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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
$10B+
Sector
Technology
FTE days lost*
387138
days per year
Productivity losses*
188
$  M
Value at risk*
1288
$  M
Avg. failure risk*
58
%
FTEs unblocked**
143241
days  per year
Producitivity gains**
70
$  M
Risk reduction**
464
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
214342
days per year
Productivity losses*
104
$  M
Value at risk*
1369
$  M
Avg. failure risk*
58
%
FTEs unblocked**
79306
days  per year
Producitivity gains**
39
$  M
Risk reduction**
493
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
778997
days per year
Productivity losses*
379
$  M
Value at risk*
1084
$  M
Avg. failure risk*
58
%
FTEs unblocked**
288229
days  per year
Producitivity gains**
140
$  M
Risk reduction**
390
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
679852
days per year
Productivity losses*
331
$  M
Value at risk*
1110
$  M
Avg. failure risk*
58
%
FTEs unblocked**
251545
days  per year
Producitivity gains**
122
$  M
Risk reduction**
400
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
729897
days per year
Productivity losses*
355
$  M
Value at risk*
1085
$  M
Avg. failure risk*
58
%
FTEs unblocked**
270062
days  per year
Producitivity gains**
131
$  M
Risk reduction**
390
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Utilities
FTE days lost*
45238
days per year
Productivity losses*
22
$  M
Value at risk*
1418
$  M
Avg. failure risk*
58
%
FTEs unblocked**
16738
days  per year
Producitivity gains**
8
$  M
Risk reduction**
510
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$10B+
Sector
Real Estate
FTE days lost*
60346
days per year
Productivity losses*
29
$  M
Value at risk*
1405
$  M
Avg. failure risk*
58
%
FTEs unblocked**
22328
days  per year
Producitivity gains**
11
$  M
Risk reduction**
506
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
547659
days per year
Productivity losses*
266
$  M
Value at risk*
1153
$  M
Avg. failure risk*
58
%
FTEs unblocked**
202633
days  per year
Producitivity gains**
99
$  M
Risk reduction**
415
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
868700
days per year
Productivity losses*
423
$  M
Value at risk*
989
$  M
Avg. failure risk*
58
%
FTEs unblocked**
321419
days  per year
Producitivity gains**
156
$  M
Risk reduction**
356
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
2833343
days per year
Productivity losses*
1378
$  M
Value at risk*
0
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1048336
days  per year
Producitivity gains**
510
$  M
Risk reduction**
0
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
122751
days per year
Productivity losses*
60
$  M
Value at risk*
1345
$  M
Avg. failure risk*
58
%
FTEs unblocked**
45417
days  per year
Producitivity gains**
22
$  M
Risk reduction**
484
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
179405
days per year
Productivity losses*
87
$  M
Value at risk*
1300
$  M
Avg. failure risk*
58
%
FTEs unblocked**
66380
days  per year
Producitivity gains**
32
$  M
Risk reduction**
468
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
232283
days per year
Productivity losses*
113
$  M
Value at risk*
1264
$  M
Avg. failure risk*
58
%
FTEs unblocked**
85944
days  per year
Producitivity gains**
42
$  M
Risk reduction**
455
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
188848
days per year
Productivity losses*
92
$  M
Value at risk*
1283
$  M
Avg. failure risk*
58
%
FTEs unblocked**
69873
days  per year
Producitivity gains**
34
$  M
Risk reduction**
462
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
162409
days per year
Productivity losses*
79
$  M
Value at risk*
1247
$  M
Avg. failure risk*
58
%
FTEs unblocked**
60091
days  per year
Producitivity gains**
29
$  M
Risk reduction**
449
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$10B+
Sector
Communication Services
FTE days lost*
236060
days per year
Productivity losses*
115
$  M
Value at risk*
1201
$  M
Avg. failure risk*
58
%
FTEs unblocked**
87342
days  per year
Producitivity gains**
42
$  M
Risk reduction**
432
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Utilities
FTE days lost*
67201
days per year
Productivity losses*
33
$  M
Value at risk*
1278
$  M
Avg. failure risk*
58
%
FTEs unblocked**
24864
days  per year
Producitivity gains**
12
$  M
Risk reduction**
460
$  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*
32217
days per year
Productivity losses*
16
$  M
Value at risk*
1291
$  M
Avg. failure risk*
58
%
FTEs unblocked**
11920
days  per year
Producitivity gains**
6
$  M
Risk reduction**
465
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
502335
days per year
Productivity losses*
244
$  M
Value at risk*
1039
$  M
Avg. failure risk*
58
%
FTEs unblocked**
185864
days  per year
Producitivity gains**
90
$  M
Risk reduction**
374
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
897027
days per year
Productivity losses*
436
$  M
Value at risk*
832
$  M
Avg. failure risk*
58
%
FTEs unblocked**
331900
days  per year
Producitivity gains**
161
$  M
Risk reduction**
300
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Utilities
FTE days lost*
42604
days per year
Productivity losses*
21
$  M
Value at risk*
1257
$  M
Avg. failure risk*
58
%
FTEs unblocked**
15763
days  per year
Producitivity gains**
8
$  M
Risk reduction**
452
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
99381
days per year
Productivity losses*
48
$  M
Value at risk*
1223
$  M
Avg. failure risk*
58
%
FTEs unblocked**
36771
days  per year
Producitivity gains**
18
$  M
Risk reduction**
440
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
182238
days per year
Productivity losses*
89
$  M
Value at risk*
1170
$  M
Avg. failure risk*
58
%
FTEs unblocked**
67428
days  per year
Producitivity gains**
33
$  M
Risk reduction**
421
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
607769
days per year
Productivity losses*
296
$  M
Value at risk*
956
$  M
Avg. failure risk*
58
%
FTEs unblocked**
224874
days  per year
Producitivity gains**
109
$  M
Risk reduction**
344
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
292714
days per year
Productivity losses*
142
$  M
Value at risk*
1100
$  M
Avg. failure risk*
58
%
FTEs unblocked**
108304
days  per year
Producitivity gains**
53
$  M
Risk reduction**
396
$  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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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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Hedge Fund Portfolio Allocation
Initiative Portfolio Performance Monitoring
Asset Valuation
Private Equity Portfolio Monitoring
Performance Monitoring
Make-or-buy - purchasing
Project Financing Structuring
R&D Initiative Priorization
Enterprise Valuation
R&D Portfolio Optimization
Stock Investment
Secondary Buyout (SBO)
Business Unit Risk Monitoring
R&D Portfolio Performance Monitoring
Market Risk Monitoring
Market Index Allocation
R&D Portfolio Risk Monitoring
OEM (Customer) Screening
ETF Allocation
Spin Off
Strategy Selection
Acquisition Target Screening
Carve out
Capital Structure Optimization
Partner Screening
Infrastructure Investment
Sell-side Avisory Opportunity
Country Index Allocation
Transformation Portfolio Risk Monitoring
Initiative Portfolio Risk Monitoring
Buy Side Advisory
Business Unit Performance Monitoring
LBO Financing
Joint Venture
IPO Structure Optimization
Enterprise Value Optimization
OEM Partnership
Investment
Budgeting
Internationalization
Strategic Alliance
Opportunity Selection
Debt Restructuring
Business Case Valuation
Working Capital Optimization
Earnings Optimization
Venture Capital Investment
Hedge Fund Portfolio Monitoring
Enterprise Capital Allocation
Asset Sale
CapEx Investment
Component Sourcing Strategy
Make-or-acquire
Earnings Allocation
Price Target
Buyer Screening
Acquisition
Investment Target Screening
Supplier Sourcing
Technology scouting
Portfolio Risk monitoring
Market Index Monitoring
Deal Structure Optimization
Sell-side advisory
R&D Investment
Market Entry
Platform Ecosystem
Divestiture
Merger
Entry
Acquisition-financing
Asset Acquisition
Portfolio Allocation Optimization
Risk Monitoring
Asset Portfolio Risk Monitoring
Business Portfolio Optimization
Asset Price Optimization
Private Equity Portfolio Allocation
Transformation Initiative Priorization
R&D Partnership
Equity Investment
Corporate Venture Capital Investment
Investor Sourcing
Cloud strategy
Bid Strategy Optimization
Value Optimization
Exit Strategy Evaluation
Fairness Opinion
Option Pricing
CapEx Initiative Priorization
Credit Risk Monitoring
Stock Selection
Take-Privat
Financial Planning
Capital Allocation Optimization
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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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