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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Real Estate
FTE days lost*
55710
days per year
Productivity losses*
27
$  M
Value at risk*
1806
$  M
Avg. failure risk*
58
%
FTEs unblocked**
20612
days  per year
Producitivity gains**
10
$  M
Risk reduction**
650
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
542937
days per year
Productivity losses*
264
$  M
Value at risk*
1560
$  M
Avg. failure risk*
58
%
FTEs unblocked**
200887
days  per year
Producitivity gains**
98
$  M
Risk reduction**
561
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
250223
days per year
Productivity losses*
122
$  M
Value at risk*
1692
$  M
Avg. failure risk*
58
%
FTEs unblocked**
92582
days  per year
Producitivity gains**
45
$  M
Risk reduction**
609
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Utilities
FTE days lost*
118266
days per year
Productivity losses*
58
$  M
Value at risk*
1747
$  M
Avg. failure risk*
58
%
FTEs unblocked**
43758
days  per year
Producitivity gains**
21
$  M
Risk reduction**
629
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
45323
days per year
Productivity losses*
22
$  M
Value at risk*
1764
$  M
Avg. failure risk*
58
%
FTEs unblocked**
16769
days  per year
Producitivity gains**
8
$  M
Risk reduction**
635
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
944240
days per year
Productivity losses*
459
$  M
Value at risk*
1288
$  M
Avg. failure risk*
58
%
FTEs unblocked**
349368
days  per year
Producitivity gains**
170
$  M
Risk reduction**
464
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
168074
days per year
Productivity losses*
82
$  M
Value at risk*
1643
$  M
Avg. failure risk*
58
%
FTEs unblocked**
62187
days  per year
Producitivity gains**
30
$  M
Risk reduction**
592
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
1605208
days per year
Productivity losses*
781
$  M
Value at risk*
905
$  M
Avg. failure risk*
58
%
FTEs unblocked**
593926
days  per year
Producitivity gains**
289
$  M
Risk reduction**
326
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
116472
days per year
Productivity losses*
57
$  M
Value at risk*
1598
$  M
Avg. failure risk*
58
%
FTEs unblocked**
43094
days  per year
Producitivity gains**
21
$  M
Risk reduction**
575
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
501-1000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Real Estate
FTE days lost*
4853
days per year
Productivity losses*
2
$  M
Value at risk*
1646
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1795
days  per year
Producitivity gains**
1
$  M
Risk reduction**
593
$  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*
66096
days per year
Productivity losses*
32
$  M
Value at risk*
1602
$  M
Avg. failure risk*
58
%
FTEs unblocked**
24455
days  per year
Producitivity gains**
12
$  M
Risk reduction**
577
$  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*
61375
days per year
Productivity losses*
30
$  M
Value at risk*
1586
$  M
Avg. failure risk*
58
%
FTEs unblocked**
22708
days  per year
Producitivity gains**
11
$  M
Risk reduction**
571
$  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*
109531
days per year
Productivity losses*
53
$  M
Value at risk*
1546
$  M
Avg. failure risk*
58
%
FTEs unblocked**
40526
days  per year
Producitivity gains**
20
$  M
Risk reduction**
557
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
15325
days per year
Productivity losses*
7
$  M
Value at risk*
1581
$  M
Avg. failure risk*
58
%
FTEs unblocked**
5670
days  per year
Producitivity gains**
3
$  M
Risk reduction**
569
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
821488
days per year
Productivity losses*
400
$  M
Value at risk*
1165
$  M
Avg. failure risk*
58
%
FTEs unblocked**
303950
days  per year
Producitivity gains**
148
$  M
Risk reduction**
419
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
965957
days per year
Productivity losses*
470
$  M
Value at risk*
1045
$  M
Avg. failure risk*
58
%
FTEs unblocked**
357404
days  per year
Producitivity gains**
174
$  M
Risk reduction**
376
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
868700
days per year
Productivity losses*
423
$  M
Value at risk*
1093
$  M
Avg. failure risk*
58
%
FTEs unblocked**
321419
days  per year
Producitivity gains**
156
$  M
Risk reduction**
393
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
137859
days per year
Productivity losses*
67
$  M
Value at risk*
1454
$  M
Avg. failure risk*
58
%
FTEs unblocked**
51007
days  per year
Producitivity gains**
25
$  M
Risk reduction**
523
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
701570
days per year
Productivity losses*
341
$  M
Value at risk*
1172
$  M
Avg. failure risk*
58
%
FTEs unblocked**
259581
days  per year
Producitivity gains**
126
$  M
Risk reduction**
422
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
1095318
days per year
Productivity losses*
533
$  M
Value at risk*
969
$  M
Avg. failure risk*
58
%
FTEs unblocked**
405267
days  per year
Producitivity gains**
197
$  M
Risk reduction**
349
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
230866
days per year
Productivity losses*
112
$  M
Value at risk*
1392
$  M
Avg. failure risk*
58
%
FTEs unblocked**
85420
days  per year
Producitivity gains**
42
$  M
Risk reduction**
501
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
192936
days per year
Productivity losses*
94
$  M
Value at risk*
1397
$  M
Avg. failure risk*
58
%
FTEs unblocked**
71386
days  per year
Producitivity gains**
35
$  M
Risk reduction**
503
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
524997
days per year
Productivity losses*
255
$  M
Value at risk*
1224
$  M
Avg. failure risk*
58
%
FTEs unblocked**
194249
days  per year
Producitivity gains**
94
$  M
Risk reduction**
441
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
21462
days per year
Productivity losses*
10
$  M
Value at risk*
1474
$  M
Avg. failure risk*
58
%
FTEs unblocked**
7941
days  per year
Producitivity gains**
4
$  M
Risk reduction**
531
$  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*
80826
days per year
Productivity losses*
39
$  M
Value at risk*
1442
$  M
Avg. failure risk*
58
%
FTEs unblocked**
29905
days  per year
Producitivity gains**
15
$  M
Risk reduction**
519
$  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

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