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Still wondering what your company or your competitors lose by making management decisions the outdated way?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.

Get my D.O.P.EContact us
Search
Employees
Market cap
Sector
Revenue
clear all
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Sorted by
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Showing
10
out of
100
items
Company
losses*
opportunity**
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Healthcare
FTE days lost*
216325
days per year
Productivity losses*
105
$  M
Value at risk*
353
$  M
Avg. failure risk*
58
%
FTEs unblocked**
80040
days  per year
Producitivity gains**
39
$  M
Risk reduction**
127
$  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*
216665
days per year
Productivity losses*
105
$  M
Value at risk*
353
$  M
Avg. failure risk*
58
%
FTEs unblocked**
80166
days  per year
Producitivity gains**
39
$  M
Risk reduction**
127
$  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*
14569
days per year
Productivity losses*
7
$  M
Value at risk*
446
$  M
Avg. failure risk*
58
%
FTEs unblocked**
5390
days  per year
Producitivity gains**
3
$  M
Risk reduction**
160
$  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*
49572
days per year
Productivity losses*
24
$  M
Value at risk*
421
$  M
Avg. failure risk*
58
%
FTEs unblocked**
18341
days  per year
Producitivity gains**
9
$  M
Risk reduction**
152
$  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*
434350
days per year
Productivity losses*
211
$  M
Value at risk*
216
$  M
Avg. failure risk*
58
%
FTEs unblocked**
160709
days  per year
Producitivity gains**
78
$  M
Risk reduction**
78
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
373758
days per year
Productivity losses*
182
$  M
Value at risk*
245
$  M
Avg. failure risk*
58
%
FTEs unblocked**
138290
days  per year
Producitivity gains**
67
$  M
Risk reduction**
88
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
592321
days per year
Productivity losses*
288
$  M
Value at risk*
135
$  M
Avg. failure risk*
58
%
FTEs unblocked**
219159
days  per year
Producitivity gains**
107
$  M
Risk reduction**
49
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
520276
days per year
Productivity losses*
253
$  M
Value at risk*
169
$  M
Avg. failure risk*
58
%
FTEs unblocked**
192502
days  per year
Producitivity gains**
94
$  M
Risk reduction**
61
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
420186
days per year
Productivity losses*
204
$  M
Value at risk*
219
$  M
Avg. failure risk*
58
%
FTEs unblocked**
155469
days  per year
Producitivity gains**
76
$  M
Risk reduction**
79
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
236060
days per year
Productivity losses*
115
$  M
Value at risk*
310
$  M
Avg. failure risk*
58
%
FTEs unblocked**
87342
days  per year
Producitivity gains**
42
$  M
Risk reduction**
111
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
283272
days per year
Productivity losses*
138
$  M
Value at risk*
283
$  M
Avg. failure risk*
58
%
FTEs unblocked**
104810
days  per year
Producitivity gains**
51
$  M
Risk reduction**
102
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
185071
days per year
Productivity losses*
90
$  M
Value at risk*
328
$  M
Avg. failure risk*
58
%
FTEs unblocked**
68476
days  per year
Producitivity gains**
33
$  M
Risk reduction**
118
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Basic Materials
FTE days lost*
62319
days per year
Productivity losses*
30
$  M
Value at risk*
380
$  M
Avg. failure risk*
58
%
FTEs unblocked**
23058
days  per year
Producitivity gains**
11
$  M
Risk reduction**
137
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
182238
days per year
Productivity losses*
89
$  M
Value at risk*
309
$  M
Avg. failure risk*
58
%
FTEs unblocked**
67428
days  per year
Producitivity gains**
33
$  M
Risk reduction**
111
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
472120
days per year
Productivity losses*
230
$  M
Value at risk*
161
$  M
Avg. failure risk*
58
%
FTEs unblocked**
174684
days  per year
Producitivity gains**
85
$  M
Risk reduction**
58
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
38685
days per year
Productivity losses*
19
$  M
Value at risk*
374
$  M
Avg. failure risk*
58
%
FTEs unblocked**
14313
days  per year
Producitivity gains**
7
$  M
Risk reduction**
135
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Mid-cap
Revenue category
$1B to $10B
Sector
Technology
FTE days lost*
80505
days per year
Productivity losses*
39
$  M
Value at risk*
352
$  M
Avg. failure risk*
58
%
FTEs unblocked**
29787
days  per year
Producitivity gains**
14
$  M
Risk reduction**
127
$  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*
67654
days per year
Productivity losses*
33
$  M
Value at risk*
357
$  M
Avg. failure risk*
58
%
FTEs unblocked**
25032
days  per year
Producitivity gains**
12
$  M
Risk reduction**
128
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
424907
days per year
Productivity losses*
207
$  M
Value at risk*
177
$  M
Avg. failure risk*
58
%
FTEs unblocked**
157215
days  per year
Producitivity gains**
76
$  M
Risk reduction**
64
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
135970
days per year
Productivity losses*
66
$  M
Value at risk*
321
$  M
Avg. failure risk*
58
%
FTEs unblocked**
50309
days  per year
Producitivity gains**
24
$  M
Risk reduction**
115
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
434350
days per year
Productivity losses*
211
$  M
Value at risk*
171
$  M
Avg. failure risk*
58
%
FTEs unblocked**
160709
days  per year
Producitivity gains**
78
$  M
Risk reduction**
61
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
283272
days per year
Productivity losses*
138
$  M
Value at risk*
245
$  M
Avg. failure risk*
58
%
FTEs unblocked**
104810
days  per year
Producitivity gains**
51
$  M
Risk reduction**
88
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Industrials
FTE days lost*
254944
days per year
Productivity losses*
124
$  M
Value at risk*
259
$  M
Avg. failure risk*
58
%
FTEs unblocked**
94329
days  per year
Producitivity gains**
46
$  M
Risk reduction**
93
$  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*
61375
days per year
Productivity losses*
30
$  M
Value at risk*
350
$  M
Avg. failure risk*
58
%
FTEs unblocked**
22708
days  per year
Producitivity gains**
11
$  M
Risk reduction**
126
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Communication Services
FTE days lost*
231338
days per year
Productivity losses*
113
$  M
Value at risk*
263
$  M
Avg. failure risk*
58
%
FTEs unblocked**
85595
days  per year
Producitivity gains**
42
$  M
Risk reduction**
95
$  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.

Meet DeOS

Trusted by

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
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

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
Exit Strategy Evaluation
Divestiture
Cloud strategy
CapEx Initiative Priorization
Financial Planning
Technology scouting
Initiative Portfolio Performance Monitoring
Market Index Monitoring
LBO Financing
Business Unit Performance Monitoring
Performance Monitoring
Asset Acquisition
Capital Allocation Optimization
Earnings Allocation
Acquisition
Project Financing Structuring
Buyer Screening
Strategy Selection
Secondary Buyout (SBO)
Transformation Portfolio Risk Monitoring
Capital Structure Optimization
Investment Target Screening
R&D Investment
Transformation Initiative Priorization
Deal Structure Optimization
OEM (Customer) Screening
Component Sourcing Strategy
Asset Sale
R&D Portfolio Risk Monitoring
Private Equity Portfolio Monitoring
R&D Portfolio Optimization
Credit Risk Monitoring
Stock Selection
Make-or-buy - purchasing
Venture Capital Investment
Risk Monitoring
Debt Restructuring
Joint Venture
R&D Initiative Priorization
Asset Price Optimization
Corporate Venture Capital Investment
Portfolio Allocation Optimization
Price Target
Partner Screening
Business Unit Risk Monitoring
Strategic Alliance
Sell-side advisory
Enterprise Valuation
Merger
Investor Sourcing
Sell-side Avisory Opportunity
Equity Investment
Enterprise Value Optimization
Internationalization
Hedge Fund Portfolio Monitoring
Portfolio Risk monitoring
OEM Partnership
Platform Ecosystem
Earnings Optimization
R&D Partnership
Acquisition Target Screening
Take-Privat
Spin Off
Carve out
ETF Allocation
Entry
Stock Investment
Country Index Allocation
Acquisition-financing
R&D Portfolio Performance Monitoring
Initiative Portfolio Risk Monitoring
Infrastructure Investment
Market Entry
Asset Portfolio Risk Monitoring
Private Equity Portfolio Allocation
Enterprise Capital Allocation
Market Risk Monitoring
Make-or-acquire
IPO Structure Optimization
Budgeting
Buy Side Advisory
Fairness Opinion
Business Portfolio Optimization
CapEx Investment
Business Case Valuation
Investment
Value Optimization
Option Pricing
Market Index Allocation
Supplier Sourcing
Hedge Fund Portfolio Allocation
Asset Valuation
Working Capital Optimization
Opportunity Selection
Bid Strategy Optimization
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
Trust centerImprintPrivacy policyCookie policyStatus
© 2024 vencortex®