1) The document discusses how digitization is rapidly changing supply chain management and creating a need for more data-driven leadership.
2) It finds that a majority of supply chain leaders feel their organizations are not well-positioned for digital transformation from a human capital perspective.
3) To fully benefit from digital disruption, companies will need to hire and train more digitally savvy leaders who have skills in areas like data analytics, as well as the ability to drive collaboration and change across an organization.
Digitization in supply chain managementHae-Goo Song
Many people are stressing the importance of digitization in SCM. Haven't we been trying to represent the real supply chain on the digital model for the last 25+ years? What's really new to supply chain management if we implement the digital enterprise? More importantly, what's the real opportunities from the supply chain management perspective?
Digitization will reinvent the world economy with individuals, businesses, and societies becoming
interconnected in real time. This new digital economy is more collaborative, intelligent,
responsive, and efficient, with dramatic increases in productivity and economic value.
The digital economy will transform the way we live and work, how business runs, and how society
functions – and it will do this in a timeframe that is much shorter than any other major economic
transition in history.
The Work Ahead: Transportation and Logistics Delivering on the Digital-Physic...Cognizant
The T&L industry appears poised to accelerate its long-overdue modernization drive, as the pandemic spurs an increased need for agility and resilience, according to our study.
Realising Digital’s Full Potential in the Value ChainCognizant
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AI in Media & Entertainment: Starting the Journey to ValueCognizant
Up to now, the global media & entertainment industry (M&E) has been lagging most other sectors in its adoption of artificial intelligence (AI). But our research shows that M&E companies are set to close the gap over the coming three years, as they ramp up their investments in AI and reap rising returns. The first steps? Getting a firm grip on data – the foundation of any successful AI strategy – and balancing technology spend with investments in AI skills.
The Work Ahead in Utilities: Powering a Sustainable Future with DigitalCognizant
Utilities are starting to adopt digital technologies to eliminate slow processes, elevate customer experience and boost sustainability, according to our recent study.
Digitization in supply chain managementHae-Goo Song
Many people are stressing the importance of digitization in SCM. Haven't we been trying to represent the real supply chain on the digital model for the last 25+ years? What's really new to supply chain management if we implement the digital enterprise? More importantly, what's the real opportunities from the supply chain management perspective?
Digitization will reinvent the world economy with individuals, businesses, and societies becoming
interconnected in real time. This new digital economy is more collaborative, intelligent,
responsive, and efficient, with dramatic increases in productivity and economic value.
The digital economy will transform the way we live and work, how business runs, and how society
functions – and it will do this in a timeframe that is much shorter than any other major economic
transition in history.
The Work Ahead: Transportation and Logistics Delivering on the Digital-Physic...Cognizant
The T&L industry appears poised to accelerate its long-overdue modernization drive, as the pandemic spurs an increased need for agility and resilience, according to our study.
Realising Digital’s Full Potential in the Value ChainCognizant
When we spoke with executives across Europe who lead digitising efforts, they described a diverse range of deployments, but digital can, and must, deliver far more than it has so far. In this ebook, we explore how businesses can explore digital's full potential across their value chain.
AI in Media & Entertainment: Starting the Journey to ValueCognizant
Up to now, the global media & entertainment industry (M&E) has been lagging most other sectors in its adoption of artificial intelligence (AI). But our research shows that M&E companies are set to close the gap over the coming three years, as they ramp up their investments in AI and reap rising returns. The first steps? Getting a firm grip on data – the foundation of any successful AI strategy – and balancing technology spend with investments in AI skills.
The Work Ahead in Utilities: Powering a Sustainable Future with DigitalCognizant
Utilities are starting to adopt digital technologies to eliminate slow processes, elevate customer experience and boost sustainability, according to our recent study.
Digital innovations can play a big role in SCM. We select four examples and amplify in this presentation. They are Competitors to Collaborate, Smart Systems to reduce Product Variety, Demand Sensing and Digital Twins. They can be customised to suit a given business segment or scenario and have the potential to be disruptive innovations.
Three Engagement Models for Embracing Digital in Life SciencesCognizant
Life sciences organizations must weigh their options for digital transformation. Here's an evaluative guide, with pros and cons and selection criteria, to three engagement models where digital innovation is either IT-centric, business-centric or managed by a 'new entity'.
Accelerate Business Growth and Outcomes with AICognizant
Here’s how 10 organizations are using AI to accelerate decision making, improve processes, enhance user engagement, reduce costs and drive business performance.
Using Adaptive Scrum to Tame Process Reverse Engineering in Data Analytics Pr...Cognizant
Organizations rely on analytics to make intelligent decisions and improve business performance, which sometimes requires reproducing business processes from a legacy application to a digital-native state to reduce the functional, technical and operational debts. Adaptive Scrum can reduce the complexity of the reproduction process iteratively as well as provide transparency in data analytics porojects.
Going Big : Why Companies Need to Focus on Operational Analytics Capgemini
Given that digitization had such a transformative effect on customer behavior and relationships, it is perhaps not surprising that many organizations focused their digital transformation efforts on the customer experience front-end. However, in the race to focus on the customer, it was all too easy to ignore operations. Our 2013 research with MIT Sloan Management Review found that while 40% of digital initiatives were focused on the customer experience, this dropped to 26% for operations.
Times are changing, however. Our latest survey of more than 600 executives from the US, Europe and China finds that over 70% of organizations now put more emphasis on operations than on consumer-focused processes for their analytics initiatives. Analytics in operations is increasingly seen as a strategic priority for organizations. Over 80% of respondents agreed that analytics in operations plays a pivotal role in driving profits or creating competitive advantage
The Work Ahead in Intelligent Automation: Coping with Complexity in a Post-Pa...Cognizant
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Shared Service Centers: Risks & Rewards in the Time of CoronavirusCognizant
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How Blockchain Can Slash the Manufacturing "Trust Tax"Cognizant
Blockchain-enabled smart contracts, distributed ledgers and immutable records are poised to reduce production costs, drive greater operational efficiencies, and unleash new business opportunities for manufacturers worldwide.
how i managed to Develop a Analytics story for services about 4 years back. Contains
Maturity Model, Business Potential, Services Structures Areas that analytics can be applied to
20150108 create time stamp
In today’s globalized, competitive marketplace, being able to leverage technology to deliver faster turnaround times, meet lower pricing goals and provide customizable options can mean the difference between sustainability and irrelevancy. In this ebook, we’ll explore some of the leading solutions transforming the manufacturing industry:
- Automation for cost savings
- 3D printing for improved productivity
- Smart data for quality assurance
- Connectivity for safety and communication
- Security solutions to protect it all
Learn more: http://ms.spr.ly/6006Twegg
Policy Administration Modernization: Four Paths for InsurersCognizant
The pivot to digital is fraught with numerous obstacles but with proper planning and execution, legacy carriers can update their core systems and keep pace with the competition, while proactively addressing customer needs.
Manufacturers were hard hit by COVID-19, but our research reveals the next best steps to take, based on the investments digital leaders in the industry have made and plan to make.
Cracking the Data Conundrum: How Successful Companies Make #BigData OperationalCapgemini
There is little arguing the benefits and disruptive potential of Big Data. However, many organizations have not fully embedded Big Data in their operations. In fact, our research shows that only 13% have achieved full-scale production for their Big Data implementations. The most troubling development is that most organizations are failing to benefit from their investments. Only 27% of respondents described their Big Data initiatives as “successful” and only 8% described them as “very successful”.
So, how can organizations make Big Data operational? There are many factors that go into the making of a successful Big Data implementation. However, the single biggest factor that we observed in our research was that organizations that have a strong operating model stood apart. This operating model has multiple distinct elements, which include, among others, a well-defined organizational structure, systematic implementation plan, and strong leadership support. For instance, success rates for organizations with an analytics business unit are nearly 2.5 times those that have ad-hoc, isolated teams. The report highlights the key factors for successful Big Data implementations.
Digital innovations can play a big role in SCM. We select four examples and amplify in this presentation. They are Competitors to Collaborate, Smart Systems to reduce Product Variety, Demand Sensing and Digital Twins. They can be customised to suit a given business segment or scenario and have the potential to be disruptive innovations.
Three Engagement Models for Embracing Digital in Life SciencesCognizant
Life sciences organizations must weigh their options for digital transformation. Here's an evaluative guide, with pros and cons and selection criteria, to three engagement models where digital innovation is either IT-centric, business-centric or managed by a 'new entity'.
Accelerate Business Growth and Outcomes with AICognizant
Here’s how 10 organizations are using AI to accelerate decision making, improve processes, enhance user engagement, reduce costs and drive business performance.
Using Adaptive Scrum to Tame Process Reverse Engineering in Data Analytics Pr...Cognizant
Organizations rely on analytics to make intelligent decisions and improve business performance, which sometimes requires reproducing business processes from a legacy application to a digital-native state to reduce the functional, technical and operational debts. Adaptive Scrum can reduce the complexity of the reproduction process iteratively as well as provide transparency in data analytics porojects.
Going Big : Why Companies Need to Focus on Operational Analytics Capgemini
Given that digitization had such a transformative effect on customer behavior and relationships, it is perhaps not surprising that many organizations focused their digital transformation efforts on the customer experience front-end. However, in the race to focus on the customer, it was all too easy to ignore operations. Our 2013 research with MIT Sloan Management Review found that while 40% of digital initiatives were focused on the customer experience, this dropped to 26% for operations.
Times are changing, however. Our latest survey of more than 600 executives from the US, Europe and China finds that over 70% of organizations now put more emphasis on operations than on consumer-focused processes for their analytics initiatives. Analytics in operations is increasingly seen as a strategic priority for organizations. Over 80% of respondents agreed that analytics in operations plays a pivotal role in driving profits or creating competitive advantage
The Work Ahead in Intelligent Automation: Coping with Complexity in a Post-Pa...Cognizant
Intelligent automation continues to be a top driver of the future of work, according to our recent study. To reap the full advantages, businesses need to move from isolated to widespread deployment.
Shared Service Centers: Risks & Rewards in the Time of CoronavirusCognizant
Our recent research reveals that organizations are reassessing the pros and cons of captive services. Companies are twice as likely to reduce than increase their use of shared service centers.
How Blockchain Can Slash the Manufacturing "Trust Tax"Cognizant
Blockchain-enabled smart contracts, distributed ledgers and immutable records are poised to reduce production costs, drive greater operational efficiencies, and unleash new business opportunities for manufacturers worldwide.
how i managed to Develop a Analytics story for services about 4 years back. Contains
Maturity Model, Business Potential, Services Structures Areas that analytics can be applied to
20150108 create time stamp
In today’s globalized, competitive marketplace, being able to leverage technology to deliver faster turnaround times, meet lower pricing goals and provide customizable options can mean the difference between sustainability and irrelevancy. In this ebook, we’ll explore some of the leading solutions transforming the manufacturing industry:
- Automation for cost savings
- 3D printing for improved productivity
- Smart data for quality assurance
- Connectivity for safety and communication
- Security solutions to protect it all
Learn more: http://ms.spr.ly/6006Twegg
Policy Administration Modernization: Four Paths for InsurersCognizant
The pivot to digital is fraught with numerous obstacles but with proper planning and execution, legacy carriers can update their core systems and keep pace with the competition, while proactively addressing customer needs.
Manufacturers were hard hit by COVID-19, but our research reveals the next best steps to take, based on the investments digital leaders in the industry have made and plan to make.
Cracking the Data Conundrum: How Successful Companies Make #BigData OperationalCapgemini
There is little arguing the benefits and disruptive potential of Big Data. However, many organizations have not fully embedded Big Data in their operations. In fact, our research shows that only 13% have achieved full-scale production for their Big Data implementations. The most troubling development is that most organizations are failing to benefit from their investments. Only 27% of respondents described their Big Data initiatives as “successful” and only 8% described them as “very successful”.
So, how can organizations make Big Data operational? There are many factors that go into the making of a successful Big Data implementation. However, the single biggest factor that we observed in our research was that organizations that have a strong operating model stood apart. This operating model has multiple distinct elements, which include, among others, a well-defined organizational structure, systematic implementation plan, and strong leadership support. For instance, success rates for organizations with an analytics business unit are nearly 2.5 times those that have ad-hoc, isolated teams. The report highlights the key factors for successful Big Data implementations.
Executive Overview
Analytic strategies are at the core of digital innovation. It is a building block in digital manufacturing, autonomous supply chains, and digital path to purchase. New forms of analytics are defining new capabilities.
Traditional supply chains do not sense. They respond. The response is usually late, and out of step with the market. Today’s supply chains are dependent on structured data and Excel spreadsheets. Despite spending 1.7% of revenue on Information Technology (IT), Excel ghettos are scattered across the organization. Most organizations are held hostage by long and grueling ERP implementations only to find out at the end of the project that the business users cannot get to the data.
The traditional supply chain paradigm is an extension to the three-letter acronyms which dominated the client-server architected world of the 1990s—ERP, APS, PLM, SRM, and CRM—while the more enlightened business user understands that analytics are not an extension of yesterday’s alphabet soup.
Historically, analytics has only meant reporting. In contrast, today, analytic strategies are at the core. As analytics capabilities morph and change, analytics technologies are at the core of the architecture, sandwiched between the conventional applications and workforce productivity tools as shown in Figure 2.
Figure 2. Analytic Strategies at the Core of Digital Transformation
Current State
Today, the focus of analytics implementations is on data visualization, unstructured data mining, and data lake technologies. As will be seen in this report, this is rapidly changing. Within five years, the most disruptive technologies will be Blockchain and cognitive computing. New forms of analytics will make many of today’s technology approaches obsolete. Few companies, mainly early adopters, are working in these areas.
Copyright Notice:
This presentation is prepared by Author for Perbanas Institute as a part of Author Lecture Series. It is to be used for educational and non-commercial purposes only and is not to be changed, altered, or used for any commercial endeavor without the express written permission from Author and/or Perbanas Institute. Appropriate legal action may be taken against any person, organization, or entity attempting to misrepresent, charge, or profit from the educational materials contained here.
Authors are allowed to use their own articles without seeking permission from any person, organization, or entity.
Digital Supply Chain - Insights on Driving the Digital Supply Chain Transform...Lora Cecere
Executive Summary
It started with the internet, and the drum beat continues. Mobile. Social. Cloud. Digital Products. Telematics. The Internet of Things. The list of enablers is endless.
Over the last decade, digital marketing departments quickly took advantage of new technologies to power marketing capabilities. As a result, companies have new products and services; but, over the last decade there has been little change in supply chain processes.
There is a great divide in organizations today. There are digital teams in marketing while there are traditional supply chain processes in operations. Many supply chain leaders are asking how they digitize their supply chain practices. This report is designed to help. Here we share a five-step process to get started, and we provide insights from recent research on how to transform manufacturing processes.
What Is Digital Business?
Digitization transforms businesses. A digital business model uses new forms of technology to create new forms of revenue and business value. It is about the use of combinations of technologies to sense changes in real-time and shape a meaningful output.
Digital business is about much, much more than the redefinition of business processes for B2B and B2C. While e-business strategies are foundational, and necessary, it is about more than e-business. In today’s supply chain, while B2C models are well defined and new supply chain models have embraced and redefined e-commerce delivery, B2B processes lag B2C. Today, only 9% of B2B commerce business flows through business networks. There are no digital B2B officers. Companies have been slow to adopt new forms of B2B.
If You Want To Save Money And Improve Your Supply Chain Strategy, Go DigitalGroup50 Consulting
A digital supply chain provides much greater insight into its components and processes than analog ones. Organizations are better able to prevent disruptions and improve supplier performance by monitoring their status in real time. In addition, digital supply chains are customer-centric, allowing firms to gain a deeper understanding of customer requirements and take appropriate action to improve service quality.
Driving Digital Supply Chain Transformation - A Handbook - 23 MAY 2017Lora Cecere
Insights on driving a digital transformation based on research on new technologies, advisory work with clients, and quantitative research projects. This is a short handbook to help companies get started on their journey to define the digital supply chain.
Leap Ahead In Your Retail Game With Digitalised Supply ChaineTailing India
The application of emerging technologies in supply chains can help organisations better fulfill the needs of their customers. Hence, this week, we are going to study on the changing efficiency of the logistics network in our Logistics Week Series. Here is our 1stpart of the series where we try to understand the impact of digitalisation on supply chain.
Elevate with Intelligent Supply Chain | SlideShare | AccentureAccenture Operations
Accenture's presentation shows CSCOs can accelerate their journey to operational maturity as they embrace the future of supply chain operations. Read more
People — Not Just Machines — Will Power Digital InnovationCognizant
As new technologies cause value chains to rapidly evolve and organizational boundaries to blur, human roles and tasks are also digitizing, as machines alter how knowledge work is performed.
Revolutionize retail operations with Dynamics 365, the ultimate solution designed to elevate the business to new heights. Seamlessly integrate sales, customer data, and inventory management for unparalleled efficiency and customer satisfaction. Embrace innovation and stay ahead of the competition with Dynamics 365 for Retail.
How Intelligent Operations Enables Proactive Data Center ManagementITOutcomes
CIOs often live and die by the data center’s performance and availability numbers.
Nine out of 10 respondents to a 2014 survey of data center professionals showed that service availability is highly critical to their performance.
But at the same time, 41 percent of organizations missed their service availability goals for mission-critical systems in 2013. Not surprisingly, organizations with higher service availability goals were significantly less successful in meeting their goal.
But here’s a new way of thinking about improving data center metrics: IT departments should no longer be concerned with improving system performance and reducing downtime for its own sake. Rather, consider these as metrics for enabling IT to deliver more of what the business needs, when it needs it.
In other words, it’s time to transform infrastructure and application measurements from tactical to strategic metrics.
We conducted a groundbreaking survey of the UK’s data and business professionals to get a snapshot of the state of the world of data, uncover some of the issues facing the industry and get a sense of the changes on the horizon. The results were enlightening, and in some cases, very surprising.
Find out:
Why nearly a third of IT Directors feel their organisation uses data poorly
What the hybrid data manager of the future will look like
Why understanding customer behaviour remains the holy grail for so many
We conducted a ground-breaking survey of the UK’s data and business professionals to get a snapshot of the state of the world of data, uncover some of the issues facing the industry and get a sense of the changes on the horizon. The results were enlightening, and in some cases, very surprising.
Similar to Digitization of the Supply Chain_How Ready Are You (20)
2. 2
Executive Summary
While supply chain executives have often led the market in the adoption of technology, today’s increasing
proliferation of data, on everything from material flows to customer preferences, is rapidly changing the way
companies do business, highlighting a powerful need for enhanced data management, analytics and talent. In
fact, the way organizations capture and use data is changing the manner in which those organizations work,
creating a substantial difference in efficiency, costs and customer satisfaction.
Through primary research and confidential interviews with chief executive officers (CEOs) and business leaders,
Russell Reynolds Associates explored the essential human capital component of this digital transformation in the
supply chain. We aimed to shed new light on the capabilities required to manage digitization in the supply chain—
and the skills that will be most critical in the future.
Our research indicates that the majority of supply chain leaders feel their organization is not yet well-positioned
from a human capital standpoint to embrace digital supply chain transformation. As one consumer packaged
goods (CPG) executive shares, “Supply chain leaders need to have an improved understanding of digital. The
whole process flow, from forecasting to delivery, needs to be integrated from end to end—this is where supply
chain leaders can step up and drive change.”
To fill this gap and allow companies to fully benefit from digital disruption, it will be essential to hire, train and
enable more digitally savvy leaders. A few strategically placed personnel can make all the difference—people who
can bring experience and a fresh way of thinking in leveraging technology to uncover insights.
Four elements will matter most for digitally empowered supply chain leadership: strong technical capabilities, the
ability to collaborate and drive change across the organization; cross-functional and global business experience,
and the flexibility to continue to learn and grow, mentoring others along the way (see Exhibit 1). In order to
achieve success, however, an underlying principle must be in place: the full support and commitment of the
organization, from the top down, enabling new leaders to harness the power of a demand-driven supply chain.
“Supply chain leaders need to have an improved understanding of
digital. The whole process flow, from forecasting to delivery, needs to
be integrated from end to end—this is where supply chain leaders can
step up and drive change.” – Global CPG business leader
Exhibit 1
Four elements that matter for supply chain leadership in the digital
age:
1. A firm understanding of data and systems technologies
2. An influential and collaborative approach
3. Cross-functional and global experience
4. The ability to develop new skills and train others
R507113-rr-0056-Is Your Supply Chain Team Digital or Analog DRAFT 09.indd 2 21/07/2015 15:17
3. 3
1 White, Andrew, “Master data! Master data! My supply chain for master
data!” CSCMP’s Supply Chain Quarterly, Q2 2013, page 4
2 Ibid., page 29
A New Digital Paradigm
Businesses are facing a revolutionary paradigm around
big data, with a deluge of transactional information
coming from multiple fronts—social media, mobile
devices, corporate purchasing, point of sale, GPS
mapping and product sensors. The torrent of newly
available information can be overwhelming, particularly to
companies not yet accustomed to data management and
advanced analytics.
Supply chain leadership that understands and can
harness these inputs can create a powerful competitive
advantage along the entirety of the supply chain, leading
to reduced lost sales, increased efficiency and improved
speed to market. With the right talent in place, along with
the appropriate technologies and tools, the data collected
and leveraged can offer visibility across the supply chain.
More than that, data can allow organizations to develop
an end-to-end perspective on the way a supply chain can
and should be structured—including the staging of raw
materials and finished goods to serve the customer more
effectively, a move toward a true demand-driven supply
chain.
Some organizations already are driving productivity along
the entire length of the enterprise supply chain, making
data and analytics a source of competitive differentiation1
.
New data visualization tools, for example, are being used
to interrogate and interpret data for decision-making
purposes, helping supply chains become more responsive
to their customers and end consumers and allowing real-
time reallocation of human resources and the tracking
and tracing of materials throughout the value chain. This
different way of operating, in turn, allows leadership to
control predictive capabilities and manage contemporary
supply chains far more proactively than in the past, when
managing by exception and “alerts” was considered best
practice.
Good data lead to efficient supply
chains, allowing resources to be
spent on innovating rather than
on coping with problems2
.
R507113-rr-0056-Is Your Supply Chain Team Digital or Analog DRAFT 09.indd 3 21/07/2015 15:17
4. 4
The Importance of Human Capital
Supply chain leaders were pioneers in the early use of data to enhance the
supply chain1
. These leaders began to implement tools and technologies in the
1990s and early 2000s to exploit the power of data, supporting the evolution of
the supply chain from traditional silo models to interconnected networks. This
initial investment in tools and technologies allowed leading-edge supply chain
organizations to leverage data as a comparative advantage in the marketplace
through the development of inventory baselines and improved replenishment.
In today’s market, the pace of change is far faster, and the sources and scale of data
have evolved tremendously. Businesses are moving quickly to capture, analyze
and utilize data to their advantage. As a result, “There is huge demand for analytics
skills and insights into what is happening in the supply chain through network
visualization, modeling and optimization,” one third-party logistics (3PL) business
leader points out.
Even as new tools and technologies allow businesses to improve their
understanding and control of data, the importance of human capital is increasingly
clear. Without the right leadership in place to garner the appropriate insights and
leverage that knowledge to generate competitive advantage through the supply
chain, success will be muted. It, therefore, is essential to ensure that supply
chain leaders have the skills and experience to take full advantage of tools and
technologies and to bring a new way of thinking and operating to the organization.
As one global CPG business leader points out: “It no longer is acceptable to be just a
planning or manufacturing or procurement leader—supply chain leaders must think
and employ technology end to end.”
1 Taylor, Jim, “The Era of Big Data – Leveraging the Supply Chain as a Strategic Weapon,” Blog, 2013
“There is huge demand
for analytics skills and
insights into what is
happening in the supply
chain through network
visualization, modeling
and optimization.” – 3PL
business leader
“It no longer is
acceptable to be
just a planning or
manufacturing or
procurement
leader—supply
chain leaders must
think and employ
technology end to
end.” – Global CPG
business leader
R507113-rr-0056-Is Your Supply Chain Team Digital or Analog DRAFT 09.indd 4 21/07/2015 15:17
5. 5
Who’s ready?
With this human element in mind, Russell Reynolds
Associates interviewed business leaders across
industries about the implications of today’s
increasingly digital world on the role of the chief supply
chain officer and on the interaction of the supply chain
leader with other executives in the C-suite. In addition,
we analyzed the profiles of more than 50 senior supply
chain executives across a range of industries to see
how well-positioned they were for the digitization of
the supply chain.
We found that an overwhelming majority of executives
in companies across disparate industries consider their
organization lacking when it comes to their position
on what might be termed the “digital preparedness
continuum” (see Exhibit 2).
Our analysis of senior supply chain executives from
the healthcare, consumer goods, retail, automotive
and technology industries found that, on average,
only 13 percent are “well-positioned,” as defined by
the criteria in Exhibit 2, to address the opportunities
and challenges of digitization in the supply chain.
Furthermore, 57 percent of the supply chain executives
we surveyed have no prior experience working in an
e-commerce, manufacturing technology, information
technology (IT) and/or industrial engineering role (see
Exhibit 3).
Exhibit 2
DIGITAL PREPAREDNESS CONTINUUM
Well-Positioned Relatively Well-Positioned No Prior Experience
A supply chain leader who has had
at least one digital experience or at
least two different prior experiences in
technology, information systems,
and/or industrial engineering
A supply chain leader who
has had one prior experience
in technology, information
systems and/or industrial
engineering
A supply chain leader without
any experience in technology,
information systems or
industrial engineering
Exhibit 3
Positioning of senior
supply chain executives on
digitization of the supply chain
No Prior Experience in Technology
or Digital Roles
Relatively Well-Positioned
Well-Positioned
13%
30%
57%
R507113-rr-0056-Is Your Supply Chain Team Digital or Analog DRAFT 09.indd 5 21/07/2015 15:17
6. 6
When it comes to pure digital or e-commerce experience, most businesses are facing an even larger gap. Only
7 percent of surveyed supply chain executives have pure digital experience in a significant operating role with
a primary business function related to web-based, social, mobile device, cloud, SaaS, big data or e-commerce
responsibilities (see Exhibit 4).
Interestingly, outside of supply chain, there are a number of unique roles emerging within organizations, such
as chief digital officer and chief data scientist, to help harness the power of data. Even The New York Times has
hired its own chief data scientist—Columbia University applied mathematician Chris Wiggins—to predict which
customers might potentially unsubscribe1
. These new types of roles reflect “the digital reality of business today
and the need to blend digital and business savvy,” according to Michael Fitzgerald in the MIT Sloan Management
Review2
. Digitally empowered roles and digital experience are becoming increasingly important across functions.
1 Regalado, Antonio, “Unsubscribing? The New York Times Wants to Predict That,” February 12, 2014
2 Fitzgerald, Michael, “Is the chief digital officer position the new path to the chief executive title?” MIT Sloan Management Review,
November 1, 2013
Exhibit 4
Experiences of Surveyed Senior Supply Chain Executives in technology,
industrial engineering, Information Systems and/or Information
Technology, and digital and/or e-commerce
Industrial
Engineering
16%
Digital and/or
E-commerce
Information Systems
and/or
Information Technology
7%7%
Technology
21%
“Supply chain leaders need to know how to connect the dots through
the whole business—and they need to speak the digital language.” –
Regional CPG business leader
R507113-rr-0056-Is Your Supply Chain Team Digital or Analog DRAFT 09.indd 6 21/07/2015 15:17
7. 7
Talent Implications:
What Business Leaders Think
Our primary research further identified four key
characteristics that supply chain leaders should
possess in the era of digital disruption:
A firm understanding of data and
systems technologies
Today’s businesses are able to gain profound insights
into customer behavior through data analytics and
the collection of data through digital means. While
chief supply chain officers are not required to be
information technology experts, they should have
enough knowledge about data gathering, technology
and analytics to lead the conversation and provide
a digital vision for supply chain teams. Supply chain
leaders should recognize how pertinent platforms
and processes are implemented and utilized—
including demand forecasting, inventory management
programs, sales and operations planning processes,
and transportation management systems. Leaders
also should demonstrate a solid understanding of
the scope and scale of data from diverse channels.
Importantly, they must be prepared to act intelligently
on data .
An influential and collaborative
approach
The days of supply chain leadership working
successfully in a silo are long gone. The chief supply
chain officer touches every part of the business—from
raw material and product supply to manufacturing
operations, logistics and customer delivery.
Internally, supply chain leadership must be able
to communicate and collaborate with the chief
technology officer to help determine the appropriate
technologies and policies for the organization. The
chief supply chain officer, in particular, needs to
be able to cooperate with the chief data officer to
understand how data are best captured and used. This
chief supply chain officer also must be able to interact
with the chief marketing officer to understand how
the supply chain can be more customer focused and
demand driven. Ultimately, this executive will need to
be able to build bridges with both internal stakeholders
and external suppliers.
Cross-functional and global experience
Companies are moving away from hiring specialized
talent for the supply chain role and, instead, are
looking at candidates with broader experience who
can understand and communicate with people from
multiple business functions. Today, it is important that
chief supply chain officers have knowledge across a
broad range of functions, including non-traditional
disciplines like sales, finance or technology in
addition to more common areas such as procurement,
manufacturing or logistics.
Further, familiarity with multiple countries and
cultures is extremely beneficial and tends to bring
an appreciation for different backgrounds, ideas and
approaches that can be invaluable in today’s fast-
changing business world.
The ability to develop new skills and
train others
Today’s chief supply chain officer must stay abreast of
the latest technologies, ensuring that the organization
appropriately incorporates digital skills and digitally
minded talent. One of the biggest mistakes that
companies make is to implement a data management
solution without properly preparing the organization.
Tools alone do not drive results—people must be
developed and trained to use those tools. Establishing
internal programs to ensure an adoption of skills
across the supply chain is critical. The chief supply
chain officer is not excluded from this requirement,
as digitization of the supply chain should be driven
from the top down. As one global CPG business leader
puts it, “If you are not learning and training, then your
organization is on a fast journey to becoming obsolete.”
“If you are not learning and
training, then your
organization is on a fast
journey to becoming obsolete.”
– Global CPG business leader
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8. 8
Where to look
Finding versatile and uniquely experienced supply chain leadership is no easy task. It will be essential to look
within those industries that already are on the cutting edge of digitization such as retail, consumer goods and
e-commerce. Talent from technology companies also are considered well-positioned. Many of tomorrow’s supply
chain leaders are likely to come from these industries or specializations.
Our research, which looked at digital experience across industries, found that in terms of talent, the consumer
goods industry is perhaps best prepared for digitization in the supply chain, with 86 percent of executives being
“well-positioned” or “relatively well-positioned,” having previously worked in a role related to manufacturing
technology, IT systems or industrial engineering (see Exhibit 5). As one third-party logistics business leader shares,
“CPG is advanced with respect to shelf visibility, demand sensing and segmentation. They are very good as an
industry.”
“CPG is advanced with respect to shelf visibility, demand sensing and
segmentation. They are very good as an industry.” – 3PL business
leader
Exhibit 5
Positioning of senior supply chain executives on digitization of the
supply chain by industry
No Prior Experience
Relatively Well-Positioned
Well-Positioned
AutomotiveRetailHealthcareTechnologyConsumer
Goods
N=14
14%
50%
36%
N=10
20%
30%
50%
N=11
55%
45%
N=8
37%
63%
N=13
8%
92%
N=number of supply chain executives
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9. 9
A Step Ahead: Retail and Consumer Goods Manufacturers
One organization that has been particularly successful in connecting its
supply chain to the store shelf is Kimberly-Clark1
. This global consumer
products business now generates shipment forecasts based on point-of-sale
data, resulting in a reduced supply chain footprint and correspondingly lower
inventory and increased service levels.
Another company that has succeeded in digitizing its supply chain is the
New York-based women’s and men’s fashion apparel firm Liz Claiborne,
with brands available in more than 20,000 retail locations worldwide. Liz
Claiborne uses the GXS cloud service to transact electronically with major
retailers and suppliers2
. The company also has developed an electronic global
product catalog to manage the more than half a million SKUs generated each
season, enabling unique product information to be communicated to retail
customers. These initiatives have allowed Liz Claiborne to reduce cycle times
substantially and provide decision makers with nearly real-time information.
In addition to providing access and information for customers, digital supply
chains harness the power of data to enable insights and predictive analytics.
Amazon’s “anticipatory shipping” is a good example: With data collected
from previous orders and other variables, products are staged in different
geographies in anticipation of customer purchase. This pre-staging of packed
orders reduces shipping time, decreases potential lost sales and further
develops customer satisfaction in a scheme that lays the groundwork for a
one-to-one customer and retailer relationship.
1 Cooke, James A., “Kimberly-Clark connects its supply chain to the store shelf,” CSCMP’s
Supply Chain Quarterly, Q1 2013, pages 42-44
2 “Liz Claiborne Turns to GXS to Digitise Its Supply Chain,” www.gxs.co.uk
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10. 10
Conclusion
Driving Digital Culture from the Top Down
As customers and end consumers demand higher service and greater channel
access, the importance of digitization within supply chain and talent who know
how to harness insights will only continue to increase. Bringing new leaders into
the supply chain and ensuring their success require buy-in and commitment
throughout the organization.
Digital transformation across the supply chain is more than just technology and IT.
Starting with the CEO and executive committee, the organization must be prepared
to support a fresh way of thinking, fostering a culture that is open to innovation and
technology and willing to challenge convention about the way the supply chain is
managed.
With billions of connected devices across supply networks contributing real-time
information on service requirements, location and inventory allocation and even
enabling anticipatory demand, executive leadership that understands and embraces
the power of digital disruption is critical to future-state supply chain advantage.
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