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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
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*
209
$  M
Avg. failure risk*
58
%
FTEs unblocked**
28648
days  per year
Producitivity gains**
14
$  M
Risk reduction**
75
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Mid-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
62348
days per year
Productivity losses*
30
$  M
Value at risk*
216
$  M
Avg. failure risk*
58
%
FTEs unblocked**
23068
days  per year
Producitivity gains**
11
$  M
Risk reduction**
78
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
186959
days per year
Productivity losses*
91
$  M
Value at risk*
152
$  M
Avg. failure risk*
58
%
FTEs unblocked**
69175
days  per year
Producitivity gains**
34
$  M
Risk reduction**
55
$  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*
22661
days per year
Productivity losses*
11
$  M
Value at risk*
227
$  M
Avg. failure risk*
58
%
FTEs unblocked**
8384
days  per year
Producitivity gains**
4
$  M
Risk reduction**
82
$  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*
182
$  M
Avg. failure risk*
58
%
FTEs unblocked**
38430
days  per year
Producitivity gains**
19
$  M
Risk reduction**
66
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
190736
days per year
Productivity losses*
93
$  M
Value at risk*
137
$  M
Avg. failure risk*
58
%
FTEs unblocked**
70572
days  per year
Producitivity gains**
34
$  M
Risk reduction**
49
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
202067
days per year
Productivity losses*
98
$  M
Value at risk*
131
$  M
Avg. failure risk*
58
%
FTEs unblocked**
74764
days  per year
Producitivity gains**
36
$  M
Risk reduction**
47
$  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*
14267
days per year
Productivity losses*
7
$  M
Value at risk*
218
$  M
Avg. failure risk*
58
%
FTEs unblocked**
5278
days  per year
Producitivity gains**
3
$  M
Risk reduction**
78
$  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*
23284
days per year
Productivity losses*
11
$  M
Value at risk*
212
$  M
Avg. failure risk*
58
%
FTEs unblocked**
8615
days  per year
Producitivity gains**
4
$  M
Risk reduction**
76
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
24550
days per year
Productivity losses*
12
$  M
Value at risk*
211
$  M
Avg. failure risk*
58
%
FTEs unblocked**
9083
days  per year
Producitivity gains**
4
$  M
Risk reduction**
76
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
179405
days per year
Productivity losses*
87
$  M
Value at risk*
130
$  M
Avg. failure risk*
58
%
FTEs unblocked**
66380
days  per year
Producitivity gains**
32
$  M
Risk reduction**
47
$  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*
68429
days per year
Productivity losses*
33
$  M
Value at risk*
185
$  M
Avg. failure risk*
58
%
FTEs unblocked**
25318
days  per year
Producitivity gains**
12
$  M
Risk reduction**
67
$  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*
67229
days per year
Productivity losses*
33
$  M
Value at risk*
181
$  M
Avg. failure risk*
58
%
FTEs unblocked**
24875
days  per year
Producitivity gains**
12
$  M
Risk reduction**
65
$  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*
153911
days per year
Productivity losses*
75
$  M
Value at risk*
138
$  M
Avg. failure risk*
58
%
FTEs unblocked**
56947
days  per year
Producitivity gains**
28
$  M
Risk reduction**
50
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
245502
days per year
Productivity losses*
119
$  M
Value at risk*
91
$  M
Avg. failure risk*
58
%
FTEs unblocked**
90835
days  per year
Producitivity gains**
44
$  M
Risk reduction**
33
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
129360
days per year
Productivity losses*
63
$  M
Value at risk*
147
$  M
Avg. failure risk*
58
%
FTEs unblocked**
47863
days  per year
Producitivity gains**
23
$  M
Risk reduction**
53
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
86492
days per year
Productivity losses*
42
$  M
Value at risk*
166
$  M
Avg. failure risk*
58
%
FTEs unblocked**
32002
days  per year
Producitivity gains**
16
$  M
Risk reduction**
60
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
27382
days per year
Productivity losses*
13
$  M
Value at risk*
195
$  M
Avg. failure risk*
58
%
FTEs unblocked**
10131
days  per year
Producitivity gains**
5
$  M
Risk reduction**
70
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
141636
days per year
Productivity losses*
69
$  M
Value at risk*
131
$  M
Avg. failure risk*
58
%
FTEs unblocked**
52405
days  per year
Producitivity gains**
25
$  M
Risk reduction**
47
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
194806
days per year
Productivity losses*
95
$  M
Value at risk*
101
$  M
Avg. failure risk*
58
%
FTEs unblocked**
72078
days  per year
Producitivity gains**
35
$  M
Risk reduction**
36
$  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*
16713
days per year
Productivity losses*
8
$  M
Value at risk*
189
$  M
Avg. failure risk*
58
%
FTEs unblocked**
6183
days  per year
Producitivity gains**
3
$  M
Risk reduction**
68
$  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*
140691
days per year
Productivity losses*
68
$  M
Value at risk*
126
$  M
Avg. failure risk*
58
%
FTEs unblocked**
52055
days  per year
Producitivity gains**
25
$  M
Risk reduction**
45
$  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*
45144
days per year
Productivity losses*
22
$  M
Value at risk*
173
$  M
Avg. failure risk*
58
%
FTEs unblocked**
16703
days  per year
Producitivity gains**
8
$  M
Risk reduction**
62
$  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*
59949
days per year
Productivity losses*
29
$  M
Value at risk*
165
$  M
Avg. failure risk*
58
%
FTEs unblocked**
22181
days  per year
Producitivity gains**
11
$  M
Risk reduction**
60
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Real Estate
FTE days lost*
53377
days per year
Productivity losses*
26
$  M
Value at risk*
166
$  M
Avg. failure risk*
58
%
FTEs unblocked**
19749
days  per year
Producitivity gains**
10
$  M
Risk reduction**
60
$  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
Earnings Optimization
Initiative Portfolio Risk Monitoring
Hedge Fund Portfolio Monitoring
Acquisition-financing
Merger
Equity Investment
Asset Price Optimization
Country Index Allocation
Option Pricing
Fairness Opinion
Acquisition
R&D Portfolio Performance Monitoring
Internationalization
Carve out
Technology scouting
Hedge Fund Portfolio Allocation
Market Entry
Private Equity Portfolio Allocation
Investment Target Screening
Business Unit Risk Monitoring
Make-or-buy - purchasing
CapEx Initiative Priorization
Business Portfolio Optimization
Sell-side advisory
Asset Acquisition
Stock Investment
Exit Strategy Evaluation
Risk Monitoring
Strategic Alliance
Market Index Allocation
Price Target
Acquisition Target Screening
Make-or-acquire
Market Index Monitoring
Platform Ecosystem
OEM Partnership
Earnings Allocation
Asset Valuation
Business Unit Performance Monitoring
Capital Allocation Optimization
CapEx Investment
Initiative Portfolio Performance Monitoring
Supplier Sourcing
IPO Structure Optimization
Enterprise Value Optimization
Cloud strategy
Deal Structure Optimization
Enterprise Valuation
R&D Investment
ETF Allocation
Investment
Asset Portfolio Risk Monitoring
Credit Risk Monitoring
LBO Financing
Take-Privat
Secondary Buyout (SBO)
Investor Sourcing
Venture Capital Investment
Transformation Portfolio Risk Monitoring
Buy Side Advisory
Project Financing Structuring
Partner Screening
Portfolio Risk monitoring
R&D Partnership
Working Capital Optimization
Budgeting
Strategy Selection
R&D Initiative Priorization
Market Risk Monitoring
Business Case Valuation
Portfolio Allocation Optimization
Spin Off
R&D Portfolio Risk Monitoring
Financial Planning
Debt Restructuring
Opportunity Selection
R&D Portfolio Optimization
Performance Monitoring
OEM (Customer) Screening
Joint Venture
Bid Strategy Optimization
Capital Structure Optimization
Infrastructure Investment
Private Equity Portfolio Monitoring
Component Sourcing Strategy
Buyer Screening
Value Optimization
Entry
Stock Selection
Transformation Initiative Priorization
Asset Sale
Sell-side Avisory Opportunity
Divestiture
Enterprise Capital Allocation
Corporate Venture Capital Investment
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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