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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
$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.

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Acquisition
Target Screening
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Due Diligence
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Fairness Opinion
Stock Portfolio Creation
Divestiture
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Carve Out
Stock Portfolio Rebalancing
Technology Scouting
CapEx budgeting
CapEx Portfolio Optimization
R&D Portfolio Optimization
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Investment Budget Allocation
Corporate Portfolio Diagnosing
Synergy Optimization
Market Entry
Asset Sales
Investment Strategy
Valuation
Partner Screening
Leveraged Buyout
CapEx Investment
Portfolio Risk Monitoring
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Venture Capital Investment
CapEx Portfolio Diagnosing
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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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