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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
Mid-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
1227511
days per year
Productivity losses*
597
$  M
Value at risk*
628
$  M
Avg. failure risk*
58
%
FTEs unblocked**
454179
days  per year
Producitivity gains**
221
$  M
Risk reduction**
226
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
566544
days per year
Productivity losses*
276
$  M
Value at risk*
954
$  M
Avg. failure risk*
58
%
FTEs unblocked**
209621
days  per year
Producitivity gains**
102
$  M
Risk reduction**
343
$  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*
113988
days per year
Productivity losses*
55
$  M
Value at risk*
1179
$  M
Avg. failure risk*
58
%
FTEs unblocked**
42175
days  per year
Producitivity gains**
21
$  M
Risk reduction**
424
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
182238
days per year
Productivity losses*
89
$  M
Value at risk*
1130
$  M
Avg. failure risk*
58
%
FTEs unblocked**
67428
days  per year
Producitivity gains**
33
$  M
Risk reduction**
407
$  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*
143533
days per year
Productivity losses*
70
$  M
Value at risk*
1149
$  M
Avg. failure risk*
58
%
FTEs unblocked**
53107
days  per year
Producitivity gains**
26
$  M
Risk reduction**
413
$  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*
367309
days per year
Productivity losses*
179
$  M
Value at risk*
1035
$  M
Avg. failure risk*
58
%
FTEs unblocked**
135904
days  per year
Producitivity gains**
66
$  M
Risk reduction**
372
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
538216
days per year
Productivity losses*
262
$  M
Value at risk*
938
$  M
Avg. failure risk*
58
%
FTEs unblocked**
199140
days  per year
Producitivity gains**
97
$  M
Risk reduction**
338
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
96312
days per year
Productivity losses*
47
$  M
Value at risk*
1154
$  M
Avg. failure risk*
58
%
FTEs unblocked**
35635
days  per year
Producitivity gains**
17
$  M
Risk reduction**
415
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
131702
days per year
Productivity losses*
64
$  M
Value at risk*
1134
$  M
Avg. failure risk*
58
%
FTEs unblocked**
48729
days  per year
Producitivity gains**
24
$  M
Risk reduction**
408
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
141636
days per year
Productivity losses*
69
$  M
Value at risk*
1126
$  M
Avg. failure risk*
58
%
FTEs unblocked**
52405
days  per year
Producitivity gains**
25
$  M
Risk reduction**
405
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
198290
days per year
Productivity losses*
96
$  M
Value at risk*
1084
$  M
Avg. failure risk*
58
%
FTEs unblocked**
73367
days  per year
Producitivity gains**
36
$  M
Risk reduction**
390
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
566544
days per year
Productivity losses*
276
$  M
Value at risk*
897
$  M
Avg. failure risk*
58
%
FTEs unblocked**
209621
days  per year
Producitivity gains**
102
$  M
Risk reduction**
323
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
136914
days per year
Productivity losses*
67
$  M
Value at risk*
1093
$  M
Avg. failure risk*
58
%
FTEs unblocked**
50658
days  per year
Producitivity gains**
25
$  M
Risk reduction**
394
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
651525
days per year
Productivity losses*
317
$  M
Value at risk*
835
$  M
Avg. failure risk*
58
%
FTEs unblocked**
241064
days  per year
Producitivity gains**
117
$  M
Risk reduction**
301
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
293658
days per year
Productivity losses*
143
$  M
Value at risk*
1004
$  M
Avg. failure risk*
58
%
FTEs unblocked**
108653
days  per year
Producitivity gains**
53
$  M
Risk reduction**
362
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
155799
days per year
Productivity losses*
76
$  M
Value at risk*
1071
$  M
Avg. failure risk*
58
%
FTEs unblocked**
57645
days  per year
Producitivity gains**
28
$  M
Risk reduction**
386
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
1005615
days per year
Productivity losses*
489
$  M
Value at risk*
646
$  M
Avg. failure risk*
58
%
FTEs unblocked**
372077
days  per year
Producitivity gains**
181
$  M
Risk reduction**
233
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
189830
days per year
Productivity losses*
92
$  M
Value at risk*
1051
$  M
Avg. failure risk*
58
%
FTEs unblocked**
70237
days  per year
Producitivity gains**
34
$  M
Risk reduction**
378
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Real Estate
FTE days lost*
245502
days per year
Productivity losses*
119
$  M
Value at risk*
1021
$  M
Avg. failure risk*
58
%
FTEs unblocked**
90835
days  per year
Producitivity gains**
44
$  M
Risk reduction**
368
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
108587
days per year
Productivity losses*
53
$  M
Value at risk*
1086
$  M
Avg. failure risk*
58
%
FTEs unblocked**
40177
days  per year
Producitivity gains**
20
$  M
Risk reduction**
391
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
350794
days per year
Productivity losses*
171
$  M
Value at risk*
962
$  M
Avg. failure risk*
58
%
FTEs unblocked**
129794
days  per year
Producitivity gains**
63
$  M
Risk reduction**
346
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
321041
days per year
Productivity losses*
156
$  M
Value at risk*
975
$  M
Avg. failure risk*
58
%
FTEs unblocked**
118785
days  per year
Producitivity gains**
58
$  M
Risk reduction**
351
$  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*
1769354
days per year
Productivity losses*
861
$  M
Value at risk*
231
$  M
Avg. failure risk*
58
%
FTEs unblocked**
654661
days  per year
Producitivity gains**
318
$  M
Risk reduction**
83
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
655680
days per year
Productivity losses*
319
$  M
Value at risk*
780
$  M
Avg. failure risk*
58
%
FTEs unblocked**
242601
days  per year
Producitivity gains**
118
$  M
Risk reduction**
281
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
2207954
days per year
Productivity losses*
1074
$  M
Value at risk*
0
$  M
Avg. failure risk*
58
%
FTEs unblocked**
816943
days  per year
Producitivity gains**
397
$  M
Risk reduction**
0
$  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.

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