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Still wondering what your company or your competitors lose by making management decisions the outdated way?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*
315376
days per year
Productivity losses*
153
$  M
Value at risk*
646
$  M
Avg. failure risk*
58
%
FTEs unblocked**
116689
days  per year
Producitivity gains**
57
$  M
Risk reduction**
232
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
113875
days per year
Productivity losses*
55
$  M
Value at risk*
734
$  M
Avg. failure risk*
58
%
FTEs unblocked**
42133
days  per year
Producitivity gains**
20
$  M
Risk reduction**
264
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
128133
days per year
Productivity losses*
62
$  M
Value at risk*
723
$  M
Avg. failure risk*
58
%
FTEs unblocked**
47409
days  per year
Producitivity gains**
23
$  M
Risk reduction**
260
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
492893
days per year
Productivity losses*
240
$  M
Value at risk*
539
$  M
Avg. failure risk*
58
%
FTEs unblocked**
182370
days  per year
Producitivity gains**
89
$  M
Risk reduction**
194
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
163353
days per year
Productivity losses*
79
$  M
Value at risk*
702
$  M
Avg. failure risk*
58
%
FTEs unblocked**
60440
days  per year
Producitivity gains**
29
$  M
Risk reduction**
253
$  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*
96312
days per year
Productivity losses*
47
$  M
Value at risk*
733
$  M
Avg. failure risk*
58
%
FTEs unblocked**
35635
days  per year
Producitivity gains**
17
$  M
Risk reduction**
264
$  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*
991055
days per year
Productivity losses*
482
$  M
Value at risk*
278
$  M
Avg. failure risk*
58
%
FTEs unblocked**
366690
days  per year
Producitivity gains**
178
$  M
Risk reduction**
100
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
141636
days per year
Productivity losses*
69
$  M
Value at risk*
688
$  M
Avg. failure risk*
58
%
FTEs unblocked**
52405
days  per year
Producitivity gains**
25
$  M
Risk reduction**
248
$  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*
430960
days per year
Productivity losses*
210
$  M
Value at risk*
543
$  M
Avg. failure risk*
58
%
FTEs unblocked**
159455
days  per year
Producitivity gains**
78
$  M
Risk reduction**
196
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
102931
days per year
Productivity losses*
50
$  M
Value at risk*
705
$  M
Avg. failure risk*
58
%
FTEs unblocked**
38084
days  per year
Producitivity gains**
19
$  M
Risk reduction**
254
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
832338
days per year
Productivity losses*
405
$  M
Value at risk*
327
$  M
Avg. failure risk*
58
%
FTEs unblocked**
307965
days  per year
Producitivity gains**
150
$  M
Risk reduction**
118
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
476841
days per year
Productivity losses*
232
$  M
Value at risk*
504
$  M
Avg. failure risk*
58
%
FTEs unblocked**
176431
days  per year
Producitivity gains**
86
$  M
Risk reduction**
182
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
415465
days per year
Productivity losses*
202
$  M
Value at risk*
535
$  M
Avg. failure risk*
58
%
FTEs unblocked**
153722
days  per year
Producitivity gains**
75
$  M
Risk reduction**
193
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
345591
days per year
Productivity losses*
168
$  M
Value at risk*
563
$  M
Avg. failure risk*
58
%
FTEs unblocked**
127868
days  per year
Producitivity gains**
62
$  M
Risk reduction**
203
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
660967
days per year
Productivity losses*
321
$  M
Value at risk*
402
$  M
Avg. failure risk*
58
%
FTEs unblocked**
244558
days  per year
Producitivity gains**
119
$  M
Risk reduction**
145
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Basic Materials
FTE days lost*
88758
days per year
Productivity losses*
43
$  M
Value at risk*
684
$  M
Avg. failure risk*
58
%
FTEs unblocked**
32840
days  per year
Producitivity gains**
16
$  M
Risk reduction**
246
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
59487
days per year
Productivity losses*
29
$  M
Value at risk*
699
$  M
Avg. failure risk*
58
%
FTEs unblocked**
22010
days  per year
Producitivity gains**
11
$  M
Risk reduction**
252
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
186015
days per year
Productivity losses*
90
$  M
Value at risk*
635
$  M
Avg. failure risk*
58
%
FTEs unblocked**
68825
days  per year
Producitivity gains**
33
$  M
Risk reduction**
229
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
368253
days per year
Productivity losses*
179
$  M
Value at risk*
540
$  M
Avg. failure risk*
58
%
FTEs unblocked**
136253
days  per year
Producitivity gains**
66
$  M
Risk reduction**
194
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
28006
days per year
Productivity losses*
14
$  M
Value at risk*
697
$  M
Avg. failure risk*
58
%
FTEs unblocked**
10362
days  per year
Producitivity gains**
5
$  M
Risk reduction**
251
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
105282
days per year
Productivity losses*
51
$  M
Value at risk*
654
$  M
Avg. failure risk*
58
%
FTEs unblocked**
38954
days  per year
Producitivity gains**
19
$  M
Risk reduction**
235
$  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*
335205
days per year
Productivity losses*
163
$  M
Value at risk*
535
$  M
Avg. failure risk*
58
%
FTEs unblocked**
124025
days  per year
Producitivity gains**
60
$  M
Risk reduction**
193
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Consumer Defensive
FTE days lost*
54765
days per year
Productivity losses*
27
$  M
Value at risk*
671
$  M
Avg. failure risk*
58
%
FTEs unblocked**
20263
days  per year
Producitivity gains**
10
$  M
Risk reduction**
242
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
168074
days per year
Productivity losses*
82
$  M
Value at risk*
613
$  M
Avg. failure risk*
58
%
FTEs unblocked**
62187
days  per year
Producitivity gains**
30
$  M
Risk reduction**
221
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
217175
days per year
Productivity losses*
106
$  M
Value at risk*
585
$  M
Avg. failure risk*
58
%
FTEs unblocked**
80354
days  per year
Producitivity gains**
39
$  M
Risk reduction**
210
$  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
Buy Side Advisory
Strategy Selection
LBO Financing
Stock Investment
Supplier Sourcing
R&D Investment
Component Sourcing Strategy
R&D Portfolio Optimization
Value Optimization
Debt Restructuring
Stock Selection
Make-or-acquire
Venture Capital Investment
Market Index Allocation
Merger
Strategic Alliance
Investment Target Screening
Budgeting
Financial Planning
Business Case Valuation
Asset Sale
Carve out
Equity Investment
Partner Screening
Market Index Monitoring
Business Unit Risk Monitoring
Acquisition
Country Index Allocation
Cloud strategy
Asset Valuation
Enterprise Valuation
Transformation Initiative Priorization
Asset Acquisition
Portfolio Allocation Optimization
Private Equity Portfolio Monitoring
Earnings Optimization
Transformation Portfolio Risk Monitoring
R&D Partnership
Asset Portfolio Risk Monitoring
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Spin Off
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Enterprise Value Optimization
Opportunity Selection
Market Entry
IPO Structure Optimization
CapEx Investment
Acquisition-financing
Capital Allocation Optimization
Take-Privat
Credit Risk Monitoring
Divestiture
Project Financing Structuring
Secondary Buyout (SBO)
Exit Strategy Evaluation
Sell-side advisory
Acquisition Target Screening
ETF Allocation
Initiative Portfolio Performance Monitoring
Asset Price Optimization
Risk Monitoring
Sell-side Avisory Opportunity
OEM Partnership
Working Capital Optimization
Earnings Allocation
Investment
Buyer Screening
Joint Venture
Technology scouting
R&D Portfolio Risk Monitoring
Portfolio Risk monitoring
Platform Ecosystem
Performance Monitoring
R&D Initiative Priorization
Market Risk Monitoring
R&D Portfolio Performance Monitoring
Option Pricing
Investor Sourcing
Price Target
CapEx Initiative Priorization
Capital Structure Optimization
Infrastructure Investment
Deal Structure Optimization
OEM (Customer) Screening
Make-or-buy - purchasing
Internationalization
Entry
Bid Strategy Optimization
Private Equity Portfolio Allocation
Enterprise Capital Allocation
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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