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Still wondering what your company or your competitors lose by making management decisions the outdated way?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
$10B+
Sector
Utilities
FTE days lost*
126414
days per year
Productivity losses*
61
$  M
Value at risk*
3351
$  M
Avg. failure risk*
58
%
FTEs unblocked**
46773
days  per year
Producitivity gains**
23
$  M
Risk reduction**
1206
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$1B to $10B
Sector
Communication Services
FTE days lost*
126528
days per year
Productivity losses*
62
$  M
Value at risk*
3344
$  M
Avg. failure risk*
58
%
FTEs unblocked**
46815
days  per year
Producitivity gains**
23
$  M
Risk reduction**
1204
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
188848
days per year
Productivity losses*
92
$  M
Value at risk*
3242
$  M
Avg. failure risk*
58
%
FTEs unblocked**
69873
days  per year
Producitivity gains**
34
$  M
Risk reduction**
1167
$  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*
61630
days per year
Productivity losses*
30
$  M
Value at risk*
3288
$  M
Avg. failure risk*
58
%
FTEs unblocked**
22803
days  per year
Producitivity gains**
11
$  M
Risk reduction**
1184
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Financial Services
FTE days lost*
499011
days per year
Productivity losses*
243
$  M
Value at risk*
3037
$  M
Avg. failure risk*
58
%
FTEs unblocked**
184634
days  per year
Producitivity gains**
90
$  M
Risk reduction**
1093
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
296491
days per year
Productivity losses*
144
$  M
Value at risk*
3133
$  M
Avg. failure risk*
58
%
FTEs unblocked**
109701
days  per year
Producitivity gains**
53
$  M
Risk reduction**
1128
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
568432
days per year
Productivity losses*
276
$  M
Value at risk*
2997
$  M
Avg. failure risk*
58
%
FTEs unblocked**
210320
days  per year
Producitivity gains**
102
$  M
Risk reduction**
1079
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
821488
days per year
Productivity losses*
400
$  M
Value at risk*
2866
$  M
Avg. failure risk*
58
%
FTEs unblocked**
303950
days  per year
Producitivity gains**
148
$  M
Risk reduction**
1032
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
1085875
days per year
Productivity losses*
528
$  M
Value at risk*
2734
$  M
Avg. failure risk*
58
%
FTEs unblocked**
401774
days  per year
Producitivity gains**
195
$  M
Risk reduction**
984
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
942351
days per year
Productivity losses*
458
$  M
Value at risk*
2795
$  M
Avg. failure risk*
58
%
FTEs unblocked**
348670
days  per year
Producitivity gains**
170
$  M
Risk reduction**
1006
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Technology
FTE days lost*
547659
days per year
Productivity losses*
266
$  M
Value at risk*
2981
$  M
Avg. failure risk*
58
%
FTEs unblocked**
202633
days  per year
Producitivity gains**
99
$  M
Risk reduction**
1073
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
113053
days per year
Productivity losses*
55
$  M
Value at risk*
3164
$  M
Avg. failure risk*
58
%
FTEs unblocked**
41829
days  per year
Producitivity gains**
20
$  M
Risk reduction**
1139
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
115726
days per year
Productivity losses*
56
$  M
Value at risk*
3155
$  M
Avg. failure risk*
58
%
FTEs unblocked**
42818
days  per year
Producitivity gains**
21
$  M
Risk reduction**
1136
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
149048
days per year
Productivity losses*
72
$  M
Value at risk*
3107
$  M
Avg. failure risk*
58
%
FTEs unblocked**
55147
days  per year
Producitivity gains**
27
$  M
Risk reduction**
1119
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Mega-cap
Revenue category
$10B+
Sector
Consumer Defensive
FTE days lost*
1010336
days per year
Productivity losses*
491
$  M
Value at risk*
2631
$  M
Avg. failure risk*
58
%
FTEs unblocked**
373824
days  per year
Producitivity gains**
182
$  M
Risk reduction**
947
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
113308
days per year
Productivity losses*
55
$  M
Value at risk*
3067
$  M
Avg. failure risk*
58
%
FTEs unblocked**
41924
days  per year
Producitivity gains**
20
$  M
Risk reduction**
1104
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
1473014
days per year
Productivity losses*
716
$  M
Value at risk*
2366
$  M
Avg. failure risk*
58
%
FTEs unblocked**
545015
days  per year
Producitivity gains**
265
$  M
Risk reduction**
852
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
1030165
days per year
Productivity losses*
501
$  M
Value at risk*
2560
$  M
Avg. failure risk*
58
%
FTEs unblocked**
381161
days  per year
Producitivity gains**
185
$  M
Risk reduction**
922
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Consumer Cyclical
FTE days lost*
3795844
days per year
Productivity losses*
1846
$  M
Value at risk*
1102
$  M
Avg. failure risk*
58
%
FTEs unblocked**
1404462
days  per year
Producitivity gains**
683
$  M
Risk reduction**
397
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
1001-5000
Market cap
Large-cap
Revenue category
$10B+
Sector
Energy
FTE days lost*
16996
days per year
Productivity losses*
8
$  M
Value at risk*
2973
$  M
Avg. failure risk*
58
%
FTEs unblocked**
6288
days  per year
Producitivity gains**
3
$  M
Risk reduction**
1070
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
5001-10000
Market cap
Large-cap
Revenue category
$10B+
Sector
Utilities
FTE days lost*
85925
days per year
Productivity losses*
42
$  M
Value at risk*
2915
$  M
Avg. failure risk*
58
%
FTEs unblocked**
31792
days  per year
Producitivity gains**
15
$  M
Risk reduction**
1049
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
481562
days per year
Productivity losses*
234
$  M
Value at risk*
2671
$  M
Avg. failure risk*
58
%
FTEs unblocked**
178178
days  per year
Producitivity gains**
87
$  M
Risk reduction**
962
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Industrials
FTE days lost*
472120
days per year
Productivity losses*
230
$  M
Value at risk*
2671
$  M
Avg. failure risk*
58
%
FTEs unblocked**
174684
days  per year
Producitivity gains**
85
$  M
Risk reduction**
962
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Healthcare
FTE days lost*
727064
days per year
Productivity losses*
354
$  M
Value at risk*
2493
$  M
Avg. failure risk*
58
%
FTEs unblocked**
269013
days  per year
Producitivity gains**
131
$  M
Risk reduction**
898
$  M
Avg. risk reduction**
36
%
Heading
Heading
Employee category
10001+
Market cap
Large-cap
Revenue category
$10B+
Sector
Basic Materials
FTE days lost*
186109
days per year
Productivity losses*
91
$  M
Value at risk*
2757
$  M
Avg. failure risk*
58
%
FTEs unblocked**
68860
days  per year
Producitivity gains**
33
$  M
Risk reduction**
992
$  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
Market Entry
Sell-side Avisory Opportunity
Working Capital Optimization
Merger
R&D Investment
Internationalization
R&D Initiative Priorization
Buyer Screening
Business Portfolio Optimization
Infrastructure Investment
Business Unit Performance Monitoring
Secondary Buyout (SBO)
Component Sourcing Strategy
Asset Acquisition
Portfolio Allocation Optimization
Technology scouting
Asset Valuation
R&D Partnership
Price Target
Market Index Monitoring
Corporate Venture Capital Investment
Make-or-buy - purchasing
Cloud strategy
Take-Privat
Country Index Allocation
Risk Monitoring
Value Optimization
R&D Portfolio Optimization
Earnings Optimization
R&D Portfolio Risk Monitoring
Investment
Venture Capital Investment
Strategic Alliance
Strategy Selection
Market Risk Monitoring
Business Unit Risk Monitoring
OEM Partnership
ETF Allocation
Deal Structure Optimization
Private Equity Portfolio Allocation
Stock Selection
R&D Portfolio Performance Monitoring
Fairness Opinion
Equity Investment
Bid Strategy Optimization
Acquisition-financing
Budgeting
Buy Side Advisory
Option Pricing
Initiative Portfolio Risk Monitoring
Opportunity Selection
Transformation Portfolio Risk Monitoring
Initiative Portfolio Performance Monitoring
IPO Structure Optimization
Hedge Fund Portfolio Monitoring
Performance Monitoring
Spin Off
Private Equity Portfolio Monitoring
Platform Ecosystem
Asset Sale
Project Financing Structuring
Sell-side advisory
Credit Risk Monitoring
Capital Structure Optimization
Capital Allocation Optimization
Enterprise Valuation
Financial Planning
Partner Screening
Earnings Allocation
Market Index Allocation
Debt Restructuring
CapEx Investment
Hedge Fund Portfolio Allocation
Enterprise Value Optimization
Make-or-acquire
Supplier Sourcing
Asset Price Optimization
Investor Sourcing
Joint Venture
Entry
LBO Financing
OEM (Customer) Screening
Stock Investment
Transformation Initiative Priorization
Portfolio Risk monitoring
CapEx Initiative Priorization
Carve out
Exit Strategy Evaluation
Divestiture
Acquisition Target Screening
Investment Target Screening
Business Case Valuation
Enterprise Capital Allocation
Asset Portfolio Risk Monitoring
Acquisition
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®