$  M
Value at risk*
799
$  M
Avg. failure risk*
58
%
FTEs unblocked**
19564
days  per year
Producitivity gains**
10
$  M
Risk reduction**
288
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
358811
days per year
Productivity losses*
175
$  M
Value at risk*
641
$  M
Avg. failure risk*
58
%
FTEs unblocked**
132760
days  per year
Producitivity gains**
65
$  M
Risk reduction**
231
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
859258
days per year
Productivity losses*
418
$  M
Value at risk*
390
$  M
Avg. failure risk*
58
%
FTEs unblocked**
317925
days  per year
Producitivity gains**
155
$  M
Risk reduction**
140
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Real Estate
FTE days lost*
17317
days per year
Productivity losses*
8
$  M
Value at risk*
807
$  M
Avg. failure risk*
58
%
FTEs unblocked**
6407
days  per year
Producitivity gains**
3
$  M
Risk reduction**
290
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
415654
days per year
Productivity losses*
202
$  M
Value at risk*
605
$  M
Avg. failure risk*
58
%
FTEs unblocked**
153792
days  per year
Producitivity gains**
75
$  M
Risk reduction**
218
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
462677
days per year
Productivity losses*
225
$  M
Value at risk*
581
$  M
Avg. failure risk*
58
%
FTEs unblocked**
171190
days  per year
Producitivity gains**
83
$  M
Risk reduction**
209
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
443792
days per year
Productivity losses*
216
$  M
Value at risk*
586
$  M
Avg. failure risk*
58
%
FTEs unblocked**
164203
days  per year
Producitivity gains**
80
$  M
Risk reduction**
211
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Real Estate
FTE days lost*
47212
days per year
Productivity losses*
23
$  M
Value at risk*
780
$  M
Avg. failure risk*
58
%
FTEs unblocked**
17468
days  per year
Producitivity gains**
9
$  M
Risk reduction**
281
$  M
Avg. risk reduction**
36
%
Heading
* LOSS ASSUMPTIONS: Based on a VaR (Value at Risk) of 34% (R&D) to business transformation (70%) and 82% (M&A) averaged to 58% (Dellermann 2020, McKinsey 2018). All calculations are based on R&D investments, CapEx and acquisition investments. The average company employs around 20% managers who spend 37 percent of their time making decisions, of which 58 percent are inefficient; each manager works for 220 days, (1760 working hours), and receives an average salary of €107k (McKinsey 2019). All data from publicly available annual reports 2022.
** OPPORTUNITY ASSUMPTIONS: Based on a risk reduction potential of 36% and an efficiency improvement potential of 37% (Dellermann 2020).
course roadmap

Four sessions to next-level decision making

part 1
01

Problem framing

We’ll help you to discover the most critical decisions for optimization to define the scope of your journey to outperforming decision-making.

Decision audit
2 hours
part 2
02

Use cases scoping

Our decision specialists help you optimize your decision-making process, define the required insights, data, AI services and tasks, and create a custom decision template dedicated to your needs.

Decision engineering
2 hours
part
03

Decision engineering

We deliver your fully customised dedicated instance of DeOS, onboard your team and data and guide your team to let you experience the full power of decision optimisation in action and create your success story.

DeOS pilot
2 hours
Kick-off &
-project scope
Validated
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Go Live &
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Decision optimzation system

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DeOS decision templates standardize everything from data to actions with best-practice business knowledge built in, so you can get started with a single click.

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Use our enterprise value calculator to work out exactly how much money you are leaving on the table — and how much you could stand to gain by transforming how you make high-stakes decisions with DeOS - the Decision Optimization System.

High-stakes investments (M&A, R&D, business model transformation etc.)
in millions $ / annually
0
200m
Business analysts, strategy consultants and data scientists working for those initiatives
FTE
0
200 Empl.
Average cost per full time employee in this role
in thousands $ / annually
0
200 K / year
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Explore decision-centric services

DeOS decision templates empower business users to apply AI-powered insights to how they make all kind of high-stakes decisions — without having to switch between tools.

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Cloud strategy
Transformation Initiative Priorization
Private Equity Portfolio Allocation
R&D Portfolio Risk Monitoring
Hedge Fund Portfolio Allocation
Infrastructure Investment
Initiative Portfolio Risk Monitoring
Platform Ecosystem
Financial Planning
Enterprise Valuation
Country Index Allocation
Debt Restructuring
Budgeting
Supplier Sourcing
Option Pricing
Component Sourcing Strategy
Venture Capital Investment
Carve out
Working Capital Optimization
R&D Partnership
Deal Structure Optimization
Portfolio Risk monitoring
OEM Partnership
Sell-side advisory
Portfolio Allocation Optimization
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Equity Investment
CapEx Initiative Priorization
R&D Initiative Priorization
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Credit Risk Monitoring
Opportunity Selection
OEM (Customer) Screening
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Spin Off
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Buy Side Advisory
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Divestiture
Make-or-buy - purchasing
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Acquisition Target Screening
Strategic Alliance
Sell-side Avisory Opportunity
Market Index Allocation
Business Unit Risk Monitoring
Secondary Buyout (SBO)
Strategy Selection
Buyer Screening
Market Index Monitoring
Earnings Optimization
Make-or-acquire
Stock Selection
Business Portfolio Optimization
Exit Strategy Evaluation
Stock Investment
Price Target
Enterprise Value Optimization
Initiative Portfolio Performance Monitoring
R&D Portfolio Optimization
Asset Sale
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LBO Financing
Merger
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Risk Monitoring
Investor Sourcing
Market Entry
R&D Investment
Asset Price Optimization
Business Case Valuation
Asset Portfolio Risk Monitoring
Corporate Venture Capital Investment
Technology scouting
Market Risk Monitoring
Internationalization
R&D Portfolio Performance Monitoring
Transformation Portfolio Risk Monitoring
Asset Valuation
Project Financing Structuring
Acquisition
Asset Acquisition
Value Optimization
Private Equity Portfolio Monitoring
IPO Structure Optimization
Partner Screening
Bid Strategy Optimization
Investment
Earnings Allocation
Joint Venture
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Better M&A performance requires better decisions

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Manual work, siloed data, and biased decisions cost your business millions of dollars - every single year.

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