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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
Financial Services
FTE days lost*
727064
days per year
Productivity losses*
354
$  M
Value at risk*
7109
$  M
Avg. failure risk*
58
%
FTEs unblocked**
269013
days  per year
Producitivity gains**
131
$  M
Risk reduction**
2559
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
217175
days per year
Productivity losses*
106
$  M
Value at risk*
7093
$  M
Avg. failure risk*
58
%
FTEs unblocked**
80354
days  per year
Producitivity gains**
39
$  M
Risk reduction**
2554
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
2722243
days per year
Productivity losses*
1324
$  M
Value at risk*
5512
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1007230
days  per year
Producitivity gains**
490
$  M
Risk reduction**
1984
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
263055
days per year
Productivity losses*
128
$  M
Value at risk*
6623
$  M
Avg. failure risk*
58
%
FTEs unblocked**
97330
days  per year
Producitivity gains**
47
$  M
Risk reduction**
2384
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Basic Materials
FTE days lost*
125234
days per year
Productivity losses*
61
$  M
Value at risk*
6494
$  M
Avg. failure risk*
58
%
FTEs unblocked**
46336
days  per year
Producitivity gains**
23
$  M
Risk reduction**
2338
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
1207258
days per year
Productivity losses*
587
$  M
Value at risk*
5943
$  M
Avg. failure risk*
58
%
FTEs unblocked**
446685
days  per year
Producitivity gains**
217
$  M
Risk reduction**
2140
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
2974356
days per year
Productivity losses*
1447
$  M
Value at risk*
4547
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1100511
days  per year
Producitivity gains**
535
$  M
Risk reduction**
1637
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
368253
days per year
Productivity losses*
179
$  M
Value at risk*
5801
$  M
Avg. failure risk*
58
%
FTEs unblocked**
136253
days  per year
Producitivity gains**
66
$  M
Risk reduction**
2088
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
91591
days per year
Productivity losses*
45
$  M
Value at risk*
5927
$  M
Avg. failure risk*
58
%
FTEs unblocked**
33888
days  per year
Producitivity gains**
16
$  M
Risk reduction**
2134
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
6911836
days per year
Productivity losses*
3362
$  M
Value at risk*
2478
$  M
Avg. failure risk*
58
%
FTEs unblocked**
2557379
days  per year
Producitivity gains**
1244
$  M
Risk reduction**
892
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
144468
days per year
Productivity losses*
70
$  M
Value at risk*
5650
$  M
Avg. failure risk*
58
%
FTEs unblocked**
53453
days  per year
Producitivity gains**
26
$  M
Risk reduction**
2034
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
245596
days per year
Productivity losses*
119
$  M
Value at risk*
5559
$  M
Avg. failure risk*
58
%
FTEs unblocked**
90870
days  per year
Producitivity gains**
44
$  M
Risk reduction**
2001
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Communication Services
FTE days lost*
960292
days per year
Productivity losses*
467
$  M
Value at risk*
5117
$  M
Avg. failure risk*
58
%
FTEs unblocked**
355308
days  per year
Producitivity gains**
173
$  M
Risk reduction**
1842
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
3097107
days per year
Productivity losses*
1506
$  M
Value at risk*
3923
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1145929
days  per year
Producitivity gains**
557
$  M
Risk reduction**
1412
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
801659
days per year
Productivity losses*
390
$  M
Value at risk*
5047
$  M
Avg. failure risk*
58
%
FTEs unblocked**
296614
days  per year
Producitivity gains**
144
$  M
Risk reduction**
1817
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
237948
days per year
Productivity losses*
116
$  M
Value at risk*
5276
$  M
Avg. failure risk*
58
%
FTEs unblocked**
88040
days  per year
Producitivity gains**
43
$  M
Risk reduction**
1899
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
1624092
days per year
Productivity losses*
790
$  M
Value at risk*
4444
$  M
Avg. failure risk*
58
%
FTEs unblocked**
600914
days  per year
Producitivity gains**
292
$  M
Risk reduction**
1600
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
1633535
days per year
Productivity losses*
794
$  M
Value at risk*
4150
$  M
Avg. failure risk*
58
%
FTEs unblocked**
604408
days  per year
Producitivity gains**
294
$  M
Risk reduction**
1494
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
258938
days per year
Productivity losses*
126
$  M
Value at risk*
4755
$  M
Avg. failure risk*
58
%
FTEs unblocked**
95807
days  per year
Producitivity gains**
47
$  M
Risk reduction**
1712
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
171851
days per year
Productivity losses*
84
$  M
Value at risk*
4790
$  M
Avg. failure risk*
58
%
FTEs unblocked**
63585
days  per year
Producitivity gains**
31
$  M
Risk reduction**
1724
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
472120
days per year
Productivity losses*
230
$  M
Value at risk*
4639
$  M
Avg. failure risk*
58
%
FTEs unblocked**
174684
days  per year
Producitivity gains**
85
$  M
Risk reduction**
1670
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
162409
days per year
Productivity losses*
79
$  M
Value at risk*
4714
$  M
Avg. failure risk*
58
%
FTEs unblocked**
60091
days  per year
Producitivity gains**
29
$  M
Risk reduction**
1697
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
160275
days per year
Productivity losses*
78
$  M
Value at risk*
4628
$  M
Avg. failure risk*
58
%
FTEs unblocked**
59301
days  per year
Producitivity gains**
29
$  M
Risk reduction**
1666
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
321041
days per year
Productivity losses*
156
$  M
Value at risk*
4533
$  M
Avg. failure risk*
58
%
FTEs unblocked**
118785
days  per year
Producitivity gains**
58
$  M
Risk reduction**
1632
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
897027
days per year
Productivity losses*
436
$  M
Value at risk*
4197
$  M
Avg. failure risk*
58
%
FTEs unblocked**
331900
days  per year
Producitivity gains**
161
$  M
Risk reduction**
1511
$  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.

Explore solutions
R&D portfolio selection
CapEx budgeting
Investment portfolio diagnosing
Stock portfolio optimization
Make-or-buy
Product portfolio analysis
Internationalization
Target scouting
Cloud vendor sourcing
Cost of capital optimization
Business portfolio diagnosing
Stock portfolio selection
Inventory optimization
Financial restructuring
Cloud strategy
R&D partner scouting
Acquisition
Product portfolio optimization
Customer scouting
Workforce productivity diagnosing
Dynamic pricing
Joint venture investment
Education and training investments
Partner ecosystem optimization
Technology scouting
Divesture
Innovation budgeting
Post merger integration
Demand planning
CapEx investment
Technology portfolio optimization
Product development investment
R&D budgeting
Product portfolio transformation
Supplier selection
CapEx project portfolio optimization
Transformation project budgeting
Transformation project investment
Purchasing
Market entry
Marketing budgeting
CapEx portfoilo diagnosing
(Corporate) venture capital investment
Investment target scouting
Business portfolio optimization
Asset management
Market segment analysis
Innovation portfolio selection
R&D project investment
Business model portfolio optimization
Hiring
HR budgeting and staffing
Customer segement diagnosing
Competitive positioning
Stock portfolio diagnosing
Technology portfolio diagnosing
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.

Download now
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