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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
$10B+
Sector
Basic Materials
FTE days lost*
625747
days per year
Productivity losses*
304
$  M
Value at risk*
1973
$  M
Avg. failure risk*
58
%
FTEs unblocked**
231526
days  per year
Producitivity gains**
113
$  M
Risk reduction**
710
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
19602
days per year
Productivity losses*
10
$  M
Value at risk*
2274
$  M
Avg. failure risk*
58
%
FTEs unblocked**
7252
days  per year
Producitivity gains**
4
$  M
Risk reduction**
819
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
299947
days per year
Productivity losses*
146
$  M
Value at risk*
2100
$  M
Avg. failure risk*
58
%
FTEs unblocked**
110980
days  per year
Producitivity gains**
54
$  M
Risk reduction**
756
$  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*
2014
$  M
Avg. failure risk*
58
%
FTEs unblocked**
157215
days  per year
Producitivity gains**
76
$  M
Risk reduction**
725
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
276086
days per year
Productivity losses*
134
$  M
Value at risk*
2062
$  M
Avg. failure risk*
58
%
FTEs unblocked**
102151
days  per year
Producitivity gains**
50
$  M
Risk reduction**
742
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
774276
days per year
Productivity losses*
377
$  M
Value at risk*
1785
$  M
Avg. failure risk*
58
%
FTEs unblocked**
286482
days  per year
Producitivity gains**
139
$  M
Risk reduction**
643
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
36825
days per year
Productivity losses*
18
$  M
Value at risk*
2143
$  M
Avg. failure risk*
58
%
FTEs unblocked**
13625
days  per year
Producitivity gains**
7
$  M
Risk reduction**
772
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
325762
days per year
Productivity losses*
158
$  M
Value at risk*
1973
$  M
Avg. failure risk*
58
%
FTEs unblocked**
120532
days  per year
Producitivity gains**
59
$  M
Risk reduction**
710
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
241725
days per year
Productivity losses*
118
$  M
Value at risk*
2012
$  M
Avg. failure risk*
58
%
FTEs unblocked**
89438
days  per year
Producitivity gains**
44
$  M
Risk reduction**
724
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
434350
days per year
Productivity losses*
211
$  M
Value at risk*
1895
$  M
Avg. failure risk*
58
%
FTEs unblocked**
160709
days  per year
Producitivity gains**
78
$  M
Risk reduction**
682
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
491004
days per year
Productivity losses*
239
$  M
Value at risk*
1847
$  M
Avg. failure risk*
58
%
FTEs unblocked**
181671
days  per year
Producitivity gains**
88
$  M
Risk reduction**
665
$  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*
966901
days per year
Productivity losses*
470
$  M
Value at risk*
1572
$  M
Avg. failure risk*
58
%
FTEs unblocked**
357753
days  per year
Producitivity gains**
174
$  M
Risk reduction**
566
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
82384
days per year
Productivity losses*
40
$  M
Value at risk*
2009
$  M
Avg. failure risk*
58
%
FTEs unblocked**
30482
days  per year
Producitivity gains**
15
$  M
Risk reduction**
723
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
501-1000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Energy
FTE days lost*
9178
days per year
Productivity losses*
4
$  M
Value at risk*
2033
$  M
Avg. failure risk*
58
%
FTEs unblocked**
3395
days  per year
Producitivity gains**
2
$  M
Risk reduction**
732
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
3263293
days per year
Productivity losses*
1587
$  M
Value at risk*
389
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1207418
days  per year
Producitivity gains**
587
$  M
Risk reduction**
140
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
95387
days per year
Productivity losses*
46
$  M
Value at risk*
1967
$  M
Avg. failure risk*
58
%
FTEs unblocked**
35293
days  per year
Producitivity gains**
17
$  M
Risk reduction**
708
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Utilities
FTE days lost*
87285
days per year
Productivity losses*
42
$  M
Value at risk*
1960
$  M
Avg. failure risk*
58
%
FTEs unblocked**
32295
days  per year
Producitivity gains**
16
$  M
Risk reduction**
706
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
47618
days per year
Productivity losses*
23
$  M
Value at risk*
1962
$  M
Avg. failure risk*
58
%
FTEs unblocked**
17618
days  per year
Producitivity gains**
9
$  M
Risk reduction**
706
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
3559784
days per year
Productivity losses*
1731
$  M
Value at risk*
193
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1317120
days  per year
Producitivity gains**
641
$  M
Risk reduction**
69
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
538216
days per year
Productivity losses*
262
$  M
Value at risk*
1687
$  M
Avg. failure risk*
58
%
FTEs unblocked**
199140
days  per year
Producitivity gains**
97
$  M
Risk reduction**
607
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
356922
days per year
Productivity losses*
174
$  M
Value at risk*
1767
$  M
Avg. failure risk*
58
%
FTEs unblocked**
132061
days  per year
Producitivity gains**
64
$  M
Risk reduction**
636
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Real Estate
FTE days lost*
119172
days per year
Productivity losses*
58
$  M
Value at risk*
1880
$  M
Avg. failure risk*
58
%
FTEs unblocked**
44093
days  per year
Producitivity gains**
21
$  M
Risk reduction**
677
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
467398
days per year
Productivity losses*
227
$  M
Value at risk*
1703
$  M
Avg. failure risk*
58
%
FTEs unblocked**
172937
days  per year
Producitivity gains**
84
$  M
Risk reduction**
613
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
500447
days per year
Productivity losses*
243
$  M
Value at risk*
1633
$  M
Avg. failure risk*
58
%
FTEs unblocked**
185165
days  per year
Producitivity gains**
90
$  M
Risk reduction**
588
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
1340820
days per year
Productivity losses*
652
$  M
Value at risk*
1197
$  M
Avg. failure risk*
58
%
FTEs unblocked**
496103
days  per year
Producitivity gains**
241
$  M
Risk reduction**
431
$  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
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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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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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ETF Allocation
Capital Structure Optimization
Technology scouting
Project Financing Structuring
Debt Restructuring
Working Capital Optimization
Infrastructure Investment
Private Equity Portfolio Monitoring
Acquisition
Make-or-acquire
R&D Partnership
Transformation Portfolio Risk Monitoring
Hedge Fund Portfolio Monitoring
Business Case Valuation
Earnings Optimization
Option Pricing
OEM (Customer) Screening
Risk Monitoring
Asset Sale
Financial Planning
Investor Sourcing
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Fairness Opinion
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Buyer Screening
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Make-or-buy - purchasing
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Exit Strategy Evaluation
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Entry
Portfolio Allocation Optimization
Credit Risk Monitoring
Value Optimization
Spin Off
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Secondary Buyout (SBO)
Take-Privat
CapEx Investment
Earnings Allocation
IPO Structure Optimization
Stock Investment
Component Sourcing Strategy
Budgeting
Enterprise Valuation
Sell-side advisory
Platform Ecosystem
Country Index Allocation
Strategic Alliance
Hedge Fund Portfolio Allocation
Acquisition-financing
Enterprise Capital Allocation
R&D Initiative Priorization
Merger
Business Unit Performance Monitoring
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Manual work, siloed data, and biased decisions cost your business millions of dollars - every single year.

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