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Still wondering what your company or your competitors lose by making management decisions the outdated way?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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Showing
10
out of
100
items
Company
losses*
opportunity**
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
727064
days per year
Productivity losses*
354
$  M
Value at risk*
7109
$  M
Avg. failure risk*
58
%
FTEs unblocked**
269013
days  per year
Producitivity gains**
131
$  M
Risk reduction**
2559
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
217175
days per year
Productivity losses*
106
$  M
Value at risk*
7093
$  M
Avg. failure risk*
58
%
FTEs unblocked**
80354
days  per year
Producitivity gains**
39
$  M
Risk reduction**
2554
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
2722243
days per year
Productivity losses*
1324
$  M
Value at risk*
5512
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1007230
days  per year
Producitivity gains**
490
$  M
Risk reduction**
1984
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
263055
days per year
Productivity losses*
128
$  M
Value at risk*
6623
$  M
Avg. failure risk*
58
%
FTEs unblocked**
97330
days  per year
Producitivity gains**
47
$  M
Risk reduction**
2384
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Basic Materials
FTE days lost*
125234
days per year
Productivity losses*
61
$  M
Value at risk*
6494
$  M
Avg. failure risk*
58
%
FTEs unblocked**
46336
days  per year
Producitivity gains**
23
$  M
Risk reduction**
2338
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
1207258
days per year
Productivity losses*
587
$  M
Value at risk*
5943
$  M
Avg. failure risk*
58
%
FTEs unblocked**
446685
days  per year
Producitivity gains**
217
$  M
Risk reduction**
2140
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
2974356
days per year
Productivity losses*
1447
$  M
Value at risk*
4547
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1100511
days  per year
Producitivity gains**
535
$  M
Risk reduction**
1637
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
368253
days per year
Productivity losses*
179
$  M
Value at risk*
5801
$  M
Avg. failure risk*
58
%
FTEs unblocked**
136253
days  per year
Producitivity gains**
66
$  M
Risk reduction**
2088
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
91591
days per year
Productivity losses*
45
$  M
Value at risk*
5927
$  M
Avg. failure risk*
58
%
FTEs unblocked**
33888
days  per year
Producitivity gains**
16
$  M
Risk reduction**
2134
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
6911836
days per year
Productivity losses*
3362
$  M
Value at risk*
2478
$  M
Avg. failure risk*
58
%
FTEs unblocked**
2557379
days  per year
Producitivity gains**
1244
$  M
Risk reduction**
892
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
144468
days per year
Productivity losses*
70
$  M
Value at risk*
5650
$  M
Avg. failure risk*
58
%
FTEs unblocked**
53453
days  per year
Producitivity gains**
26
$  M
Risk reduction**
2034
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
245596
days per year
Productivity losses*
119
$  M
Value at risk*
5559
$  M
Avg. failure risk*
58
%
FTEs unblocked**
90870
days  per year
Producitivity gains**
44
$  M
Risk reduction**
2001
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Communication Services
FTE days lost*
960292
days per year
Productivity losses*
467
$  M
Value at risk*
5117
$  M
Avg. failure risk*
58
%
FTEs unblocked**
355308
days  per year
Producitivity gains**
173
$  M
Risk reduction**
1842
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
3097107
days per year
Productivity losses*
1506
$  M
Value at risk*
3923
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1145929
days  per year
Producitivity gains**
557
$  M
Risk reduction**
1412
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
801659
days per year
Productivity losses*
390
$  M
Value at risk*
5047
$  M
Avg. failure risk*
58
%
FTEs unblocked**
296614
days  per year
Producitivity gains**
144
$  M
Risk reduction**
1817
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
237948
days per year
Productivity losses*
116
$  M
Value at risk*
5276
$  M
Avg. failure risk*
58
%
FTEs unblocked**
88040
days  per year
Producitivity gains**
43
$  M
Risk reduction**
1899
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
1624092
days per year
Productivity losses*
790
$  M
Value at risk*
4444
$  M
Avg. failure risk*
58
%
FTEs unblocked**
600914
days  per year
Producitivity gains**
292
$  M
Risk reduction**
1600
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
1633535
days per year
Productivity losses*
794
$  M
Value at risk*
4150
$  M
Avg. failure risk*
58
%
FTEs unblocked**
604408
days  per year
Producitivity gains**
294
$  M
Risk reduction**
1494
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
258938
days per year
Productivity losses*
126
$  M
Value at risk*
4755
$  M
Avg. failure risk*
58
%
FTEs unblocked**
95807
days  per year
Producitivity gains**
47
$  M
Risk reduction**
1712
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
171851
days per year
Productivity losses*
84
$  M
Value at risk*
4790
$  M
Avg. failure risk*
58
%
FTEs unblocked**
63585
days  per year
Producitivity gains**
31
$  M
Risk reduction**
1724
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
472120
days per year
Productivity losses*
230
$  M
Value at risk*
4639
$  M
Avg. failure risk*
58
%
FTEs unblocked**
174684
days  per year
Producitivity gains**
85
$  M
Risk reduction**
1670
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
162409
days per year
Productivity losses*
79
$  M
Value at risk*
4714
$  M
Avg. failure risk*
58
%
FTEs unblocked**
60091
days  per year
Producitivity gains**
29
$  M
Risk reduction**
1697
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
160275
days per year
Productivity losses*
78
$  M
Value at risk*
4628
$  M
Avg. failure risk*
58
%
FTEs unblocked**
59301
days  per year
Producitivity gains**
29
$  M
Risk reduction**
1666
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
321041
days per year
Productivity losses*
156
$  M
Value at risk*
4533
$  M
Avg. failure risk*
58
%
FTEs unblocked**
118785
days  per year
Producitivity gains**
58
$  M
Risk reduction**
1632
$  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*
4197
$  M
Avg. failure risk*
58
%
FTEs unblocked**
331900
days  per year
Producitivity gains**
161
$  M
Risk reduction**
1511
$  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
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Go Live &
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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.

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