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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
$1B to $10B
Sector
Technology
FTE days lost*
213398
days per year
Productivity losses*
104
$  M
Value at risk*
788
$  M
Avg. failure risk*
58
%
FTEs unblocked**
78957
days  per year
Producitivity gains**
38
$  M
Risk reduction**
284
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Real Estate
FTE days lost*
15579
days per year
Productivity losses*
8
$  M
Value at risk*
879
$  M
Avg. failure risk*
58
%
FTEs unblocked**
5764
days  per year
Producitivity gains**
3
$  M
Risk reduction**
316
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
114441
days per year
Productivity losses*
56
$  M
Value at risk*
826
$  M
Avg. failure risk*
58
%
FTEs unblocked**
42343
days  per year
Producitivity gains**
21
$  M
Risk reduction**
297
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Financial Services
FTE days lost*
87814
days per year
Productivity losses*
43
$  M
Value at risk*
838
$  M
Avg. failure risk*
58
%
FTEs unblocked**
32491
days  per year
Producitivity gains**
16
$  M
Risk reduction**
302
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
264387
days per year
Productivity losses*
129
$  M
Value at risk*
749
$  M
Avg. failure risk*
58
%
FTEs unblocked**
97823
days  per year
Producitivity gains**
48
$  M
Risk reduction**
270
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
491004
days per year
Productivity losses*
239
$  M
Value at risk*
635
$  M
Avg. failure risk*
58
%
FTEs unblocked**
181671
days  per year
Producitivity gains**
88
$  M
Risk reduction**
229
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
885697
days per year
Productivity losses*
431
$  M
Value at risk*
437
$  M
Avg. failure risk*
58
%
FTEs unblocked**
327707
days  per year
Producitivity gains**
159
$  M
Risk reduction**
157
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
95745
days per year
Productivity losses*
47
$  M
Value at risk*
832
$  M
Avg. failure risk*
58
%
FTEs unblocked**
35425
days  per year
Producitivity gains**
17
$  M
Risk reduction**
300
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Utilities
FTE days lost*
29545
days per year
Productivity losses*
14
$  M
Value at risk*
861
$  M
Avg. failure risk*
58
%
FTEs unblocked**
10931
days  per year
Producitivity gains**
5
$  M
Risk reduction**
310
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
51933
days per year
Productivity losses*
25
$  M
Value at risk*
846
$  M
Avg. failure risk*
58
%
FTEs unblocked**
19215
days  per year
Producitivity gains**
9
$  M
Risk reduction**
305
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
491004
days per year
Productivity losses*
239
$  M
Value at risk*
626
$  M
Avg. failure risk*
58
%
FTEs unblocked**
181671
days  per year
Producitivity gains**
88
$  M
Risk reduction**
226
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Financial Services
FTE days lost*
181530
days per year
Productivity losses*
88
$  M
Value at risk*
767
$  M
Avg. failure risk*
58
%
FTEs unblocked**
67166
days  per year
Producitivity gains**
33
$  M
Risk reduction**
276
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
953682
days per year
Productivity losses*
464
$  M
Value at risk*
379
$  M
Avg. failure risk*
58
%
FTEs unblocked**
352862
days  per year
Producitivity gains**
172
$  M
Risk reduction**
137
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
129360
days per year
Productivity losses*
63
$  M
Value at risk*
789
$  M
Avg. failure risk*
58
%
FTEs unblocked**
47863
days  per year
Producitivity gains**
23
$  M
Risk reduction**
284
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Consumer Cyclical
FTE days lost*
1501341
days per year
Productivity losses*
730
$  M
Value at risk*
90
$  M
Avg. failure risk*
58
%
FTEs unblocked**
555496
days  per year
Producitivity gains**
270
$  M
Risk reduction**
32
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
790328
days per year
Productivity losses*
384
$  M
Value at risk*
440
$  M
Avg. failure risk*
58
%
FTEs unblocked**
292421
days  per year
Producitivity gains**
142
$  M
Risk reduction**
158
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
497614
days per year
Productivity losses*
242
$  M
Value at risk*
585
$  M
Avg. failure risk*
58
%
FTEs unblocked**
184117
days  per year
Producitivity gains**
90
$  M
Risk reduction**
210
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Consumer Defensive
FTE days lost*
52877
days per year
Productivity losses*
26
$  M
Value at risk*
799
$  M
Avg. failure risk*
58
%
FTEs unblocked**
19564
days  per year
Producitivity gains**
10
$  M
Risk reduction**
288
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
358811
days per year
Productivity losses*
175
$  M
Value at risk*
641
$  M
Avg. failure risk*
58
%
FTEs unblocked**
132760
days  per year
Producitivity gains**
65
$  M
Risk reduction**
231
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
859258
days per year
Productivity losses*
418
$  M
Value at risk*
390
$  M
Avg. failure risk*
58
%
FTEs unblocked**
317925
days  per year
Producitivity gains**
155
$  M
Risk reduction**
140
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Real Estate
FTE days lost*
17317
days per year
Productivity losses*
8
$  M
Value at risk*
807
$  M
Avg. failure risk*
58
%
FTEs unblocked**
6407
days  per year
Producitivity gains**
3
$  M
Risk reduction**
290
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
415654
days per year
Productivity losses*
202
$  M
Value at risk*
605
$  M
Avg. failure risk*
58
%
FTEs unblocked**
153792
days  per year
Producitivity gains**
75
$  M
Risk reduction**
218
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
462677
days per year
Productivity losses*
225
$  M
Value at risk*
581
$  M
Avg. failure risk*
58
%
FTEs unblocked**
171190
days  per year
Producitivity gains**
83
$  M
Risk reduction**
209
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
443792
days per year
Productivity losses*
216
$  M
Value at risk*
586
$  M
Avg. failure risk*
58
%
FTEs unblocked**
164203
days  per year
Producitivity gains**
80
$  M
Risk reduction**
211
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Real Estate
FTE days lost*
47212
days per year
Productivity losses*
23
$  M
Value at risk*
780
$  M
Avg. failure risk*
58
%
FTEs unblocked**
17468
days  per year
Producitivity gains**
9
$  M
Risk reduction**
281
$  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 &
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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
R&D Portfolio Risk Monitoring
Entry
Option Pricing
Make-or-buy - purchasing
Transformation Portfolio Risk Monitoring
Portfolio Allocation Optimization
Initiative Portfolio Performance Monitoring
Working Capital Optimization
Buy Side Advisory
OEM (Customer) Screening
Hedge Fund Portfolio Monitoring
Capital Structure Optimization
Earnings Allocation
CapEx Initiative Priorization
LBO Financing
Private Equity Portfolio Monitoring
Price Target
Merger
Buyer Screening
Business Unit Performance Monitoring
Enterprise Value Optimization
Country Index Allocation
Internationalization
Carve out
R&D Partnership
Performance Monitoring
Venture Capital Investment
Make-or-acquire
Cloud strategy
Asset Price Optimization
Investment
Market Index Allocation
Credit Risk Monitoring
Initiative Portfolio Risk Monitoring
ETF Allocation
Opportunity Selection
Supplier Sourcing
Investor Sourcing
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Budgeting
Infrastructure Investment
Strategy Selection
Market Risk Monitoring
Transformation Initiative Priorization
Joint Venture
Business Portfolio Optimization
CapEx Investment
Asset Acquisition
Private Equity Portfolio Allocation
Project Financing Structuring
Strategic Alliance
Business Unit Risk Monitoring
Take-Privat
Spin Off
Exit Strategy Evaluation
Hedge Fund Portfolio Allocation
Market Index Monitoring
Equity Investment
Financial Planning
R&D Portfolio Performance Monitoring
Technology scouting
Acquisition
Asset Sale
Platform Ecosystem
Deal Structure Optimization
Stock Selection
Acquisition-financing
Enterprise Valuation
Market Entry
Acquisition Target Screening
Bid Strategy Optimization
Capital Allocation Optimization
Asset Valuation
Portfolio Risk monitoring
R&D Investment
Debt Restructuring
Risk Monitoring
Sell-side Avisory Opportunity
Fairness Opinion
OEM Partnership
Component Sourcing Strategy
Divestiture
Enterprise Capital Allocation
Investment Target Screening
Sell-side advisory
Asset Portfolio Risk Monitoring
Value Optimization
IPO Structure Optimization
Corporate Venture Capital Investment
Earnings Optimization
Business Case Valuation
R&D Initiative Priorization
Secondary Buyout (SBO)
R&D Portfolio Optimization
Stock Investment
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Better M&A performance requires better decisions

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Manual work, siloed data, and biased decisions cost your business millions of dollars - every single year.

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