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Still wondering what your company or your competitors lose by making management decisions the outdated way?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*
169963
days per year
Productivity losses*
83
$  M
Value at risk*
290
$  M
Avg. failure risk*
58
%
FTEs unblocked**
62886
days  per year
Producitivity gains**
31
$  M
Risk reduction**
105
$  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*
339926
days per year
Productivity losses*
165
$  M
Value at risk*
204
$  M
Avg. failure risk*
58
%
FTEs unblocked**
125772
days  per year
Producitivity gains**
61
$  M
Risk reduction**
74
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
406023
days per year
Productivity losses*
197
$  M
Value at risk*
168
$  M
Avg. failure risk*
58
%
FTEs unblocked**
150228
days  per year
Producitivity gains**
73
$  M
Risk reduction**
60
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
160520
days per year
Productivity losses*
78
$  M
Value at risk*
290
$  M
Avg. failure risk*
58
%
FTEs unblocked**
59392
days  per year
Producitivity gains**
29
$  M
Risk reduction**
104
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
65568
days per year
Productivity losses*
32
$  M
Value at risk*
330
$  M
Avg. failure risk*
58
%
FTEs unblocked**
24260
days  per year
Producitivity gains**
12
$  M
Risk reduction**
119
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
251-500
Market cap
Revenue category
$10B+
Sector
Real Estate
FTE days lost*
4532
days per year
Productivity losses*
2
$  M
Value at risk*
358
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1676
days  per year
Producitivity gains**
1
$  M
Risk reduction**
129
$  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*
86076
days per year
Productivity losses*
42
$  M
Value at risk*
314
$  M
Avg. failure risk*
58
%
FTEs unblocked**
31848
days  per year
Producitivity gains**
15
$  M
Risk reduction**
113
$  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*
138803
days per year
Productivity losses*
68
$  M
Value at risk*
285
$  M
Avg. failure risk*
58
%
FTEs unblocked**
51357
days  per year
Producitivity gains**
25
$  M
Risk reduction**
103
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
188848
days per year
Productivity losses*
92
$  M
Value at risk*
258
$  M
Avg. failure risk*
58
%
FTEs unblocked**
69873
days  per year
Producitivity gains**
34
$  M
Risk reduction**
93
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
127472
days per year
Productivity losses*
62
$  M
Value at risk*
287
$  M
Avg. failure risk*
58
%
FTEs unblocked**
47164
days  per year
Producitivity gains**
23
$  M
Risk reduction**
103
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
113422
days per year
Productivity losses*
55
$  M
Value at risk*
293
$  M
Avg. failure risk*
58
%
FTEs unblocked**
41966
days  per year
Producitivity gains**
20
$  M
Risk reduction**
105
$  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*
190717
days per year
Productivity losses*
93
$  M
Value at risk*
253
$  M
Avg. failure risk*
58
%
FTEs unblocked**
70565
days  per year
Producitivity gains**
34
$  M
Risk reduction**
91
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
207732
days per year
Productivity losses*
101
$  M
Value at risk*
241
$  M
Avg. failure risk*
58
%
FTEs unblocked**
76861
days  per year
Producitivity gains**
37
$  M
Risk reduction**
87
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Financial Services
FTE days lost*
95396
days per year
Productivity losses*
46
$  M
Value at risk*
295
$  M
Avg. failure risk*
58
%
FTEs unblocked**
35296
days  per year
Producitivity gains**
17
$  M
Risk reduction**
106
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Consumer Defensive
FTE days lost*
43501
days per year
Productivity losses*
21
$  M
Value at risk*
314
$  M
Avg. failure risk*
58
%
FTEs unblocked**
16095
days  per year
Producitivity gains**
8
$  M
Risk reduction**
113
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Consumer Cyclical
FTE days lost*
118974
days per year
Productivity losses*
58
$  M
Value at risk*
275
$  M
Avg. failure risk*
58
%
FTEs unblocked**
44020
days  per year
Producitivity gains**
21
$  M
Risk reduction**
99
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
559934
days per year
Productivity losses*
272
$  M
Value at risk*
54
$  M
Avg. failure risk*
58
%
FTEs unblocked**
207175
days  per year
Producitivity gains**
101
$  M
Risk reduction**
19
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Consumer Cyclical
FTE days lost*
254944
days per year
Productivity losses*
124
$  M
Value at risk*
204
$  M
Avg. failure risk*
58
%
FTEs unblocked**
94329
days  per year
Producitivity gains**
46
$  M
Risk reduction**
74
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
218119
days per year
Productivity losses*
106
$  M
Value at risk*
213
$  M
Avg. failure risk*
58
%
FTEs unblocked**
80704
days  per year
Producitivity gains**
39
$  M
Risk reduction**
77
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Communication Services
FTE days lost*
98200
days per year
Productivity losses*
48
$  M
Value at risk*
271
$  M
Avg. failure risk*
58
%
FTEs unblocked**
36334
days  per year
Producitivity gains**
18
$  M
Risk reduction**
98
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
146357
days per year
Productivity losses*
71
$  M
Value at risk*
243
$  M
Avg. failure risk*
58
%
FTEs unblocked**
54152
days  per year
Producitivity gains**
26
$  M
Risk reduction**
87
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
251-500
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Real Estate
FTE days lost*
4258
days per year
Productivity losses*
2
$  M
Value at risk*
312
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1575
days  per year
Producitivity gains**
1
$  M
Risk reduction**
112
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
103866
days per year
Productivity losses*
51
$  M
Value at risk*
261
$  M
Avg. failure risk*
58
%
FTEs unblocked**
38430
days  per year
Producitivity gains**
19
$  M
Risk reduction**
94
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
77427
days per year
Productivity losses*
38
$  M
Value at risk*
274
$  M
Avg. failure risk*
58
%
FTEs unblocked**
28648
days  per year
Producitivity gains**
14
$  M
Risk reduction**
99
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Consumer Cyclical
FTE days lost*
61281
days per year
Productivity losses*
30
$  M
Value at risk*
280
$  M
Avg. failure risk*
58
%
FTEs unblocked**
22674
days  per year
Producitivity gains**
11
$  M
Risk reduction**
101
$  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.

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

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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