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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Real Estate
FTE days lost*
22539
days per year
Productivity losses*
11
$  M
Value at risk*
180
$  M
Avg. failure risk*
58
%
FTEs unblocked**
8339
days  per year
Producitivity gains**
4
$  M
Risk reduction**
65
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
34936
days per year
Productivity losses*
17
$  M
Value at risk*
173
$  M
Avg. failure risk*
58
%
FTEs unblocked**
12926
days  per year
Producitivity gains**
6
$  M
Risk reduction**
62
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
30659
days per year
Productivity losses*
15
$  M
Value at risk*
173
$  M
Avg. failure risk*
58
%
FTEs unblocked**
11344
days  per year
Producitivity gains**
6
$  M
Risk reduction**
62
$  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*
26637
days per year
Productivity losses*
13
$  M
Value at risk*
169
$  M
Avg. failure risk*
58
%
FTEs unblocked**
9855
days  per year
Producitivity gains**
5
$  M
Risk reduction**
61
$  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*
169840
days per year
Productivity losses*
83
$  M
Value at risk*
96
$  M
Avg. failure risk*
58
%
FTEs unblocked**
62840
days  per year
Producitivity gains**
31
$  M
Risk reduction**
35
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
138803
days per year
Productivity losses*
68
$  M
Value at risk*
111
$  M
Avg. failure risk*
58
%
FTEs unblocked**
51357
days  per year
Producitivity gains**
25
$  M
Risk reduction**
40
$  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*
74623
days per year
Productivity losses*
36
$  M
Value at risk*
138
$  M
Avg. failure risk*
58
%
FTEs unblocked**
27610
days  per year
Producitivity gains**
13
$  M
Risk reduction**
50
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
26637
days per year
Productivity losses*
13
$  M
Value at risk*
161
$  M
Avg. failure risk*
58
%
FTEs unblocked**
9855
days  per year
Producitivity gains**
5
$  M
Risk reduction**
58
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
300740
days per year
Productivity losses*
146
$  M
Value at risk*
22
$  M
Avg. failure risk*
58
%
FTEs unblocked**
111273
days  per year
Producitivity gains**
54
$  M
Risk reduction**
8
$  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*
165383
days per year
Productivity losses*
80
$  M
Value at risk*
87
$  M
Avg. failure risk*
58
%
FTEs unblocked**
61191
days  per year
Producitivity gains**
30
$  M
Risk reduction**
31
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
501-1000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Real Estate
FTE days lost*
7365
days per year
Productivity losses*
4
$  M
Value at risk*
161
$  M
Avg. failure risk*
58
%
FTEs unblocked**
2725
days  per year
Producitivity gains**
1
$  M
Risk reduction**
58
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
67985
days per year
Productivity losses*
33
$  M
Value at risk*
129
$  M
Avg. failure risk*
58
%
FTEs unblocked**
25154
days  per year
Producitivity gains**
12
$  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*
156743
days per year
Productivity losses*
76
$  M
Value at risk*
85
$  M
Avg. failure risk*
58
%
FTEs unblocked**
57995
days  per year
Producitivity gains**
28
$  M
Risk reduction**
30
$  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*
67
$  M
Avg. failure risk*
58
%
FTEs unblocked**
67428
days  per year
Producitivity gains**
33
$  M
Risk reduction**
24
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Financial Services
FTE days lost*
81402
days per year
Productivity losses*
40
$  M
Value at risk*
112
$  M
Avg. failure risk*
58
%
FTEs unblocked**
30119
days  per year
Producitivity gains**
15
$  M
Risk reduction**
40
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
156016
days per year
Productivity losses*
76
$  M
Value at risk*
75
$  M
Avg. failure risk*
58
%
FTEs unblocked**
57726
days  per year
Producitivity gains**
28
$  M
Risk reduction**
27
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
104810
days per year
Productivity losses*
51
$  M
Value at risk*
95
$  M
Avg. failure risk*
58
%
FTEs unblocked**
38779
days  per year
Producitivity gains**
19
$  M
Risk reduction**
34
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
187903
days per year
Productivity losses*
91
$  M
Value at risk*
50
$  M
Avg. failure risk*
58
%
FTEs unblocked**
69524
days  per year
Producitivity gains**
34
$  M
Risk reduction**
18
$  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*
61989
days per year
Productivity losses*
30
$  M
Value at risk*
112
$  M
Avg. failure risk*
58
%
FTEs unblocked**
22936
days  per year
Producitivity gains**
11
$  M
Risk reduction**
40
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
61602
days per year
Productivity losses*
30
$  M
Value at risk*
109
$  M
Avg. failure risk*
58
%
FTEs unblocked**
22792
days  per year
Producitivity gains**
11
$  M
Risk reduction**
39
$  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*
26995
days per year
Productivity losses*
13
$  M
Value at risk*
119
$  M
Avg. failure risk*
58
%
FTEs unblocked**
9988
days  per year
Producitivity gains**
5
$  M
Risk reduction**
43
$  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*
47023
days per year
Productivity losses*
23
$  M
Value at risk*
104
$  M
Avg. failure risk*
58
%
FTEs unblocked**
17398
days  per year
Producitivity gains**
8
$  M
Risk reduction**
38
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
101-250
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Real Estate
FTE days lost*
1879
days per year
Productivity losses*
1
$  M
Value at risk*
124
$  M
Avg. failure risk*
58
%
FTEs unblocked**
695
days  per year
Producitivity gains**
0
$  M
Risk reduction**
45
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
247390
days per year
Productivity losses*
120
$  M
Value at risk*
0
$  M
Avg. failure risk*
58
%
FTEs unblocked**
91534
days  per year
Producitivity gains**
45
$  M
Risk reduction**
0
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
153911
days per year
Productivity losses*
75
$  M
Value at risk*
46
$  M
Avg. failure risk*
58
%
FTEs unblocked**
56947
days  per year
Producitivity gains**
28
$  M
Risk reduction**
17
$  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 &
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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
Acquisition-financing
Private Equity Portfolio Allocation
Capital Structure Optimization
Market Entry
Private Equity Portfolio Monitoring
R&D Partnership
Asset Valuation
Infrastructure Investment
Capital Allocation Optimization
Business Portfolio Optimization
Asset Portfolio Risk Monitoring
Asset Acquisition
Buyer Screening
Transformation Initiative Priorization
Debt Restructuring
Portfolio Allocation Optimization
R&D Portfolio Performance Monitoring
Divestiture
Bid Strategy Optimization
Value Optimization
Technology scouting
Enterprise Valuation
Market Index Monitoring
Business Unit Performance Monitoring
Carve out
Portfolio Risk monitoring
Business Case Valuation
Stock Investment
Acquisition
Market Index Allocation
Investment Target Screening
OEM Partnership
Hedge Fund Portfolio Monitoring
Partner Screening
CapEx Initiative Priorization
OEM (Customer) Screening
Investor Sourcing
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LBO Financing
Take-Privat
Make-or-buy - purchasing
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Price Target
Market Risk Monitoring
Platform Ecosystem
Asset Price Optimization
Option Pricing
IPO Structure Optimization
Hedge Fund Portfolio Allocation
Make-or-acquire
Secondary Buyout (SBO)
Strategy Selection
Project Financing Structuring
R&D Initiative Priorization
Spin Off
Initiative Portfolio Risk Monitoring
Risk Monitoring
Venture Capital Investment
Transformation Portfolio Risk Monitoring
Earnings Optimization
Working Capital Optimization
Supplier Sourcing
Enterprise Value Optimization
Business Unit Risk Monitoring
R&D Portfolio Risk Monitoring
Buy Side Advisory
Country Index Allocation
Entry
Fairness Opinion
Sell-side Avisory Opportunity
CapEx Investment
Sell-side advisory
Financial Planning
Earnings Allocation
Budgeting
Investment
Joint Venture
Cloud strategy
Component Sourcing Strategy
Corporate Venture Capital Investment
R&D Portfolio Optimization
Enterprise Capital Allocation
Exit Strategy Evaluation
Deal Structure Optimization
Initiative Portfolio Performance Monitoring
R&D Investment
Equity Investment
Opportunity Selection
Stock Selection
Merger
Acquisition Target Screening
Internationalization
Performance Monitoring
Asset Sale
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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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