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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
Healthcare
FTE days lost*
216325
days per year
Productivity losses*
105
$  M
Value at risk*
353
$  M
Avg. failure risk*
58
%
FTEs unblocked**
80040
days  per year
Producitivity gains**
39
$  M
Risk reduction**
127
$  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*
216665
days per year
Productivity losses*
105
$  M
Value at risk*
353
$  M
Avg. failure risk*
58
%
FTEs unblocked**
80166
days  per year
Producitivity gains**
39
$  M
Risk reduction**
127
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Financial Services
FTE days lost*
14569
days per year
Productivity losses*
7
$  M
Value at risk*
446
$  M
Avg. failure risk*
58
%
FTEs unblocked**
5390
days  per year
Producitivity gains**
3
$  M
Risk reduction**
160
$  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*
49572
days per year
Productivity losses*
24
$  M
Value at risk*
421
$  M
Avg. failure risk*
58
%
FTEs unblocked**
18341
days  per year
Producitivity gains**
9
$  M
Risk reduction**
152
$  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*
434350
days per year
Productivity losses*
211
$  M
Value at risk*
216
$  M
Avg. failure risk*
58
%
FTEs unblocked**
160709
days  per year
Producitivity gains**
78
$  M
Risk reduction**
78
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
373758
days per year
Productivity losses*
182
$  M
Value at risk*
245
$  M
Avg. failure risk*
58
%
FTEs unblocked**
138290
days  per year
Producitivity gains**
67
$  M
Risk reduction**
88
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
592321
days per year
Productivity losses*
288
$  M
Value at risk*
135
$  M
Avg. failure risk*
58
%
FTEs unblocked**
219159
days  per year
Producitivity gains**
107
$  M
Risk reduction**
49
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
520276
days per year
Productivity losses*
253
$  M
Value at risk*
169
$  M
Avg. failure risk*
58
%
FTEs unblocked**
192502
days  per year
Producitivity gains**
94
$  M
Risk reduction**
61
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
420186
days per year
Productivity losses*
204
$  M
Value at risk*
219
$  M
Avg. failure risk*
58
%
FTEs unblocked**
155469
days  per year
Producitivity gains**
76
$  M
Risk reduction**
79
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
236060
days per year
Productivity losses*
115
$  M
Value at risk*
310
$  M
Avg. failure risk*
58
%
FTEs unblocked**
87342
days  per year
Producitivity gains**
42
$  M
Risk reduction**
111
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
283272
days per year
Productivity losses*
138
$  M
Value at risk*
283
$  M
Avg. failure risk*
58
%
FTEs unblocked**
104810
days  per year
Producitivity gains**
51
$  M
Risk reduction**
102
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
185071
days per year
Productivity losses*
90
$  M
Value at risk*
328
$  M
Avg. failure risk*
58
%
FTEs unblocked**
68476
days  per year
Producitivity gains**
33
$  M
Risk reduction**
118
$  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*
62319
days per year
Productivity losses*
30
$  M
Value at risk*
380
$  M
Avg. failure risk*
58
%
FTEs unblocked**
23058
days  per year
Producitivity gains**
11
$  M
Risk reduction**
137
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
182238
days per year
Productivity losses*
89
$  M
Value at risk*
309
$  M
Avg. failure risk*
58
%
FTEs unblocked**
67428
days  per year
Producitivity gains**
33
$  M
Risk reduction**
111
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
472120
days per year
Productivity losses*
230
$  M
Value at risk*
161
$  M
Avg. failure risk*
58
%
FTEs unblocked**
174684
days  per year
Producitivity gains**
85
$  M
Risk reduction**
58
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
38685
days per year
Productivity losses*
19
$  M
Value at risk*
374
$  M
Avg. failure risk*
58
%
FTEs unblocked**
14313
days  per year
Producitivity gains**
7
$  M
Risk reduction**
135
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
80505
days per year
Productivity losses*
39
$  M
Value at risk*
352
$  M
Avg. failure risk*
58
%
FTEs unblocked**
29787
days  per year
Producitivity gains**
14
$  M
Risk reduction**
127
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
67654
days per year
Productivity losses*
33
$  M
Value at risk*
357
$  M
Avg. failure risk*
58
%
FTEs unblocked**
25032
days  per year
Producitivity gains**
12
$  M
Risk reduction**
128
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
424907
days per year
Productivity losses*
207
$  M
Value at risk*
177
$  M
Avg. failure risk*
58
%
FTEs unblocked**
157215
days  per year
Producitivity gains**
76
$  M
Risk reduction**
64
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
135970
days per year
Productivity losses*
66
$  M
Value at risk*
321
$  M
Avg. failure risk*
58
%
FTEs unblocked**
50309
days  per year
Producitivity gains**
24
$  M
Risk reduction**
115
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
434350
days per year
Productivity losses*
211
$  M
Value at risk*
171
$  M
Avg. failure risk*
58
%
FTEs unblocked**
160709
days  per year
Producitivity gains**
78
$  M
Risk reduction**
61
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
283272
days per year
Productivity losses*
138
$  M
Value at risk*
245
$  M
Avg. failure risk*
58
%
FTEs unblocked**
104810
days  per year
Producitivity gains**
51
$  M
Risk reduction**
88
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
254944
days per year
Productivity losses*
124
$  M
Value at risk*
259
$  M
Avg. failure risk*
58
%
FTEs unblocked**
94329
days  per year
Producitivity gains**
46
$  M
Risk reduction**
93
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
61375
days per year
Productivity losses*
30
$  M
Value at risk*
350
$  M
Avg. failure risk*
58
%
FTEs unblocked**
22708
days  per year
Producitivity gains**
11
$  M
Risk reduction**
126
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Communication Services
FTE days lost*
231338
days per year
Productivity losses*
113
$  M
Value at risk*
263
$  M
Avg. failure risk*
58
%
FTEs unblocked**
85595
days  per year
Producitivity gains**
42
$  M
Risk reduction**
95
$  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
OEM Partnership
Opportunity Selection
Stock Selection
Project Financing Structuring
Deal Structure Optimization
Carve out
Transformation Initiative Priorization
Buy Side Advisory
Option Pricing
Capital Allocation Optimization
R&D Partnership
CapEx Investment
Make-or-buy - purchasing
Acquisition-financing
Joint Venture
Internationalization
R&D Portfolio Optimization
Technology scouting
Country Index Allocation
Market Risk Monitoring
Sell-side advisory
Strategy Selection
Bid Strategy Optimization
CapEx Initiative Priorization
Business Case Valuation
Asset Sale
Credit Risk Monitoring
Portfolio Allocation Optimization
Private Equity Portfolio Allocation
Financial Planning
Platform Ecosystem
Market Entry
Working Capital Optimization
Transformation Portfolio Risk Monitoring
Acquisition
R&D Investment
Private Equity Portfolio Monitoring
Asset Acquisition
Investor Sourcing
Supplier Sourcing
Performance Monitoring
Stock Investment
Buyer Screening
Merger
Risk Monitoring
Price Target
R&D Portfolio Risk Monitoring
OEM (Customer) Screening
Strategic Alliance
R&D Initiative Priorization
Cloud strategy
Investment
Asset Valuation
Initiative Portfolio Performance Monitoring
R&D Portfolio Performance Monitoring
Asset Portfolio Risk Monitoring
Enterprise Capital Allocation
Fairness Opinion
Business Unit Performance Monitoring
Make-or-acquire
IPO Structure Optimization
LBO Financing
Asset Price Optimization
Business Unit Risk Monitoring
Corporate Venture Capital Investment
Divestiture
Earnings Optimization
Sell-side Avisory Opportunity
Investment Target Screening
Partner Screening
Venture Capital Investment
Portfolio Risk monitoring
Business Portfolio Optimization
ETF Allocation
Capital Structure Optimization
Enterprise Value Optimization
Spin Off
Hedge Fund Portfolio Monitoring
Budgeting
Value Optimization
Initiative Portfolio Risk Monitoring
Take-Privat
Enterprise Valuation
Equity Investment
Entry
Acquisition Target Screening
Market Index Monitoring
Component Sourcing Strategy
Exit Strategy Evaluation
Debt Restructuring
Earnings Allocation
Hedge Fund Portfolio Allocation
Secondary Buyout (SBO)
Infrastructure Investment
Market Index 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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