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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
Basic Materials
FTE days lost*
113063
days per year
Productivity losses*
55
$  M
Value at risk*
633
$  M
Avg. failure risk*
58
%
FTEs unblocked**
41833
days  per year
Producitivity gains**
20
$  M
Risk reduction**
228
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
139747
days per year
Productivity losses*
68
$  M
Value at risk*
614
$  M
Avg. failure risk*
58
%
FTEs unblocked**
51706
days  per year
Producitivity gains**
25
$  M
Risk reduction**
221
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Consumer Defensive
FTE days lost*
264387
days per year
Productivity losses*
129
$  M
Value at risk*
539
$  M
Avg. failure risk*
58
%
FTEs unblocked**
97823
days  per year
Producitivity gains**
48
$  M
Risk reduction**
194
$  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*
101033
days per year
Productivity losses*
49
$  M
Value at risk*
617
$  M
Avg. failure risk*
58
%
FTEs unblocked**
37382
days  per year
Producitivity gains**
18
$  M
Risk reduction**
222
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Micro-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
387138
days per year
Productivity losses*
188
$  M
Value at risk*
473
$  M
Avg. failure risk*
58
%
FTEs unblocked**
143241
days  per year
Producitivity gains**
70
$  M
Risk reduction**
170
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
509889
days per year
Productivity losses*
248
$  M
Value at risk*
411
$  M
Avg. failure risk*
58
%
FTEs unblocked**
188659
days  per year
Producitivity gains**
92
$  M
Risk reduction**
148
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
424907
days per year
Productivity losses*
207
$  M
Value at risk*
445
$  M
Avg. failure risk*
58
%
FTEs unblocked**
157215
days  per year
Producitivity gains**
76
$  M
Risk reduction**
160
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
386194
days per year
Productivity losses*
188
$  M
Value at risk*
458
$  M
Avg. failure risk*
58
%
FTEs unblocked**
142891
days  per year
Producitivity gains**
70
$  M
Risk reduction**
165
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
594871
days per year
Productivity losses*
289
$  M
Value at risk*
350
$  M
Avg. failure risk*
58
%
FTEs unblocked**
220102
days  per year
Producitivity gains**
107
$  M
Risk reduction**
126
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
424907
days per year
Productivity losses*
207
$  M
Value at risk*
432
$  M
Avg. failure risk*
58
%
FTEs unblocked**
157215
days  per year
Producitivity gains**
76
$  M
Risk reduction**
155
$  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*
23606
days per year
Productivity losses*
11
$  M
Value at risk*
632
$  M
Avg. failure risk*
58
%
FTEs unblocked**
8734
days  per year
Producitivity gains**
4
$  M
Risk reduction**
227
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
94424
days per year
Productivity losses*
46
$  M
Value at risk*
593
$  M
Avg. failure risk*
58
%
FTEs unblocked**
34936
days  per year
Producitivity gains**
17
$  M
Risk reduction**
213
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
443792
days per year
Productivity losses*
216
$  M
Value at risk*
418
$  M
Avg. failure risk*
58
%
FTEs unblocked**
164203
days  per year
Producitivity gains**
80
$  M
Risk reduction**
150
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
116141
days per year
Productivity losses*
56
$  M
Value at risk*
573
$  M
Avg. failure risk*
58
%
FTEs unblocked**
42972
days  per year
Producitivity gains**
21
$  M
Risk reduction**
206
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
446625
days per year
Productivity losses*
217
$  M
Value at risk*
407
$  M
Avg. failure risk*
58
%
FTEs unblocked**
165251
days  per year
Producitivity gains**
80
$  M
Risk reduction**
147
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
403077
days per year
Productivity losses*
196
$  M
Value at risk*
426
$  M
Avg. failure risk*
58
%
FTEs unblocked**
149138
days  per year
Producitivity gains**
73
$  M
Risk reduction**
153
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
177517
days per year
Productivity losses*
86
$  M
Value at risk*
534
$  M
Avg. failure risk*
58
%
FTEs unblocked**
65681
days  per year
Producitivity gains**
32
$  M
Risk reduction**
192
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
132193
days per year
Productivity losses*
64
$  M
Value at risk*
557
$  M
Avg. failure risk*
58
%
FTEs unblocked**
48911
days  per year
Producitivity gains**
24
$  M
Risk reduction**
200
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
566544
days per year
Productivity losses*
276
$  M
Value at risk*
326
$  M
Avg. failure risk*
58
%
FTEs unblocked**
209621
days  per year
Producitivity gains**
102
$  M
Risk reduction**
117
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
26910
days per year
Productivity losses*
13
$  M
Value at risk*
588
$  M
Avg. failure risk*
58
%
FTEs unblocked**
9957
days  per year
Producitivity gains**
5
$  M
Risk reduction**
212
$  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*
83735
days per year
Productivity losses*
41
$  M
Value at risk*
559
$  M
Avg. failure risk*
58
%
FTEs unblocked**
30982
days  per year
Producitivity gains**
15
$  M
Risk reduction**
201
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
113780
days per year
Productivity losses*
55
$  M
Value at risk*
516
$  M
Avg. failure risk*
58
%
FTEs unblocked**
42098
days  per year
Producitivity gains**
20
$  M
Risk reduction**
186
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
424907
days per year
Productivity losses*
207
$  M
Value at risk*
358
$  M
Avg. failure risk*
58
%
FTEs unblocked**
157215
days  per year
Producitivity gains**
76
$  M
Risk reduction**
129
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
77295
days per year
Productivity losses*
38
$  M
Value at risk*
528
$  M
Avg. failure risk*
58
%
FTEs unblocked**
28599
days  per year
Producitivity gains**
14
$  M
Risk reduction**
190
$  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*
34105
days per year
Productivity losses*
17
$  M
Value at risk*
540
$  M
Avg. failure risk*
58
%
FTEs unblocked**
12619
days  per year
Producitivity gains**
6
$  M
Risk reduction**
194
$  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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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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Financial Planning
IPO Structure Optimization
Internationalization
Asset Acquisition
Business Unit Risk Monitoring
Entry
CapEx Investment
Earnings Optimization
Strategic Alliance
Risk Monitoring
Debt Restructuring
Credit Risk Monitoring
Hedge Fund Portfolio Allocation
Acquisition Target Screening
Component Sourcing Strategy
Option Pricing
Opportunity Selection
Sell-side advisory
Working Capital Optimization
Asset Valuation
R&D Initiative Priorization
Fairness Opinion
Initiative Portfolio Risk Monitoring
Transformation Portfolio Risk Monitoring
Corporate Venture Capital Investment
Buy Side Advisory
Market Index Allocation
Private Equity Portfolio Allocation
Country Index Allocation
Earnings Allocation
OEM Partnership
Capital Allocation Optimization
Divestiture
Technology scouting
Asset Portfolio Risk Monitoring
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Investment
Make-or-acquire
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Take-Privat
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Make-or-buy - purchasing
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Stock Investment
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Spin Off
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Secondary Buyout (SBO)
Carve out
LBO Financing
OEM (Customer) Screening
Enterprise Value Optimization
Strategy Selection
Acquisition-financing
Portfolio Allocation Optimization
Investor Sourcing
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Business Unit Performance Monitoring
Performance Monitoring
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CapEx Initiative Priorization
Investment Target Screening
Joint Venture
Platform Ecosystem
Enterprise Valuation
R&D Partnership
R&D Portfolio Risk Monitoring
Buyer Screening
Enterprise Capital Allocation
Asset Sale
Hedge Fund Portfolio Monitoring
Transformation Initiative Priorization
Venture Capital Investment
Exit Strategy Evaluation
Supplier Sourcing
Market Risk Monitoring
Budgeting
Value Optimization
R&D Portfolio Optimization
Cloud strategy
Portfolio Risk monitoring
Infrastructure Investment
R&D Investment
Partner Screening
Merger
Market Entry
R&D Portfolio Performance Monitoring
Business Case Valuation
Price Target
Market Index Monitoring
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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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