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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
Basic Materials
FTE days lost*
113063
days per year
Productivity losses*
55
$  M
Value at risk*
633
$  M
Avg. failure risk*
58
%
FTEs unblocked**
41833
days  per year
Producitivity gains**
20
$  M
Risk reduction**
228
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
139747
days per year
Productivity losses*
68
$  M
Value at risk*
614
$  M
Avg. failure risk*
58
%
FTEs unblocked**
51706
days  per year
Producitivity gains**
25
$  M
Risk reduction**
221
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Consumer Defensive
FTE days lost*
264387
days per year
Productivity losses*
129
$  M
Value at risk*
539
$  M
Avg. failure risk*
58
%
FTEs unblocked**
97823
days  per year
Producitivity gains**
48
$  M
Risk reduction**
194
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Consumer Defensive
FTE days lost*
101033
days per year
Productivity losses*
49
$  M
Value at risk*
617
$  M
Avg. failure risk*
58
%
FTEs unblocked**
37382
days  per year
Producitivity gains**
18
$  M
Risk reduction**
222
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Micro-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
387138
days per year
Productivity losses*
188
$  M
Value at risk*
473
$  M
Avg. failure risk*
58
%
FTEs unblocked**
143241
days  per year
Producitivity gains**
70
$  M
Risk reduction**
170
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
509889
days per year
Productivity losses*
248
$  M
Value at risk*
411
$  M
Avg. failure risk*
58
%
FTEs unblocked**
188659
days  per year
Producitivity gains**
92
$  M
Risk reduction**
148
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
424907
days per year
Productivity losses*
207
$  M
Value at risk*
445
$  M
Avg. failure risk*
58
%
FTEs unblocked**
157215
days  per year
Producitivity gains**
76
$  M
Risk reduction**
160
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
386194
days per year
Productivity losses*
188
$  M
Value at risk*
458
$  M
Avg. failure risk*
58
%
FTEs unblocked**
142891
days  per year
Producitivity gains**
70
$  M
Risk reduction**
165
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
594871
days per year
Productivity losses*
289
$  M
Value at risk*
350
$  M
Avg. failure risk*
58
%
FTEs unblocked**
220102
days  per year
Producitivity gains**
107
$  M
Risk reduction**
126
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
424907
days per year
Productivity losses*
207
$  M
Value at risk*
432
$  M
Avg. failure risk*
58
%
FTEs unblocked**
157215
days  per year
Producitivity gains**
76
$  M
Risk reduction**
155
$  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*
23606
days per year
Productivity losses*
11
$  M
Value at risk*
632
$  M
Avg. failure risk*
58
%
FTEs unblocked**
8734
days  per year
Producitivity gains**
4
$  M
Risk reduction**
227
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
94424
days per year
Productivity losses*
46
$  M
Value at risk*
593
$  M
Avg. failure risk*
58
%
FTEs unblocked**
34936
days  per year
Producitivity gains**
17
$  M
Risk reduction**
213
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
443792
days per year
Productivity losses*
216
$  M
Value at risk*
418
$  M
Avg. failure risk*
58
%
FTEs unblocked**
164203
days  per year
Producitivity gains**
80
$  M
Risk reduction**
150
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
116141
days per year
Productivity losses*
56
$  M
Value at risk*
573
$  M
Avg. failure risk*
58
%
FTEs unblocked**
42972
days  per year
Producitivity gains**
21
$  M
Risk reduction**
206
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
446625
days per year
Productivity losses*
217
$  M
Value at risk*
407
$  M
Avg. failure risk*
58
%
FTEs unblocked**
165251
days  per year
Producitivity gains**
80
$  M
Risk reduction**
147
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
403077
days per year
Productivity losses*
196
$  M
Value at risk*
426
$  M
Avg. failure risk*
58
%
FTEs unblocked**
149138
days  per year
Producitivity gains**
73
$  M
Risk reduction**
153
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
177517
days per year
Productivity losses*
86
$  M
Value at risk*
534
$  M
Avg. failure risk*
58
%
FTEs unblocked**
65681
days  per year
Producitivity gains**
32
$  M
Risk reduction**
192
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
132193
days per year
Productivity losses*
64
$  M
Value at risk*
557
$  M
Avg. failure risk*
58
%
FTEs unblocked**
48911
days  per year
Producitivity gains**
24
$  M
Risk reduction**
200
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
566544
days per year
Productivity losses*
276
$  M
Value at risk*
326
$  M
Avg. failure risk*
58
%
FTEs unblocked**
209621
days  per year
Producitivity gains**
102
$  M
Risk reduction**
117
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
26910
days per year
Productivity losses*
13
$  M
Value at risk*
588
$  M
Avg. failure risk*
58
%
FTEs unblocked**
9957
days  per year
Producitivity gains**
5
$  M
Risk reduction**
212
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
83735
days per year
Productivity losses*
41
$  M
Value at risk*
559
$  M
Avg. failure risk*
58
%
FTEs unblocked**
30982
days  per year
Producitivity gains**
15
$  M
Risk reduction**
201
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
113780
days per year
Productivity losses*
55
$  M
Value at risk*
516
$  M
Avg. failure risk*
58
%
FTEs unblocked**
42098
days  per year
Producitivity gains**
20
$  M
Risk reduction**
186
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
424907
days per year
Productivity losses*
207
$  M
Value at risk*
358
$  M
Avg. failure risk*
58
%
FTEs unblocked**
157215
days  per year
Producitivity gains**
76
$  M
Risk reduction**
129
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
77295
days per year
Productivity losses*
38
$  M
Value at risk*
528
$  M
Avg. failure risk*
58
%
FTEs unblocked**
28599
days  per year
Producitivity gains**
14
$  M
Risk reduction**
190
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
34105
days per year
Productivity losses*
17
$  M
Value at risk*
540
$  M
Avg. failure risk*
58
%
FTEs unblocked**
12619
days  per year
Producitivity gains**
6
$  M
Risk reduction**
194
$  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 &
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Validated
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Go Live &
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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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Infrastructure Investment
OEM (Customer) Screening
Investment
Stock Selection
Entry
Performance Monitoring
Debt Restructuring
Spin Off
Asset Price Optimization
OEM Partnership
Platform Ecosystem
Asset Acquisition
Business Unit Performance Monitoring
Make-or-buy - purchasing
Buy Side Advisory
Country Index Allocation
Initiative Portfolio Risk Monitoring
Credit Risk Monitoring
Strategic Alliance
Financial Planning
Hedge Fund Portfolio Monitoring
Private Equity Portfolio Monitoring
Business Portfolio Optimization
CapEx Investment
Internationalization
Corporate Venture Capital Investment
Market Entry
Budgeting
Hedge Fund Portfolio Allocation
Business Case Valuation
Asset Valuation
Acquisition Target Screening
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Stock Investment
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Supplier Sourcing
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Investment Target Screening
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R&D Investment
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R&D Portfolio Performance Monitoring
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Opportunity Selection
Take-Privat
CapEx Initiative Priorization
Working Capital Optimization
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Investor Sourcing
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Earnings Optimization
Partner Screening
Cloud strategy
Enterprise Value Optimization
Portfolio Risk monitoring
Component Sourcing Strategy
Acquisition
R&D Portfolio Risk Monitoring
Market Risk Monitoring
Value Optimization
Fairness Opinion
Option Pricing
Exit Strategy Evaluation
Strategy Selection
Make-or-acquire
Sell-side Avisory Opportunity
Asset Sale
Enterprise Capital Allocation
IPO Structure Optimization
Earnings Allocation
Joint Venture
Merger
Deal Structure Optimization
Technology scouting
Acquisition-financing
Enterprise Valuation
Transformation Portfolio Risk Monitoring
Capital Allocation Optimization
Market Index Allocation
Buyer Screening
Price Target
R&D Partnership
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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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