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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
Financial Services
FTE days lost*
174382
days per year
Productivity losses*
85
$  M
Value at risk*
221
$  M
Avg. failure risk*
58
%
FTEs unblocked**
64521
days  per year
Producitivity gains**
31
$  M
Risk reduction**
80
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
124989
days per year
Productivity losses*
61
$  M
Value at risk*
243
$  M
Avg. failure risk*
58
%
FTEs unblocked**
46245
days  per year
Producitivity gains**
22
$  M
Risk reduction**
88
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Consumer Cyclical
FTE days lost*
89702
days per year
Productivity losses*
44
$  M
Value at risk*
259
$  M
Avg. failure risk*
58
%
FTEs unblocked**
33190
days  per year
Producitivity gains**
16
$  M
Risk reduction**
93
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
46513
days per year
Productivity losses*
23
$  M
Value at risk*
280
$  M
Avg. failure risk*
58
%
FTEs unblocked**
17209
days  per year
Producitivity gains**
8
$  M
Risk reduction**
101
$  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*
32670
days per year
Productivity losses*
16
$  M
Value at risk*
285
$  M
Avg. failure risk*
58
%
FTEs unblocked**
12088
days  per year
Producitivity gains**
6
$  M
Risk reduction**
103
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
175628
days per year
Productivity losses*
85
$  M
Value at risk*
212
$  M
Avg. failure risk*
58
%
FTEs unblocked**
64982
days  per year
Producitivity gains**
32
$  M
Risk reduction**
76
$  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*
138189
days per year
Productivity losses*
67
$  M
Value at risk*
220
$  M
Avg. failure risk*
58
%
FTEs unblocked**
51130
days  per year
Producitivity gains**
25
$  M
Risk reduction**
79
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
25494
days per year
Productivity losses*
12
$  M
Value at risk*
268
$  M
Avg. failure risk*
58
%
FTEs unblocked**
9432
days  per year
Producitivity gains**
5
$  M
Risk reduction**
96
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
160520
days per year
Productivity losses*
78
$  M
Value at risk*
198
$  M
Avg. failure risk*
58
%
FTEs unblocked**
59392
days  per year
Producitivity gains**
29
$  M
Risk reduction**
71
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
549840
days per year
Productivity losses*
267
$  M
Value at risk*
0
$  M
Avg. failure risk*
58
%
FTEs unblocked**
203440
days  per year
Producitivity gains**
99
$  M
Risk reduction**
0
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Consumer Defensive
FTE days lost*
134082
days per year
Productivity losses*
65
$  M
Value at risk*
207
$  M
Avg. failure risk*
58
%
FTEs unblocked**
49610
days  per year
Producitivity gains**
24
$  M
Risk reduction**
75
$  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*
28799
days per year
Productivity losses*
14
$  M
Value at risk*
259
$  M
Avg. failure risk*
58
%
FTEs unblocked**
10655
days  per year
Producitivity gains**
5
$  M
Risk reduction**
93
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
154855
days per year
Productivity losses*
75
$  M
Value at risk*
195
$  M
Avg. failure risk*
58
%
FTEs unblocked**
57296
days  per year
Producitivity gains**
28
$  M
Risk reduction**
70
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Consumer Cyclical
FTE days lost*
26344
days per year
Productivity losses*
13
$  M
Value at risk*
257
$  M
Avg. failure risk*
58
%
FTEs unblocked**
9747
days  per year
Producitivity gains**
5
$  M
Risk reduction**
93
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
174684
days per year
Productivity losses*
85
$  M
Value at risk*
181
$  M
Avg. failure risk*
58
%
FTEs unblocked**
64633
days  per year
Producitivity gains**
31
$  M
Risk reduction**
65
$  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*
93479
days per year
Productivity losses*
45
$  M
Value at risk*
214
$  M
Avg. failure risk*
58
%
FTEs unblocked**
34587
days  per year
Producitivity gains**
17
$  M
Risk reduction**
77
$  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*
12435
days per year
Productivity losses*
6
$  M
Value at risk*
254
$  M
Avg. failure risk*
58
%
FTEs unblocked**
4601
days  per year
Producitivity gains**
2
$  M
Risk reduction**
91
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
251-500
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Real Estate
FTE days lost*
2964
days per year
Productivity losses*
1
$  M
Value at risk*
258
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1097
days  per year
Producitivity gains**
1
$  M
Risk reduction**
93
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
141636
days per year
Productivity losses*
69
$  M
Value at risk*
187
$  M
Avg. failure risk*
58
%
FTEs unblocked**
52405
days  per year
Producitivity gains**
25
$  M
Risk reduction**
67
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
217175
days per year
Productivity losses*
106
$  M
Value at risk*
148
$  M
Avg. failure risk*
58
%
FTEs unblocked**
80354
days  per year
Producitivity gains**
39
$  M
Risk reduction**
53
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
217175
days per year
Productivity losses*
106
$  M
Value at risk*
147
$  M
Avg. failure risk*
58
%
FTEs unblocked**
80354
days  per year
Producitivity gains**
39
$  M
Risk reduction**
53
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
188848
days per year
Productivity losses*
92
$  M
Value at risk*
161
$  M
Avg. failure risk*
58
%
FTEs unblocked**
69873
days  per year
Producitivity gains**
34
$  M
Risk reduction**
58
$  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*
82148
days per year
Productivity losses*
40
$  M
Value at risk*
212
$  M
Avg. failure risk*
58
%
FTEs unblocked**
30395
days  per year
Producitivity gains**
15
$  M
Risk reduction**
76
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Communication Services
FTE days lost*
25494
days per year
Productivity losses*
12
$  M
Value at risk*
237
$  M
Avg. failure risk*
58
%
FTEs unblocked**
9432
days  per year
Producitivity gains**
5
$  M
Risk reduction**
85
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
101033
days per year
Productivity losses*
49
$  M
Value at risk*
199
$  M
Avg. failure risk*
58
%
FTEs unblocked**
37382
days  per year
Producitivity gains**
18
$  M
Risk reduction**
72
$  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
Internationalization
Business Unit Risk Monitoring
Investment
Make-or-acquire
Carve out
Deal Structure Optimization
R&D Initiative Priorization
Debt Restructuring
Sell-side advisory
Risk Monitoring
Asset Price Optimization
CapEx Investment
Partner Screening
Stock Investment
R&D Portfolio Optimization
Price Target
Bid Strategy Optimization
Divestiture
Supplier Sourcing
Earnings Optimization
Entry
Acquisition
LBO Financing
Take-Privat
Option Pricing
Business Case Valuation
Acquisition Target Screening
Working Capital Optimization
Project Financing Structuring
Asset Sale
Performance Monitoring
Strategic Alliance
Hedge Fund Portfolio Monitoring
Secondary Buyout (SBO)
Enterprise Capital Allocation
Venture Capital Investment
OEM Partnership
Market Entry
Portfolio Allocation Optimization
Asset Portfolio Risk Monitoring
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R&D Portfolio Performance Monitoring
IPO Structure Optimization
Spin Off
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Country Index Allocation
Budgeting
Infrastructure Investment
Enterprise Value Optimization
Asset Acquisition
Exit Strategy Evaluation
Acquisition-financing
Hedge Fund Portfolio Allocation
Financial Planning
Credit Risk Monitoring
OEM (Customer) Screening
CapEx Initiative Priorization
Component Sourcing Strategy
Make-or-buy - purchasing
R&D Partnership
Stock Selection
Strategy Selection
Investor Sourcing
Business Portfolio Optimization
Merger
Buyer Screening
Earnings Allocation
Asset Valuation
Opportunity Selection
R&D Portfolio Risk Monitoring
Capital Allocation Optimization
Transformation Initiative Priorization
Initiative Portfolio Performance Monitoring
Transformation Portfolio Risk Monitoring
Enterprise Valuation
Platform Ecosystem
Equity Investment
ETF Allocation
Portfolio Risk monitoring
Sell-side Avisory Opportunity
R&D Investment
Value Optimization
Business Unit Performance Monitoring
Initiative Portfolio Risk Monitoring
Technology scouting
Market Risk Monitoring
Investment Target Screening
Capital Structure Optimization
Fairness Opinion
Buy Side Advisory
Cloud strategy
Private Equity Portfolio Allocation
Private Equity Portfolio Monitoring
Joint Venture
Market Index Monitoring
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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