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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
Industrials
FTE days lost*
2581552
days per year
Productivity losses*
1256
$  M
Value at risk*
3197
$  M
Avg. failure risk*
58
%
FTEs unblocked**
955174
days  per year
Producitivity gains**
465
$  M
Risk reduction**
1151
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
160520
days per year
Productivity losses*
78
$  M
Value at risk*
4351
$  M
Avg. failure risk*
58
%
FTEs unblocked**
59392
days  per year
Producitivity gains**
29
$  M
Risk reduction**
1566
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
4154656
days per year
Productivity losses*
2021
$  M
Value at risk*
2262
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1537222
days  per year
Producitivity gains**
748
$  M
Risk reduction**
814
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
180000
days per year
Productivity losses*
88
$  M
Value at risk*
4155
$  M
Avg. failure risk*
58
%
FTEs unblocked**
66600
days  per year
Producitivity gains**
32
$  M
Risk reduction**
1496
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
4721200
days per year
Productivity losses*
2296
$  M
Value at risk*
1785
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1746844
days  per year
Producitivity gains**
850
$  M
Risk reduction**
643
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
1954576
days per year
Productivity losses*
951
$  M
Value at risk*
3137
$  M
Avg. failure risk*
58
%
FTEs unblocked**
723193
days  per year
Producitivity gains**
352
$  M
Risk reduction**
1129
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
1718516
days per year
Productivity losses*
836
$  M
Value at risk*
3198
$  M
Avg. failure risk*
58
%
FTEs unblocked**
635851
days  per year
Producitivity gains**
309
$  M
Risk reduction**
1151
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
4437927
days per year
Productivity losses*
2158
$  M
Value at risk*
1809
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1642033
days  per year
Producitivity gains**
799
$  M
Risk reduction**
651
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
749632
days per year
Productivity losses*
365
$  M
Value at risk*
3649
$  M
Avg. failure risk*
58
%
FTEs unblocked**
277363
days  per year
Producitivity gains**
135
$  M
Risk reduction**
1314
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
776165
days per year
Productivity losses*
378
$  M
Value at risk*
3595
$  M
Avg. failure risk*
58
%
FTEs unblocked**
287181
days  per year
Producitivity gains**
140
$  M
Risk reduction**
1294
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
897027
days per year
Productivity losses*
436
$  M
Value at risk*
3493
$  M
Avg. failure risk*
58
%
FTEs unblocked**
331900
days  per year
Producitivity gains**
161
$  M
Risk reduction**
1257
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
247353
days per year
Productivity losses*
120
$  M
Value at risk*
3774
$  M
Avg. failure risk*
58
%
FTEs unblocked**
91520
days  per year
Producitivity gains**
45
$  M
Risk reduction**
1359
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
673243
days per year
Productivity losses*
327
$  M
Value at risk*
3555
$  M
Avg. failure risk*
58
%
FTEs unblocked**
249099
days  per year
Producitivity gains**
121
$  M
Risk reduction**
1280
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
3068779
days per year
Productivity losses*
1493
$  M
Value at risk*
2275
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1135448
days  per year
Producitivity gains**
552
$  M
Risk reduction**
819
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Utilities
FTE days lost*
84849
days per year
Productivity losses*
41
$  M
Value at risk*
3767
$  M
Avg. failure risk*
58
%
FTEs unblocked**
31394
days  per year
Producitivity gains**
15
$  M
Risk reduction**
1356
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
236060
days per year
Productivity losses*
115
$  M
Value at risk*
3641
$  M
Avg. failure risk*
58
%
FTEs unblocked**
87342
days  per year
Producitivity gains**
42
$  M
Risk reduction**
1311
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
1510784
days per year
Productivity losses*
735
$  M
Value at risk*
2982
$  M
Avg. failure risk*
58
%
FTEs unblocked**
558990
days  per year
Producitivity gains**
272
$  M
Risk reduction**
1074
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
2870489
days per year
Productivity losses*
1396
$  M
Value at risk*
2257
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1062081
days  per year
Producitivity gains**
517
$  M
Risk reduction**
812
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Communication Services
FTE days lost*
1620315
days per year
Productivity losses*
788
$  M
Value at risk*
2867
$  M
Avg. failure risk*
58
%
FTEs unblocked**
599516
days  per year
Producitivity gains**
292
$  M
Risk reduction**
1032
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
859258
days per year
Productivity losses*
418
$  M
Value at risk*
3243
$  M
Avg. failure risk*
58
%
FTEs unblocked**
317925
days  per year
Producitivity gains**
155
$  M
Risk reduction**
1167
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
232283
days per year
Productivity losses*
113
$  M
Value at risk*
3497
$  M
Avg. failure risk*
58
%
FTEs unblocked**
85944
days  per year
Producitivity gains**
42
$  M
Risk reduction**
1259
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
421131
days per year
Productivity losses*
205
$  M
Value at risk*
3401
$  M
Avg. failure risk*
58
%
FTEs unblocked**
155818
days  per year
Producitivity gains**
76
$  M
Risk reduction**
1224
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
694960
days per year
Productivity losses*
338
$  M
Value at risk*
3123
$  M
Avg. failure risk*
58
%
FTEs unblocked**
257135
days  per year
Producitivity gains**
125
$  M
Risk reduction**
1124
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
2067885
days per year
Productivity losses*
1006
$  M
Value at risk*
2387
$  M
Avg. failure risk*
58
%
FTEs unblocked**
765117
days  per year
Producitivity gains**
372
$  M
Risk reduction**
859
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
807325
days per year
Productivity losses*
393
$  M
Value at risk*
3013
$  M
Avg. failure risk*
58
%
FTEs unblocked**
298710
days  per year
Producitivity gains**
145
$  M
Risk reduction**
1085
$  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
ETF Allocation
Make-or-buy - purchasing
Cloud strategy
CapEx Investment
Technology scouting
Carve out
Risk Monitoring
Acquisition-financing
Strategy Selection
R&D Initiative Priorization
Option Pricing
Partner Screening
Entry
Venture Capital Investment
Portfolio Risk monitoring
Divestiture
Enterprise Valuation
Performance Monitoring
Asset Sale
Working Capital Optimization
Stock Investment
Acquisition Target Screening
Transformation Portfolio Risk Monitoring
Joint Venture
Market Index Monitoring
Equity Investment
Project Financing Structuring
Sell-side Avisory Opportunity
R&D Partnership
Hedge Fund Portfolio Monitoring
Private Equity Portfolio Allocation
Initiative Portfolio Performance Monitoring
Capital Structure Optimization
Stock Selection
Opportunity Selection
R&D Portfolio Performance Monitoring
Supplier Sourcing
Fairness Opinion
Initiative Portfolio Risk Monitoring
Take-Privat
OEM Partnership
Buyer Screening
Asset Portfolio Risk Monitoring
IPO Structure Optimization
Earnings Optimization
Deal Structure Optimization
Internationalization
Market Risk Monitoring
OEM (Customer) Screening
Price Target
Portfolio Allocation Optimization
Business Case Valuation
Corporate Venture Capital Investment
Asset Price Optimization
Buy Side Advisory
Asset Valuation
Business Unit Risk Monitoring
R&D Portfolio Optimization
Asset Acquisition
Hedge Fund Portfolio Allocation
Secondary Buyout (SBO)
R&D Investment
Budgeting
Earnings Allocation
CapEx Initiative Priorization
R&D Portfolio Risk Monitoring
Merger
Make-or-acquire
Market Entry
Private Equity Portfolio Monitoring
Value Optimization
Strategic Alliance
Sell-side advisory
Bid Strategy Optimization
Transformation Initiative Priorization
Platform Ecosystem
Investment Target Screening
Business Unit Performance Monitoring
Credit Risk Monitoring
Market Index Allocation
Debt Restructuring
Investment
Country Index Allocation
Enterprise Value Optimization
Business Portfolio Optimization
Component Sourcing Strategy
Acquisition
Exit Strategy Evaluation
Enterprise Capital Allocation
Financial Planning
Infrastructure Investment
Investor Sourcing
Spin Off
Capital Allocation Optimization
LBO Financing
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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DeOS out-of-the-box solutions empower you to get started right away and deliver value from day one.

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