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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
Healthcare
FTE days lost*
216325
days per year
Productivity losses*
105
$  M
Value at risk*
353
$  M
Avg. failure risk*
58
%
FTEs unblocked**
80040
days  per year
Producitivity gains**
39
$  M
Risk reduction**
127
$  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*
216665
days per year
Productivity losses*
105
$  M
Value at risk*
353
$  M
Avg. failure risk*
58
%
FTEs unblocked**
80166
days  per year
Producitivity gains**
39
$  M
Risk reduction**
127
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Financial Services
FTE days lost*
14569
days per year
Productivity losses*
7
$  M
Value at risk*
446
$  M
Avg. failure risk*
58
%
FTEs unblocked**
5390
days  per year
Producitivity gains**
3
$  M
Risk reduction**
160
$  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*
49572
days per year
Productivity losses*
24
$  M
Value at risk*
421
$  M
Avg. failure risk*
58
%
FTEs unblocked**
18341
days  per year
Producitivity gains**
9
$  M
Risk reduction**
152
$  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*
434350
days per year
Productivity losses*
211
$  M
Value at risk*
216
$  M
Avg. failure risk*
58
%
FTEs unblocked**
160709
days  per year
Producitivity gains**
78
$  M
Risk reduction**
78
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
373758
days per year
Productivity losses*
182
$  M
Value at risk*
245
$  M
Avg. failure risk*
58
%
FTEs unblocked**
138290
days  per year
Producitivity gains**
67
$  M
Risk reduction**
88
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
592321
days per year
Productivity losses*
288
$  M
Value at risk*
135
$  M
Avg. failure risk*
58
%
FTEs unblocked**
219159
days  per year
Producitivity gains**
107
$  M
Risk reduction**
49
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
520276
days per year
Productivity losses*
253
$  M
Value at risk*
169
$  M
Avg. failure risk*
58
%
FTEs unblocked**
192502
days  per year
Producitivity gains**
94
$  M
Risk reduction**
61
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
420186
days per year
Productivity losses*
204
$  M
Value at risk*
219
$  M
Avg. failure risk*
58
%
FTEs unblocked**
155469
days  per year
Producitivity gains**
76
$  M
Risk reduction**
79
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
236060
days per year
Productivity losses*
115
$  M
Value at risk*
310
$  M
Avg. failure risk*
58
%
FTEs unblocked**
87342
days  per year
Producitivity gains**
42
$  M
Risk reduction**
111
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
283272
days per year
Productivity losses*
138
$  M
Value at risk*
283
$  M
Avg. failure risk*
58
%
FTEs unblocked**
104810
days  per year
Producitivity gains**
51
$  M
Risk reduction**
102
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
185071
days per year
Productivity losses*
90
$  M
Value at risk*
328
$  M
Avg. failure risk*
58
%
FTEs unblocked**
68476
days  per year
Producitivity gains**
33
$  M
Risk reduction**
118
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Basic Materials
FTE days lost*
62319
days per year
Productivity losses*
30
$  M
Value at risk*
380
$  M
Avg. failure risk*
58
%
FTEs unblocked**
23058
days  per year
Producitivity gains**
11
$  M
Risk reduction**
137
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
182238
days per year
Productivity losses*
89
$  M
Value at risk*
309
$  M
Avg. failure risk*
58
%
FTEs unblocked**
67428
days  per year
Producitivity gains**
33
$  M
Risk reduction**
111
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
472120
days per year
Productivity losses*
230
$  M
Value at risk*
161
$  M
Avg. failure risk*
58
%
FTEs unblocked**
174684
days  per year
Producitivity gains**
85
$  M
Risk reduction**
58
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
38685
days per year
Productivity losses*
19
$  M
Value at risk*
374
$  M
Avg. failure risk*
58
%
FTEs unblocked**
14313
days  per year
Producitivity gains**
7
$  M
Risk reduction**
135
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
80505
days per year
Productivity losses*
39
$  M
Value at risk*
352
$  M
Avg. failure risk*
58
%
FTEs unblocked**
29787
days  per year
Producitivity gains**
14
$  M
Risk reduction**
127
$  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*
67654
days per year
Productivity losses*
33
$  M
Value at risk*
357
$  M
Avg. failure risk*
58
%
FTEs unblocked**
25032
days  per year
Producitivity gains**
12
$  M
Risk reduction**
128
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
424907
days per year
Productivity losses*
207
$  M
Value at risk*
177
$  M
Avg. failure risk*
58
%
FTEs unblocked**
157215
days  per year
Producitivity gains**
76
$  M
Risk reduction**
64
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
135970
days per year
Productivity losses*
66
$  M
Value at risk*
321
$  M
Avg. failure risk*
58
%
FTEs unblocked**
50309
days  per year
Producitivity gains**
24
$  M
Risk reduction**
115
$  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*
171
$  M
Avg. failure risk*
58
%
FTEs unblocked**
160709
days  per year
Producitivity gains**
78
$  M
Risk reduction**
61
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
283272
days per year
Productivity losses*
138
$  M
Value at risk*
245
$  M
Avg. failure risk*
58
%
FTEs unblocked**
104810
days  per year
Producitivity gains**
51
$  M
Risk reduction**
88
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
254944
days per year
Productivity losses*
124
$  M
Value at risk*
259
$  M
Avg. failure risk*
58
%
FTEs unblocked**
94329
days  per year
Producitivity gains**
46
$  M
Risk reduction**
93
$  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*
61375
days per year
Productivity losses*
30
$  M
Value at risk*
350
$  M
Avg. failure risk*
58
%
FTEs unblocked**
22708
days  per year
Producitivity gains**
11
$  M
Risk reduction**
126
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Communication Services
FTE days lost*
231338
days per year
Productivity losses*
113
$  M
Value at risk*
263
$  M
Avg. failure risk*
58
%
FTEs unblocked**
85595
days  per year
Producitivity gains**
42
$  M
Risk reduction**
95
$  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 &
rollout
Decision optimzation system

Meet the first software for decision optimization

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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R&D Partnership
Price Target
Stock Investment
Transformation Initiative Priorization
Investor Sourcing
Business Case Valuation
Exit Strategy Evaluation
Strategic Alliance
Business Unit Risk Monitoring
Market Index Allocation
R&D Portfolio Risk Monitoring
Market Index Monitoring
Fairness Opinion
Earnings Optimization
Stock Selection
Take-Privat
Secondary Buyout (SBO)
Investment
Enterprise Value Optimization
OEM Partnership
Transformation Portfolio Risk Monitoring
Hedge Fund Portfolio Allocation
Country Index Allocation
Enterprise Valuation
Value Optimization
Financial Planning
Debt Restructuring
Internationalization
Supplier Sourcing
Make-or-acquire
Cloud strategy
Deal Structure Optimization
Private Equity Portfolio Monitoring
Performance Monitoring
OEM (Customer) Screening
Strategy Selection
Infrastructure Investment
Capital Structure Optimization
Buy Side Advisory
Component Sourcing Strategy
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Portfolio Risk monitoring
Make-or-buy - purchasing
Option Pricing
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Acquisition Target Screening
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R&D Investment
Hedge Fund Portfolio Monitoring
R&D Initiative Priorization
Asset Sale
Budgeting
Credit Risk Monitoring
CapEx Investment
Asset Portfolio Risk Monitoring
Buyer Screening
Sell-side Avisory Opportunity
Corporate Venture Capital Investment
Sell-side advisory
CapEx Initiative Priorization
Risk Monitoring
Technology scouting
Investment Target Screening
Entry
Venture Capital Investment
Bid Strategy Optimization
Spin Off
Merger
Asset Acquisition
Project Financing Structuring
IPO Structure Optimization
Acquisition-financing
Market Risk Monitoring
Partner Screening
Platform Ecosystem
R&D Portfolio Optimization
Divestiture
Working Capital Optimization
Enterprise Capital Allocation
Acquisition
Market Entry
Business Unit Performance Monitoring
Joint Venture
Earnings Allocation
Private Equity Portfolio Allocation
Initiative Portfolio Performance Monitoring
Initiative Portfolio Risk Monitoring
Business Portfolio Optimization
Opportunity Selection
Equity Investment
Asset Valuation
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R&D Portfolio Performance Monitoring
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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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DeOS connects decisions on a single platform, automates data analysis with best-in-class AI engines, and augments everyone with intelligence to outperform in M&A.

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