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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
$10B+
Sector
Technology
FTE days lost*
387138
days per year
Productivity losses*
188
$  M
Value at risk*
1288
$  M
Avg. failure risk*
58
%
FTEs unblocked**
143241
days  per year
Producitivity gains**
70
$  M
Risk reduction**
464
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
214342
days per year
Productivity losses*
104
$  M
Value at risk*
1369
$  M
Avg. failure risk*
58
%
FTEs unblocked**
79306
days  per year
Producitivity gains**
39
$  M
Risk reduction**
493
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
778997
days per year
Productivity losses*
379
$  M
Value at risk*
1084
$  M
Avg. failure risk*
58
%
FTEs unblocked**
288229
days  per year
Producitivity gains**
140
$  M
Risk reduction**
390
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
679852
days per year
Productivity losses*
331
$  M
Value at risk*
1110
$  M
Avg. failure risk*
58
%
FTEs unblocked**
251545
days  per year
Producitivity gains**
122
$  M
Risk reduction**
400
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
729897
days per year
Productivity losses*
355
$  M
Value at risk*
1085
$  M
Avg. failure risk*
58
%
FTEs unblocked**
270062
days  per year
Producitivity gains**
131
$  M
Risk reduction**
390
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Utilities
FTE days lost*
45238
days per year
Productivity losses*
22
$  M
Value at risk*
1418
$  M
Avg. failure risk*
58
%
FTEs unblocked**
16738
days  per year
Producitivity gains**
8
$  M
Risk reduction**
510
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$10B+
Sector
Real Estate
FTE days lost*
60346
days per year
Productivity losses*
29
$  M
Value at risk*
1405
$  M
Avg. failure risk*
58
%
FTEs unblocked**
22328
days  per year
Producitivity gains**
11
$  M
Risk reduction**
506
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
547659
days per year
Productivity losses*
266
$  M
Value at risk*
1153
$  M
Avg. failure risk*
58
%
FTEs unblocked**
202633
days  per year
Producitivity gains**
99
$  M
Risk reduction**
415
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
868700
days per year
Productivity losses*
423
$  M
Value at risk*
989
$  M
Avg. failure risk*
58
%
FTEs unblocked**
321419
days  per year
Producitivity gains**
156
$  M
Risk reduction**
356
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
2833343
days per year
Productivity losses*
1378
$  M
Value at risk*
0
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1048336
days  per year
Producitivity gains**
510
$  M
Risk reduction**
0
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
122751
days per year
Productivity losses*
60
$  M
Value at risk*
1345
$  M
Avg. failure risk*
58
%
FTEs unblocked**
45417
days  per year
Producitivity gains**
22
$  M
Risk reduction**
484
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
179405
days per year
Productivity losses*
87
$  M
Value at risk*
1300
$  M
Avg. failure risk*
58
%
FTEs unblocked**
66380
days  per year
Producitivity gains**
32
$  M
Risk reduction**
468
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
232283
days per year
Productivity losses*
113
$  M
Value at risk*
1264
$  M
Avg. failure risk*
58
%
FTEs unblocked**
85944
days  per year
Producitivity gains**
42
$  M
Risk reduction**
455
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
188848
days per year
Productivity losses*
92
$  M
Value at risk*
1283
$  M
Avg. failure risk*
58
%
FTEs unblocked**
69873
days  per year
Producitivity gains**
34
$  M
Risk reduction**
462
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
162409
days per year
Productivity losses*
79
$  M
Value at risk*
1247
$  M
Avg. failure risk*
58
%
FTEs unblocked**
60091
days  per year
Producitivity gains**
29
$  M
Risk reduction**
449
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$10B+
Sector
Communication Services
FTE days lost*
236060
days per year
Productivity losses*
115
$  M
Value at risk*
1201
$  M
Avg. failure risk*
58
%
FTEs unblocked**
87342
days  per year
Producitivity gains**
42
$  M
Risk reduction**
432
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Utilities
FTE days lost*
67201
days per year
Productivity losses*
33
$  M
Value at risk*
1278
$  M
Avg. failure risk*
58
%
FTEs unblocked**
24864
days  per year
Producitivity gains**
12
$  M
Risk reduction**
460
$  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*
32217
days per year
Productivity losses*
16
$  M
Value at risk*
1291
$  M
Avg. failure risk*
58
%
FTEs unblocked**
11920
days  per year
Producitivity gains**
6
$  M
Risk reduction**
465
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
502335
days per year
Productivity losses*
244
$  M
Value at risk*
1039
$  M
Avg. failure risk*
58
%
FTEs unblocked**
185864
days  per year
Producitivity gains**
90
$  M
Risk reduction**
374
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
897027
days per year
Productivity losses*
436
$  M
Value at risk*
832
$  M
Avg. failure risk*
58
%
FTEs unblocked**
331900
days  per year
Producitivity gains**
161
$  M
Risk reduction**
300
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Utilities
FTE days lost*
42604
days per year
Productivity losses*
21
$  M
Value at risk*
1257
$  M
Avg. failure risk*
58
%
FTEs unblocked**
15763
days  per year
Producitivity gains**
8
$  M
Risk reduction**
452
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
99381
days per year
Productivity losses*
48
$  M
Value at risk*
1223
$  M
Avg. failure risk*
58
%
FTEs unblocked**
36771
days  per year
Producitivity gains**
18
$  M
Risk reduction**
440
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
182238
days per year
Productivity losses*
89
$  M
Value at risk*
1170
$  M
Avg. failure risk*
58
%
FTEs unblocked**
67428
days  per year
Producitivity gains**
33
$  M
Risk reduction**
421
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
607769
days per year
Productivity losses*
296
$  M
Value at risk*
956
$  M
Avg. failure risk*
58
%
FTEs unblocked**
224874
days  per year
Producitivity gains**
109
$  M
Risk reduction**
344
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
292714
days per year
Productivity losses*
142
$  M
Value at risk*
1100
$  M
Avg. failure risk*
58
%
FTEs unblocked**
108304
days  per year
Producitivity gains**
53
$  M
Risk reduction**
396
$  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.

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