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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
Mid-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
218497
days per year
Productivity losses*
106
$  M
Value at risk*
969
$  M
Avg. failure risk*
58
%
FTEs unblocked**
80843
days  per year
Producitivity gains**
39
$  M
Risk reduction**
349
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
106226
days per year
Productivity losses*
52
$  M
Value at risk*
1020
$  M
Avg. failure risk*
58
%
FTEs unblocked**
39303
days  per year
Producitivity gains**
19
$  M
Risk reduction**
367
$  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*
92535
days per year
Productivity losses*
45
$  M
Value at risk*
999
$  M
Avg. failure risk*
58
%
FTEs unblocked**
34238
days  per year
Producitivity gains**
17
$  M
Risk reduction**
360
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
91742
days per year
Productivity losses*
45
$  M
Value at risk*
993
$  M
Avg. failure risk*
58
%
FTEs unblocked**
33944
days  per year
Producitivity gains**
17
$  M
Risk reduction**
357
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
319153
days per year
Productivity losses*
155
$  M
Value at risk*
873
$  M
Avg. failure risk*
58
%
FTEs unblocked**
118086
days  per year
Producitivity gains**
57
$  M
Risk reduction**
314
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
2039558
days per year
Productivity losses*
992
$  M
Value at risk*
0
$  M
Avg. failure risk*
58
%
FTEs unblocked**
754636
days  per year
Producitivity gains**
367
$  M
Risk reduction**
0
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Utilities
FTE days lost*
55341
days per year
Productivity losses*
27
$  M
Value at risk*
990
$  M
Avg. failure risk*
58
%
FTEs unblocked**
20476
days  per year
Producitivity gains**
10
$  M
Risk reduction**
357
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Real Estate
FTE days lost*
1085875
days per year
Productivity losses*
528
$  M
Value at risk*
475
$  M
Avg. failure risk*
58
%
FTEs unblocked**
401774
days  per year
Producitivity gains**
195
$  M
Risk reduction**
171
$  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*
122751
days per year
Productivity losses*
60
$  M
Value at risk*
955
$  M
Avg. failure risk*
58
%
FTEs unblocked**
45417
days  per year
Producitivity gains**
22
$  M
Risk reduction**
344
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
915912
days per year
Productivity losses*
445
$  M
Value at risk*
548
$  M
Avg. failure risk*
58
%
FTEs unblocked**
338887
days  per year
Producitivity gains**
165
$  M
Risk reduction**
197
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
501-1000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Energy
FTE days lost*
9262
days per year
Productivity losses*
5
$  M
Value at risk*
992
$  M
Avg. failure risk*
58
%
FTEs unblocked**
3427
days  per year
Producitivity gains**
2
$  M
Risk reduction**
357
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
160520
days per year
Productivity losses*
78
$  M
Value at risk*
900
$  M
Avg. failure risk*
58
%
FTEs unblocked**
59392
days  per year
Producitivity gains**
29
$  M
Risk reduction**
324
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
21944
days per year
Productivity losses*
11
$  M
Value at risk*
965
$  M
Avg. failure risk*
58
%
FTEs unblocked**
8119
days  per year
Producitivity gains**
4
$  M
Risk reduction**
347
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
381095
days per year
Productivity losses*
185
$  M
Value at risk*
784
$  M
Avg. failure risk*
58
%
FTEs unblocked**
141005
days  per year
Producitivity gains**
69
$  M
Risk reduction**
282
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
282327
days per year
Productivity losses*
137
$  M
Value at risk*
818
$  M
Avg. failure risk*
58
%
FTEs unblocked**
104461
days  per year
Producitivity gains**
51
$  M
Risk reduction**
294
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Financial Services
FTE days lost*
54765
days per year
Productivity losses*
27
$  M
Value at risk*
931
$  M
Avg. failure risk*
58
%
FTEs unblocked**
20263
days  per year
Producitivity gains**
10
$  M
Risk reduction**
335
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
501-1000
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
7025
days per year
Productivity losses*
3
$  M
Value at risk*
947
$  M
Avg. failure risk*
58
%
FTEs unblocked**
2599
days  per year
Producitivity gains**
1
$  M
Risk reduction**
341
$  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*
192143
days per year
Productivity losses*
93
$  M
Value at risk*
853
$  M
Avg. failure risk*
58
%
FTEs unblocked**
71093
days  per year
Producitivity gains**
35
$  M
Risk reduction**
307
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
802604
days per year
Productivity losses*
390
$  M
Value at risk*
535
$  M
Avg. failure risk*
58
%
FTEs unblocked**
296963
days  per year
Producitivity gains**
144
$  M
Risk reduction**
193
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
99145
days per year
Productivity losses*
48
$  M
Value at risk*
885
$  M
Avg. failure risk*
58
%
FTEs unblocked**
36683
days  per year
Producitivity gains**
18
$  M
Risk reduction**
319
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
349368
days per year
Productivity losses*
170
$  M
Value at risk*
759
$  M
Avg. failure risk*
58
%
FTEs unblocked**
129266
days  per year
Producitivity gains**
63
$  M
Risk reduction**
273
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
113308
days per year
Productivity losses*
55
$  M
Value at risk*
862
$  M
Avg. failure risk*
58
%
FTEs unblocked**
41924
days  per year
Producitivity gains**
20
$  M
Risk reduction**
310
$  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*
69873
days per year
Productivity losses*
34
$  M
Value at risk*
868
$  M
Avg. failure risk*
58
%
FTEs unblocked**
25853
days  per year
Producitivity gains**
13
$  M
Risk reduction**
312
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
613992
days per year
Productivity losses*
299
$  M
Value at risk*
593
$  M
Avg. failure risk*
58
%
FTEs unblocked**
227177
days  per year
Producitivity gains**
110
$  M
Risk reduction**
214
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
130305
days per year
Productivity losses*
63
$  M
Value at risk*
833
$  M
Avg. failure risk*
58
%
FTEs unblocked**
48212
days  per year
Producitivity gains**
23
$  M
Risk reduction**
300
$  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

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