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BENEFITS OF DOCUMENT
  1. Provides over 100 "Best In Class and at-risk" global digital transformation benchmarks and profiles covering profit, sales, HR,assets, cash and trends to enable you to calculate your risk of disruption and your digital transformation maturity.
  2. Compares the returns of the SIMMETHOD global digital transformation Best In Class and laggards with the S&P 500 in order to assist you to measure, cost-justify and monitor your digital transformation investments and projects in a CFO friendly language.
  3. Provides case studies of the following companies: General Electric (GE), Accenture, Capgemini, Amazon, Walmart, Costco, Simon Properties, Well Care Health, United Health, Anthem, Saudi Telecom, Singtel, Telstra, AT&T and Telefonica.

DOCUMENT DESCRIPTION

Since the year 2000, 50% of the Fortune 500 have disappeared due to digital disruption and because they were not able to adequately measure and predict the outcome of their strategy-execution.

How good do you have to be to avoid digital disruption and become digital transformation Best In Class? What is the profile of the digital transformation Best In Class?

Digital disruption and transformation are complex events and (as in team sport), the whole is different from the sum of the parts and can only be measured and benchmarked with new holistic metrics of risk and performance.

According to the World Economic Forum "traditional financial KPIs are no longer effective at measuring the success of a business and companies that understand digital transformation earn 26% more profit". In fact, as shown in this document, the SIMMETHOD Global Digital Transformation Best in Class have achieved a profit per employee that is 4 times higher than the S&P 500 average.

The SIMMETHOD Global Digital Transformation Algorithms, Benchmarking and Digital Disruption Risk Alerts blend continuous improvement and digital transformation frameworks that incorporate the wisdom of the markets placing C-level sensors in the areas of the market where most value is being created.

In essence, the benchmarks, profiles and case studies in this document will enable you to identify the strategies, business models, analytical profiles and best practices from different industries that can be adapted to your business in order to reduce your risk of disruption and improve your performance in a measurable and predictable way.

A new and unique feature of this document is that includes a complimentary 6 months subscription to the SIMMETHOD Global Digital Transformation Benchmarking and Risk Alerts (valued at $300) that will enable you to monitor your digital transformation trend and progress versus the global Best In Class.

"SIMMETHOD is the ability of any principal within a business to navigate a myriad of financial processes and arrive at the focal point of what makes the business successful. It is a comprehensive methodology that translates a company's strategic objectives into a coherent set of performance measures, ultimately adding real dollars to the bottom line". Edmund Khalaf, Group VP and Asia Pacific CFO, Randstad.

"Simmethod unique system of risk reduction early warning value chain leading indicators set up against a constantly updated competitive intelligence database provides hard to obtain insights into threats and opportunities". Steve Maloney, Strategic Account Executive at Salesforce.

Some of SIMMETHOD's clients:

Australian Stock Exchange, Fujitsu, Thomas Cook, Shell, Austrade, Greens, CSR, Cynamid, NRMA Training Department, Waverly City Council, Ernst & Young Spain, Telecom New Zealand, CAECE University Argentina, Department of Prime Minister and Cabinet Australia, Department of Foreign Affairs and Trade Australia, Zurich Insurance Argentina, Reebok Australia, Randstad Australia, Westfield.

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Source: Global Digital Transformation Benchmarking PDF document

This document is part of the following Business Toolkit:

Digital Transformation View Details
 

Global Digital Transformation Benchmarking

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File Type: PDF (pdf)

File Size: 2.4 MB

Number of Pages: 159

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Initial upload date (first version): May 31, 2019
Most recent version published: Jun 2, 2019

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