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Still wondering what your company or your competitors lose by making management decisions the outdated way?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

Better M&A performance requires better decisions

Learn why your most impactful business process is broken

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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