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Still wondering what your company or your competitors lose by making management decisions the outdated way?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 &
rollout
Decision optimzation system

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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.

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