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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
$1B to $10B
Sector
Technology
FTE days lost*
138803
days per year
Productivity losses*
68
$  M
Value at risk*
50
$  M
Avg. failure risk*
58
%
FTEs unblocked**
51357
days  per year
Producitivity gains**
25
$  M
Risk reduction**
18
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
121806
days per year
Productivity losses*
59
$  M
Value at risk*
49
$  M
Avg. failure risk*
58
%
FTEs unblocked**
45068
days  per year
Producitivity gains**
22
$  M
Risk reduction**
18
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
32453
days per year
Productivity losses*
16
$  M
Value at risk*
93
$  M
Avg. failure risk*
58
%
FTEs unblocked**
12007
days  per year
Producitivity gains**
6
$  M
Risk reduction**
34
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
113308
days per year
Productivity losses*
55
$  M
Value at risk*
45
$  M
Avg. failure risk*
58
%
FTEs unblocked**
41924
days  per year
Producitivity gains**
20
$  M
Risk reduction**
16
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
174684
days per year
Productivity losses*
85
$  M
Value at risk*
0
$  M
Avg. failure risk*
58
%
FTEs unblocked**
64633
days  per year
Producitivity gains**
31
$  M
Risk reduction**
0
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Consumer Cyclical
FTE days lost*
61375
days per year
Productivity losses*
30
$  M
Value at risk*
55
$  M
Avg. failure risk*
58
%
FTEs unblocked**
22708
days  per year
Producitivity gains**
11
$  M
Risk reduction**
20
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Financial Services
FTE days lost*
68740
days per year
Productivity losses*
33
$  M
Value at risk*
48
$  M
Avg. failure risk*
58
%
FTEs unblocked**
25434
days  per year
Producitivity gains**
12
$  M
Risk reduction**
17
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
501-1000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
8630
days per year
Productivity losses*
4
$  M
Value at risk*
66
$  M
Avg. failure risk*
58
%
FTEs unblocked**
3193
days  per year
Producitivity gains**
2
$  M
Risk reduction**
24
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
251-500
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Real Estate
FTE days lost*
3691
days per year
Productivity losses*
2
$  M
Value at risk*
64
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1366
days  per year
Producitivity gains**
1
$  M
Risk reduction**
23
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
121636
days per year
Productivity losses*
59
$  M
Value at risk*
0
$  M
Avg. failure risk*
58
%
FTEs unblocked**
45005
days  per year
Producitivity gains**
22
$  M
Risk reduction**
0
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
56654
days per year
Productivity losses*
28
$  M
Value at risk*
31
$  M
Avg. failure risk*
58
%
FTEs unblocked**
20962
days  per year
Producitivity gains**
10
$  M
Risk reduction**
11
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
501-1000
Market cap
Large-cap
Revenue category
$500M to $1B
Sector
Financial Services
FTE days lost*
7025
days per year
Productivity losses*
3
$  M
Value at risk*
50
$  M
Avg. failure risk*
58
%
FTEs unblocked**
2599
days  per year
Producitivity gains**
1
$  M
Risk reduction**
18
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mid-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
106850
days per year
Productivity losses*
52
$  M
Value at risk*
0
$  M
Avg. failure risk*
58
%
FTEs unblocked**
39534
days  per year
Producitivity gains**
19
$  M
Risk reduction**
0
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
61847
days per year
Productivity losses*
30
$  M
Value at risk*
16
$  M
Avg. failure risk*
58
%
FTEs unblocked**
22883
days  per year
Producitivity gains**
11
$  M
Risk reduction**
6
$  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*
48609
days per year
Productivity losses*
24
$  M
Value at risk*
9
$  M
Avg. failure risk*
58
%
FTEs unblocked**
17985
days  per year
Producitivity gains**
9
$  M
Risk reduction**
3
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Financial Services
FTE days lost*
33454
days per year
Productivity losses*
16
$  M
Value at risk*
16
$  M
Avg. failure risk*
58
%
FTEs unblocked**
12378
days  per year
Producitivity gains**
6
$  M
Risk reduction**
6
$  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*
6033
days per year
Productivity losses*
3
$  M
Value at risk*
29
$  M
Avg. failure risk*
58
%
FTEs unblocked**
2232
days  per year
Producitivity gains**
1
$  M
Risk reduction**
10
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
251-500
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Real Estate
FTE days lost*
4154
days per year
Productivity losses*
2
$  M
Value at risk*
24
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1537
days  per year
Producitivity gains**
1
$  M
Risk reduction**
9
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
22926
days per year
Productivity losses*
11
$  M
Value at risk*
0
$  M
Avg. failure risk*
58
%
FTEs unblocked**
8482
days  per year
Producitivity gains**
4
$  M
Risk reduction**
0
$  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*
5599
days per year
Productivity losses*
3
$  M
Value at risk*
1
$  M
Avg. failure risk*
58
%
FTEs unblocked**
2071
days  per year
Producitivity gains**
1
$  M
Risk reduction**
0
$  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.

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