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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
Industrials
FTE days lost*
868700
days per year
Productivity losses*
423
$  M
Value at risk*
2379
$  M
Avg. failure risk*
58
%
FTEs unblocked**
321419
days  per year
Producitivity gains**
156
$  M
Risk reduction**
857
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
1227511
days per year
Productivity losses*
597
$  M
Value at risk*
2177
$  M
Avg. failure risk*
58
%
FTEs unblocked**
454179
days  per year
Producitivity gains**
221
$  M
Risk reduction**
784
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
377696
days per year
Productivity losses*
184
$  M
Value at risk*
2576
$  M
Avg. failure risk*
58
%
FTEs unblocked**
139747
days  per year
Producitivity gains**
68
$  M
Risk reduction**
927
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
3106549
days per year
Productivity losses*
1511
$  M
Value at risk*
1212
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1149423
days  per year
Producitivity gains**
559
$  M
Risk reduction**
436
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
2832720
days per year
Productivity losses*
1378
$  M
Value at risk*
1346
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1048106
days  per year
Producitivity gains**
510
$  M
Risk reduction**
484
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Communication Services
FTE days lost*
354090
days per year
Productivity losses*
172
$  M
Value at risk*
2570
$  M
Avg. failure risk*
58
%
FTEs unblocked**
131013
days  per year
Producitivity gains**
64
$  M
Risk reduction**
925
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
311599
days per year
Productivity losses*
152
$  M
Value at risk*
2591
$  M
Avg. failure risk*
58
%
FTEs unblocked**
115291
days  per year
Producitivity gains**
56
$  M
Risk reduction**
933
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
113138
days per year
Productivity losses*
55
$  M
Value at risk*
2690
$  M
Avg. failure risk*
58
%
FTEs unblocked**
41861
days  per year
Producitivity gains**
20
$  M
Risk reduction**
968
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Energy
FTE days lost*
14824
days per year
Productivity losses*
7
$  M
Value at risk*
2677
$  M
Avg. failure risk*
58
%
FTEs unblocked**
5485
days  per year
Producitivity gains**
3
$  M
Risk reduction**
964
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
11-50
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Real Estate
FTE days lost*
217
days per year
Productivity losses*
0
$  M
Value at risk*
2654
$  M
Avg. failure risk*
58
%
FTEs unblocked**
80
days  per year
Producitivity gains**
0
$  M
Risk reduction**
956
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
673233
days per year
Productivity losses*
327
$  M
Value at risk*
2301
$  M
Avg. failure risk*
58
%
FTEs unblocked**
249096
days  per year
Producitivity gains**
121
$  M
Risk reduction**
829
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Communication Services
FTE days lost*
109342
days per year
Productivity losses*
53
$  M
Value at risk*
2556
$  M
Avg. failure risk*
58
%
FTEs unblocked**
40456
days  per year
Producitivity gains**
20
$  M
Risk reduction**
920
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
149189
days per year
Productivity losses*
73
$  M
Value at risk*
2523
$  M
Avg. failure risk*
58
%
FTEs unblocked**
55200
days  per year
Producitivity gains**
27
$  M
Risk reduction**
908
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
135205
days per year
Productivity losses*
66
$  M
Value at risk*
2455
$  M
Avg. failure risk*
58
%
FTEs unblocked**
50026
days  per year
Producitivity gains**
24
$  M
Risk reduction**
884
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
1251118
days per year
Productivity losses*
609
$  M
Value at risk*
1872
$  M
Avg. failure risk*
58
%
FTEs unblocked**
462913
days  per year
Producitivity gains**
225
$  M
Risk reduction**
674
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
325762
days per year
Productivity losses*
158
$  M
Value at risk*
2319
$  M
Avg. failure risk*
58
%
FTEs unblocked**
120532
days  per year
Producitivity gains**
59
$  M
Risk reduction**
835
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
94424
days per year
Productivity losses*
46
$  M
Value at risk*
2427
$  M
Avg. failure risk*
58
%
FTEs unblocked**
34936
days  per year
Producitivity gains**
17
$  M
Risk reduction**
874
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
282327
days per year
Productivity losses*
137
$  M
Value at risk*
2296
$  M
Avg. failure risk*
58
%
FTEs unblocked**
104461
days  per year
Producitivity gains**
51
$  M
Risk reduction**
827
$  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*
2419
$  M
Avg. failure risk*
58
%
FTEs unblocked**
9957
days  per year
Producitivity gains**
5
$  M
Risk reduction**
871
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
745949
days per year
Productivity losses*
363
$  M
Value at risk*
2050
$  M
Avg. failure risk*
58
%
FTEs unblocked**
276001
days  per year
Producitivity gains**
134
$  M
Risk reduction**
738
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
575986
days per year
Productivity losses*
280
$  M
Value at risk*
2114
$  M
Avg. failure risk*
58
%
FTEs unblocked**
213114
days  per year
Producitivity gains**
104
$  M
Risk reduction**
761
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
374485
days per year
Productivity losses*
182
$  M
Value at risk*
2209
$  M
Avg. failure risk*
58
%
FTEs unblocked**
138559
days  per year
Producitivity gains**
67
$  M
Risk reduction**
795
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
934797
days per year
Productivity losses*
455
$  M
Value at risk*
1883
$  M
Avg. failure risk*
58
%
FTEs unblocked**
345875
days  per year
Producitivity gains**
168
$  M
Risk reduction**
678
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
633585
days per year
Productivity losses*
308
$  M
Value at risk*
2021
$  M
Avg. failure risk*
58
%
FTEs unblocked**
234426
days  per year
Producitivity gains**
114
$  M
Risk reduction**
727
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Communication Services
FTE days lost*
120862
days per year
Productivity losses*
59
$  M
Value at risk*
2248
$  M
Avg. failure risk*
58
%
FTEs unblocked**
44719
days  per year
Producitivity gains**
22
$  M
Risk reduction**
809
$  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
Joint Venture
Investor Sourcing
Component Sourcing Strategy
Market Index Allocation
Make-or-buy - purchasing
Sell-side advisory
Price Target
CapEx Initiative Priorization
Opportunity Selection
Acquisition-financing
Enterprise Value Optimization
Asset Valuation
Strategic Alliance
Business Portfolio Optimization
Acquisition Target Screening
OEM Partnership
Fairness Opinion
Risk Monitoring
Investment
Spin Off
Option Pricing
Asset Sale
Partner Screening
Merger
Private Equity Portfolio Allocation
Enterprise Valuation
Make-or-acquire
Performance Monitoring
Credit Risk Monitoring
Buyer Screening
R&D Investment
R&D Portfolio Performance Monitoring
Carve out
Secondary Buyout (SBO)
Capital Allocation Optimization
Asset Portfolio Risk Monitoring
Internationalization
Acquisition
Platform Ecosystem
Project Financing Structuring
Private Equity Portfolio Monitoring
Enterprise Capital Allocation
Divestiture
Exit Strategy Evaluation
Initiative Portfolio Risk Monitoring
Cloud strategy
R&D Portfolio Risk Monitoring
ETF Allocation
CapEx Investment
Hedge Fund Portfolio Monitoring
Market Index Monitoring
Transformation Portfolio Risk Monitoring
Asset Price Optimization
Supplier Sourcing
Hedge Fund Portfolio Allocation
R&D Portfolio Optimization
Infrastructure Investment
Initiative Portfolio Performance Monitoring
Take-Privat
Market Entry
Business Unit Risk Monitoring
Budgeting
IPO Structure Optimization
Stock Selection
Asset Acquisition
Technology scouting
Bid Strategy Optimization
Working Capital Optimization
Buy Side Advisory
Sell-side Avisory Opportunity
Value Optimization
Earnings Allocation
Stock Investment
Corporate Venture Capital Investment
Financial Planning
R&D Partnership
Capital Structure Optimization
Business Unit Performance Monitoring
Country Index Allocation
Business Case Valuation
Strategy Selection
Portfolio Allocation Optimization
Portfolio Risk monitoring
Market Risk Monitoring
Entry
R&D Initiative Priorization
Debt Restructuring
OEM (Customer) Screening
Earnings Optimization
Venture Capital Investment
Transformation Initiative Priorization
Deal Structure Optimization
Investment Target Screening
LBO Financing
Equity Investment
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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