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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
Mega-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
14550738
days per year
Productivity losses*
7077
$  M
Value at risk*
84201
$  M
Avg. failure risk*
58
%
FTEs unblocked**
5383773
days  per year
Producitivity gains**
2618
$  M
Risk reduction**
30312
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Communication Services
FTE days lost*
1716609
days per year
Productivity losses*
835
$  M
Value at risk*
45213
$  M
Avg. failure risk*
58
%
FTEs unblocked**
635145
days  per year
Producitivity gains**
309
$  M
Risk reduction**
16277
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
2086770
days per year
Productivity losses*
1015
$  M
Value at risk*
40853
$  M
Avg. failure risk*
58
%
FTEs unblocked**
772105
days  per year
Producitivity gains**
376
$  M
Risk reduction**
14707
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Communication Services
FTE days lost*
674838
days per year
Productivity losses*
328
$  M
Value at risk*
39487
$  M
Avg. failure risk*
58
%
FTEs unblocked**
249690
days  per year
Producitivity gains**
121
$  M
Risk reduction**
14215
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
1245452
days per year
Productivity losses*
606
$  M
Value at risk*
28511
$  M
Avg. failure risk*
58
%
FTEs unblocked**
460817
days  per year
Producitivity gains**
224
$  M
Risk reduction**
10264
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
1548553
days per year
Productivity losses*
753
$  M
Value at risk*
26123
$  M
Avg. failure risk*
58
%
FTEs unblocked**
572964
days  per year
Producitivity gains**
279
$  M
Risk reduction**
9404
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
1548553
days per year
Productivity losses*
753
$  M
Value at risk*
21614
$  M
Avg. failure risk*
58
%
FTEs unblocked**
572964
days  per year
Producitivity gains**
279
$  M
Risk reduction**
7781
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
783719
days per year
Productivity losses*
381
$  M
Value at risk*
21843
$  M
Avg. failure risk*
58
%
FTEs unblocked**
289976
days  per year
Producitivity gains**
141
$  M
Risk reduction**
7864
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
1441854
days per year
Productivity losses*
701
$  M
Value at risk*
21487
$  M
Avg. failure risk*
58
%
FTEs unblocked**
533486
days  per year
Producitivity gains**
259
$  M
Risk reduction**
7735
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
19829040
days per year
Productivity losses*
9644
$  M
Value at risk*
10206
$  M
Avg. failure risk*
58
%
FTEs unblocked**
7336744
days  per year
Producitivity gains**
3568
$  M
Risk reduction**
3674
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Communication Services
FTE days lost*
1517393
days per year
Productivity losses*
738
$  M
Value at risk*
17184
$  M
Avg. failure risk*
58
%
FTEs unblocked**
561435
days  per year
Producitivity gains**
273
$  M
Risk reduction**
6186
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
3616439
days per year
Productivity losses*
1759
$  M
Value at risk*
15114
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1338082
days  per year
Producitivity gains**
651
$  M
Risk reduction**
5441
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Communication Services
FTE days lost*
1105705
days per year
Productivity losses*
538
$  M
Value at risk*
15672
$  M
Avg. failure risk*
58
%
FTEs unblocked**
409110
days  per year
Producitivity gains**
199
$  M
Risk reduction**
5642
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
3776960
days per year
Productivity losses*
1837
$  M
Value at risk*
14071
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1397475
days  per year
Producitivity gains**
680
$  M
Risk reduction**
5065
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
1576880
days per year
Productivity losses*
767
$  M
Value at risk*
12288
$  M
Avg. failure risk*
58
%
FTEs unblocked**
583445
days  per year
Producitivity gains**
284
$  M
Risk reduction**
4424
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
585428
days per year
Productivity losses*
285
$  M
Value at risk*
10676
$  M
Avg. failure risk*
58
%
FTEs unblocked**
216608
days  per year
Producitivity gains**
105
$  M
Risk reduction**
3843
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
632640
days per year
Productivity losses*
308
$  M
Value at risk*
10473
$  M
Avg. failure risk*
58
%
FTEs unblocked**
234077
days  per year
Producitivity gains**
114
$  M
Risk reduction**
3770
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Communication Services
FTE days lost*
670410
days per year
Productivity losses*
326
$  M
Value at risk*
10065
$  M
Avg. failure risk*
58
%
FTEs unblocked**
248051
days  per year
Producitivity gains**
121
$  M
Risk reduction**
3623
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Communication Services
FTE days lost*
1756286
days per year
Productivity losses*
854
$  M
Value at risk*
8938
$  M
Avg. failure risk*
58
%
FTEs unblocked**
649825
days  per year
Producitivity gains**
316
$  M
Risk reduction**
3218
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
453235
days per year
Productivity losses*
220
$  M
Value at risk*
9321
$  M
Avg. failure risk*
58
%
FTEs unblocked**
167697
days  per year
Producitivity gains**
82
$  M
Risk reduction**
3356
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
481562
days per year
Productivity losses*
234
$  M
Value at risk*
8913
$  M
Avg. failure risk*
58
%
FTEs unblocked**
178178
days  per year
Producitivity gains**
87
$  M
Risk reduction**
3209
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
753503
days per year
Productivity losses*
366
$  M
Value at risk*
8742
$  M
Avg. failure risk*
58
%
FTEs unblocked**
278796
days  per year
Producitivity gains**
136
$  M
Risk reduction**
3147
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
414011
days per year
Productivity losses*
201
$  M
Value at risk*
8642
$  M
Avg. failure risk*
58
%
FTEs unblocked**
153184
days  per year
Producitivity gains**
75
$  M
Risk reduction**
3111
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
323874
days per year
Productivity losses*
158
$  M
Value at risk*
7893
$  M
Avg. failure risk*
58
%
FTEs unblocked**
119833
days  per year
Producitivity gains**
58
$  M
Risk reduction**
2841
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
2266176
days per year
Productivity losses*
1102
$  M
Value at risk*
6596
$  M
Avg. failure risk*
58
%
FTEs unblocked**
838485
days  per year
Producitivity gains**
408
$  M
Risk reduction**
2375
$  M
Avg. risk reduction**
36
%
Heading
Decision architect course

One course to decision competence

Position yourself for high-stakes decision making

Be the person for solving the future of decision optimization

Learn to identify, prioritize, and optimize critical use cases

Guide your company to outperforming a decision making process

Understand the field of Decision optimization

Deep dive on what the new category can do for your company

Live session with QA to get you going right away

Learn from the founder of the first decision optimization software and with 10 years experience in the field

Setup your company for decision success

Learn from the founder of the first decision optimization software and with 10 years experience in the field

Watch Intro (2 min)
* 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).
Decision architect course

One course to decision competence

Position yourself for high-stakes decision making

Be the person for solving the future of decision optimization

Learn to identify, prioritize, and optimize critical use cases

Guide your company to outperforming a decision making process

Understand the field of Decision optimization

Deep dive on what the new category can do for your company

Live session with QA to get you going right away

Learn from the founder of the first decision optimization software and with 10 years experience in the field

Setup your company for decision success

Learn from the founder of the first decision optimization software and with 10 years experience in the field

Watch Intro (2 min)
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.

Meet DeOS

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Business value calculator

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
Calculate benefit
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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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CapEx budgeting
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.

Explore how DeOS optimizes your M&A decisions

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.

Learn how to get started today

DeOS out-of-the-box solutions empower you to get started right away and deliver value from day one.

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