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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
Industrials
FTE days lost*
214503
days per year
Productivity losses*
104
$  M
Value at risk*
450
$  M
Avg. failure risk*
58
%
FTEs unblocked**
79366
days  per year
Producitivity gains**
39
$  M
Risk reduction**
162
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
172795
days per year
Productivity losses*
84
$  M
Value at risk*
470
$  M
Avg. failure risk*
58
%
FTEs unblocked**
63934
days  per year
Producitivity gains**
31
$  M
Risk reduction**
169
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Communication Services
FTE days lost*
700626
days per year
Productivity losses*
341
$  M
Value at risk*
206
$  M
Avg. failure risk*
58
%
FTEs unblocked**
259231
days  per year
Producitivity gains**
126
$  M
Risk reduction**
74
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Consumer Cyclical
FTE days lost*
142580
days per year
Productivity losses*
69
$  M
Value at risk*
478
$  M
Avg. failure risk*
58
%
FTEs unblocked**
52754
days  per year
Producitivity gains**
26
$  M
Risk reduction**
172
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
170671
days per year
Productivity losses*
83
$  M
Value at risk*
461
$  M
Avg. failure risk*
58
%
FTEs unblocked**
63148
days  per year
Producitivity gains**
31
$  M
Risk reduction**
166
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
129143
days per year
Productivity losses*
63
$  M
Value at risk*
478
$  M
Avg. failure risk*
58
%
FTEs unblocked**
47783
days  per year
Producitivity gains**
23
$  M
Risk reduction**
172
$  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*
222840
days per year
Productivity losses*
108
$  M
Value at risk*
420
$  M
Avg. failure risk*
58
%
FTEs unblocked**
82451
days  per year
Producitivity gains**
40
$  M
Risk reduction**
151
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
236060
days per year
Productivity losses*
115
$  M
Value at risk*
412
$  M
Avg. failure risk*
58
%
FTEs unblocked**
87342
days  per year
Producitivity gains**
42
$  M
Risk reduction**
148
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
70818
days per year
Productivity losses*
34
$  M
Value at risk*
495
$  M
Avg. failure risk*
58
%
FTEs unblocked**
26202
days  per year
Producitivity gains**
13
$  M
Risk reduction**
178
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
66096
days per year
Productivity losses*
32
$  M
Value at risk*
495
$  M
Avg. failure risk*
58
%
FTEs unblocked**
24455
days  per year
Producitivity gains**
12
$  M
Risk reduction**
178
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Communication Services
FTE days lost*
545770
days per year
Productivity losses*
265
$  M
Value at risk*
250
$  M
Avg. failure risk*
58
%
FTEs unblocked**
201935
days  per year
Producitivity gains**
98
$  M
Risk reduction**
90
$  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*
56654
days per year
Productivity losses*
28
$  M
Value at risk*
490
$  M
Avg. failure risk*
58
%
FTEs unblocked**
20962
days  per year
Producitivity gains**
10
$  M
Risk reduction**
176
$  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*
80260
days per year
Productivity losses*
39
$  M
Value at risk*
469
$  M
Avg. failure risk*
58
%
FTEs unblocked**
29696
days  per year
Producitivity gains**
14
$  M
Risk reduction**
169
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
444170
days per year
Productivity losses*
216
$  M
Value at risk*
285
$  M
Avg. failure risk*
58
%
FTEs unblocked**
164343
days  per year
Producitivity gains**
80
$  M
Risk reduction**
103
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
377696
days per year
Productivity losses*
184
$  M
Value at risk*
318
$  M
Avg. failure risk*
58
%
FTEs unblocked**
139747
days  per year
Producitivity gains**
68
$  M
Risk reduction**
114
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$10B+
Sector
Real Estate
FTE days lost*
87474
days per year
Productivity losses*
43
$  M
Value at risk*
446
$  M
Avg. failure risk*
58
%
FTEs unblocked**
32365
days  per year
Producitivity gains**
16
$  M
Risk reduction**
161
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
368253
days per year
Productivity losses*
179
$  M
Value at risk*
305
$  M
Avg. failure risk*
58
%
FTEs unblocked**
136253
days  per year
Producitivity gains**
66
$  M
Risk reduction**
110
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
651525
days per year
Productivity losses*
317
$  M
Value at risk*
162
$  M
Avg. failure risk*
58
%
FTEs unblocked**
241064
days  per year
Producitivity gains**
117
$  M
Risk reduction**
58
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
169963
days per year
Productivity losses*
83
$  M
Value at risk*
402
$  M
Avg. failure risk*
58
%
FTEs unblocked**
62886
days  per year
Producitivity gains**
31
$  M
Risk reduction**
145
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
111656
days per year
Productivity losses*
54
$  M
Value at risk*
431
$  M
Avg. failure risk*
58
%
FTEs unblocked**
41312
days  per year
Producitivity gains**
20
$  M
Risk reduction**
155
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
321041
days per year
Productivity losses*
156
$  M
Value at risk*
322
$  M
Avg. failure risk*
58
%
FTEs unblocked**
118785
days  per year
Producitivity gains**
58
$  M
Risk reduction**
116
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Micro-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
944240
days per year
Productivity losses*
459
$  M
Value at risk*
0
$  M
Avg. failure risk*
58
%
FTEs unblocked**
349368
days  per year
Producitivity gains**
170
$  M
Risk reduction**
0
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
101-250
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Real Estate
FTE days lost*
1557
days per year
Productivity losses*
1
$  M
Value at risk*
467
$  M
Avg. failure risk*
58
%
FTEs unblocked**
576
days  per year
Producitivity gains**
0
$  M
Risk reduction**
168
$  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*
405
$  M
Avg. failure risk*
58
%
FTEs unblocked**
44719
days  per year
Producitivity gains**
22
$  M
Risk reduction**
146
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
156743
days per year
Productivity losses*
76
$  M
Value at risk*
384
$  M
Avg. failure risk*
58
%
FTEs unblocked**
57995
days  per year
Producitivity gains**
28
$  M
Risk reduction**
138
$  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.

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