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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
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Go Live &
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Decision optimzation system

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