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Still wondering what your company or your competitors lose by making management decisions the outdated way?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 &
-project scope
Validated
use case
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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Capital Structure Optimization
Acquisition Target Screening
Risk Monitoring
Earnings Optimization
Infrastructure Investment
Business Portfolio Optimization
Investor Sourcing
Asset Sale
R&D Portfolio Risk Monitoring
Bid Strategy Optimization
Technology scouting
Portfolio Allocation Optimization
Entry
R&D Portfolio Optimization
Strategic Alliance
Strategy Selection
Hedge Fund Portfolio Monitoring
Enterprise Capital Allocation
Cloud strategy
Buyer Screening
Enterprise Valuation
Price Target
Market Entry
Financial Planning
Acquisition-financing
Sell-side advisory
IPO Structure Optimization
Opportunity Selection
Take-Privat
Spin Off
Sell-side Avisory Opportunity
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OEM (Customer) Screening
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Private Equity Portfolio Monitoring
Investment
Value Optimization
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Initiative Portfolio Risk Monitoring
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Market Index Allocation
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Corporate Venture Capital Investment
Fairness Opinion
Project Financing Structuring
OEM Partnership
Market Index Monitoring
Internationalization
Secondary Buyout (SBO)
Private Equity Portfolio Allocation
Deal Structure Optimization
R&D Partnership
Equity Investment
Business Unit Risk Monitoring
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Stock Investment
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Capital Allocation Optimization
Option Pricing
Carve out
Budgeting
Partner Screening
Performance Monitoring
Investment Target Screening
Transformation Portfolio Risk Monitoring
Joint Venture
Working Capital Optimization
Business Case Valuation
Transformation Initiative Priorization
Asset Acquisition
R&D Investment
Buy Side Advisory
Country Index Allocation
Hedge Fund Portfolio Allocation
Component Sourcing Strategy
Exit Strategy Evaluation
LBO Financing
Credit Risk Monitoring
CapEx Investment
R&D Portfolio Performance Monitoring
Asset Price Optimization
Earnings Allocation
Portfolio Risk monitoring
Make-or-buy - purchasing
Make-or-acquire
Supplier Sourcing
Initiative Portfolio Performance Monitoring
R&D Initiative Priorization
Merger
Debt Restructuring
Acquisition
Stock Selection
Venture Capital Investment
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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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