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Still wondering what your company or your competitors lose by making management decisions the outdated way?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