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HubSpot
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Akamai
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HubSpot
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HubSpot
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Adobe Analytics
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HubSpot
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www.cgi.com
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HubSpot
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www.cgi.com
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www.cgi.com
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Provider
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Meta
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tiktok_ads_id
Tiktok
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LinkedIn
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1 Year
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li_c_user
LinkedIn
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Google Analytics
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365 Days
First and third party
ms_ta*
Bing
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Google Analytics
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365 Days
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s_ppv
Adobe
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tiktok_pixel
Tiktok
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13 Months
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HubSpot
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30 Minutes
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gpy_pn
Adobe
Used to store and retrieve the previous page in Adobe Analytics.
6 Months
Third party
__utmc
Google Analytics
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365 Days
First party
s_tslv
Adobe
Used to retain and fetch time since the last visit in Adobe Analytics
6 Months
Third party
_ga_LC0YVRL587
Google Analytics
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1 Year
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Google Analytics
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365 Days
First party
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Facebook
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365 Days
Third party
sc_hit
SnapChat
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13 Months
Third party
mf_[website-id]
Mouseflow
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Session
First party
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Simpli.fi
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30 Days
Third party
s_pltp
Adobe
Provides page name value (URL) for use by Adobe Analytics
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Third party
s_tp
Adobe
Tracks percent of page viewed
2 Years
Third party
mf_user
Mouseflow
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3 Months
First party
__utmz
Google Analytics
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365 Days
First party
s_plt
Adobe
Tracks the time that the previous page took to load
Session
Third party
vuid
Vimeo
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365 Days
Third party
_fbp
Meta
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30 Days
Third party
_gid
Google Analytics
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1 Day
Third party
_hjid
Hotjar
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365 Days
First party
simpli.fi_id
Simpli.fi
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30 Days
Third party
gpv_pn
Adobe
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2 Hours
Third party
_gat_UA-114077998-1
Google Analytics
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365 Days
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Appcast
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30 Days
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appcast_visitor
Appcast
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30 Days
Third party
li_cs
LinkedIn
This cookie is used to track your interactions with ads that are powered by LinkedIn. It is stored for 1 year.
1 Year
Third party
RT
Boomerang
It measures page load time, or other timers associated with the page.
365 Days
First party
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HubSpot
This cookie records a unique identification which is used to generate statistical data about how the visitor uses the Website.
Session
First party
AnalyticsSyncHistory
LinkedIn
Used to store information about the time a sync with the lms_analytics cookie took place for users in the Designated Countries
30 Days
Third party
ai_session
Microsoft Azure
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Session
First party
__utma
Google Analytics
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365 Days
First party
__hstc
HubSpot
The main cookie for tracking visitors. It contains the domain, utk, initial timestamp (first visit), last timestamp (last visit), current timestamp (this visit), and session number (increments for each subsequent session).
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First party
ai_user
Microsoft Azure
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1 Year
First party
_gclxxxx
Google Analytics
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365 Days
First party
aam_uuid
Adobe
Set for ID sync for Adobe Audience Manager
30 Days
Third party
_gid
Google Analytics
This cookie name is associated with Google Universal Analytics. This appears to be a new cookie and as of Spring 2017 no information is available from Google. It appears to store and update a unique value for each page visited.
365 Days
First and third party
ms_u*
Bing
These cookies are used to track your activity on websites that have the Bing Pixel installed. They are stored for 1 year.
1 Year
Third party
lms_analytics
LinkedIn
Used to identify LinkedIn Members in the Designated Countries for analytics
30 Days
Third party
__utmt
Google Analytics
This cookie is set by Google Analytics. According to their documentation it is used to throttle the request rate for the service - limiting the collection of data on high traffic sites. It expires after 10 minutes
365 Days
First party
appcast_session
Appcast
This cookie is used to track your session on the Appcast website. It is deleted when you close your browser.
30 Days
Third party
__hssrc
HubSpot
Whenever HubSpot changes the session cookie, this cookie is also set to determine if the visitor has restarted their browser. If this cookie does not exist when HubSpot manages cookies, it is considered a new session. It contains the value "1" when present.
Session
First party
hubspotutk
HubSpot
This cookie enables us to deliver the service and or response that individuals needs and expects from us, in a seamless manner
6 Months
First party
mf_user
Mouseflow
1st party cookie, persistent: A cookie for checking if the user is new or returning
90 Days
First party
s_ips
Adobe
Tracks percent of page viewed
Session
Third party
__hjSessionUser_204526
HubSpot
Hotjar cookie that is set when a user first lands on a page with the Hotjar script. It is used to persist the Hotjar User ID, unique to that site on the browser. This ensures that behavior in subsequent visits to the same site will be attributed to the same user ID.
Session
First party
_gat_UA-nnnnnnn-nn
Google Analytics
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365 Days
First party
_gat_UA-399437-1
Google Analytics
This is a pattern type cookie set by Google Analytics, where the pattern element on the name contains the unique identity number of the account or website it relates to. It appears to be a variation of the _gat cookie which is used to limit the amount of data recorded by Google on high traffic volume websites.
365 Days
First party
sc_gpt
SnapChat
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13 Months
Third party
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Name
Provider
Purpose
Expiry
Type
sp_t
Spotify
The sp_landing is set by Spotify to implement audio content from Spotify on the website and also registers information on user interaction related to the audio content.
364 Days
Third party
bcookie
LinkedIn
Browser Identifier cookie to uniquely identify devices accessing LinkedIn to detect abuse on the platform.
365 Days
Third party
dpm
Adobe marketing cloud
The cookie is used for targeted advertising and marketing. Domain is owned by Adobe Audience Manager.
365 Days
Third party
NID
Google Ads Optimization
This is a Google cookie that allows a company, such as CGI, to target advertising to users who have signed out of their service. A cookie allows CGI to show you useful content on Google services. By accepting marketing cookies, you authorize Google to process your information. You can also influence your own information or withdraw your consent in the Google services settings or by modifying your cookie settings from this cookie manager (link at the bottom of the page). Learn more: https://policies.google.com/technologies/cookies
365 Days
Third party
lissc
LinkedIn
Used by the social networking service LinkedIn for tracking the use of embedded services.
365 Days
Third party
UserMatchHistory
LinkedIn
This domain is owned by LinkedIn, the business networking platform. It typically acts as a third party host where website owners have placed one of its content sharing buttons in their pages, although its content and services can be embedded in other ways. Although such buttons add functionality to the website they are on, cookies are set regardless of whether or not the visitor has an active LinkedIn profile, or agreed to their terms and conditions. For this reason it is classified as a primarily tracking/targeting domain.
365 Days
Third party
_gcl_au
HubSpot
Google Adsense to store and track conversions.
89 Days
Third party
c
Cision
This domain is owned by IPONWEB and is used to provide a real time bidding platform for online advertising.
184 Days
Third party
_gcl_au
Google Adsense
Used through Google Analytics to understand user interaction with the site and advertising
3 Months
Third party
_fbp
Facebook
Used by Facebook to deliver a series of advertisement products such as real time bidding from third party advertisers
365 Days
Third party
IDE
Google DoubleClick
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2 Years
Third party
lidc
LinkedIn
This domain is owned by LinkedIn, the business networking platform. This cookies is used to facilitate data center selection.
365 Days
Third party
ln_or
LinkedIn
Used to determine if Oribi analytics can be carried out on a specific domain
1 Day
Third party
uuid
MediaMath
MediaMath uses cookies to help recognize a computer or device so that they can deliver relevant advertising to you, measure the impact of that advertising and better understand and recognize digital media usage patterns.
13 Months
Third party
_cc_aud
Lotame
We use this cookie to target advertising that is appropriate for you through the Adform service. This domain is owned by Lotame. The cookie can be used to collect the following information: Cookie ID, Mobile Advertising ID, Partner ID, browser and device information, IP address and analytics information about the functionality of advertising. By accepting cookies, you allow Adform and Lotame to process your cookie information. You can influence the processing of your information by contacting dpo@adform.com or modifying your cookie settings.
365 Days
Third party
AMCVS_*
Adobe experience cloud
Indicates the start of a session for Adobe Experience Cloud
Session
Third party
c_user
Facebook
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3 Months
Third party
bscookie
LinkedIn
This cookie is used for remembering that a logged in user is verified by two factor authentication and has previously logged in.
365 Days
Third party
_fbp
HubSpot
Used by Facebook to deliver a series of advertisement products such as real time bidding from third party advertisers
3 Months
Third party
lms_ads
LinkedIn
Used to identify LinkedIn Members off LinkedIn in the Designated Countries for advertising
30 Days
Third party
AMCV_*
Adobe experience cloud
Unique Identifier for Adobe Experience Cloud
180 Days
Third party
datr
Facebook
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2 Years
Third party
sb
Facebook
Facebook – Allows Facebook to recover your account in the event that you forget your password, or to require additional authentication if you tell us that your account has been hacked.”sb” and “dbln” cookies enable Facebook to identify your browser securely.
2 Years
Third party
RUL
Google DoubleClick
Used by Google DoubleClick to determine whether website advertisement has been properly displayed.
1 Year
Third party
personalization_id
X
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2 Years
Third party
GPS
Youtube
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365 Days
Third party
liap
LinkedIn
This cookie locates LinkedIn functionalities in the page and share the Website information on social networks.
1 Year
Third party
demdex
Adobe marketing cloud
This cookie helps Adobe Audience Manger perform basic functions such as visitor identification, ID synchronization, segmentation, modeling and reporting
365 Days
Third party
A3
Yahoo
This domain is owned by Yahoo, whose principal business is Search and Advertising Services.
365 Days
Third party
_gcl_aw
Google Adsense
to provide ad delivery or retargeting.
90 Days
Third party
sp_landing
Spotify
The sp_landing is set by Spotify to implement audio content from Spotify on the website and also registers information on user interaction related to the audio content.
23 Days
Third party
li_sugr
LinkedIn
Used to make a probabilistic match of a user's identity outside the Designated Countries
90 Days
Third party
_kuid_
Salesforce.com
We use this cookie to target advertising that is appropriate for you online. This domain is owned by the Krux Digital.
365 Days
Third party
xs
Facebook
Session cookies are c_user and xs. c_user stores the username and the xs session secret, these two cookies together determine whether the user is logged in or not.
3 Months
Third party
_guid
LinkedIn
Used to identify a LinkedIn Member for advertising through Google Ads
Digital transformation in manufacturing requires a different view on people
6 min read
At CGI, we have strong collaborations with universities and academic institutions worldwide to drive forward innovation and research and help inspire the next generation of IT professionals. In the Netherlands, we have partnered with the Fraunhofer Innovation Platform for Advanced Manufacturing at the University of Twenteto work together on innovative data-driven projects in manufacturing.
In this recent article published in the InnovatieNu 07 / Fraunhofer Innovation Platform, a university publication, CGI’s Fokke van Houten, Director, Consulting Expert in Asset Performance Management & Maintenance, discusses the intersection of people, technology and manufacturing and the future of the manufacturing workplace.
How is the digital transformation within manufacturing affecting the industry’s workforce? The implications could be more far-reaching than suspected.
How can manufacturers anticipate this?
Digitization is a top priority for the industry. Why? Because of continuously changing customer demand and increasing expectations for product diversity, quality, safety and sustainability. This requires efficient, effective and adaptive manufacturing processes.
Transformation to a desirable level of digitization is a major challenge for many manufacturers. The phased and structured implementation of new technologies in the production domain that both fit the needs of the current situation and also contribute to desirable professionalism is challenging enough.
The human factor plays an important role within manufacturing processes today and will continue to do so for the foreseeable future. Of course, the playing field is changing, and a digitized production environment places different demands on workers in terms of knowledge and skill levels, but people will continue to be indispensable for manufacturers and production companies.
The human factor plays an important role within manufacturing processes today and will continue to do so for the foreseeable future.
Digitization of the production domain calls for focusing on all POTI aspects (Process, Organization & People, Technology, and Information & Data). This article focuses on the organizational and people aspect.
The four key aspects of digital transformation are Process, Organization & People, Technology, and Information & Data (POTI)
What are the key workforce-related developments in manufacturing?
Aging workforce
Over the past decade, the workforce, measured by people between the ages of 15 to 75, has grown by more than half a million. This will decrease to only 130,000 people in the next 10 years. The effect of a higher retirement age is minimal. This means that the number of people between the ages of 15 and 75 will also continue to decrease. At the same time, the proportion of older people within the workforce is increasing. In general, older workers work less often and also fewer hours per week. Whether this aging will lead to a shortage of workers depends on the number of people working, the number of hours that people work and labor productivity needs versus actual labor productivity. (source CBS).
Digital transformation of the production domain will not result so much in higher labor productivity, but rather in higher labor efficiency and effectiveness. In other words: the ability to achieve the same production with less labor. But does that fully mitigate the adverse effects of aging? Digitization of the production domain requires significant investment that will have to show returns, leading to pressure on the revenue model. A possible consequence is a need to produce more which again increases the need for people.
Digital transformation of the production domain will not result so much in higher labor productivity, but rather in higher labor efficiency and effectiveness.
Tight labor market
Currently, the labor market is already tight. One of the implications for employers is the challenge of remaining relevant and interesting enough for the current population of employees. With the departure of employees, a lot of knowledge and experience often walks out the door, leading to capacity challenges and jeopardizing competitiveness. So, it is essential to retain existing employees. We see that turnover is relatively low in companies that continuously pay attention to employee well-being.
However, employee well-being is not only influenced by primary and secondary benefits. Paying attention to the person behind the employee and their needs is also important. A sufficiently challenging role aligned with the employee’s needs and capacity, including associated tasks and responsibilities, keeps motivation and commitment high. This is exactly why the human factor is an integral part of change. Fortunately, digital transformation offers plenty of opportunities for employees to advance to appropriate and challenging roles.
A sufficiently challenging role aligned with the employee’s needs and capacity, including associated tasks and responsibilities, keeps motivation and commitment high.
Need for knowledge retention and development
A higher degree of digitization within production requires personnel with a higher level of knowledge and competence. This does not necessarily mean different personnel, but it does mean that continued development of the skill and knowledge level of the current workforce should be high on the agenda of manufacturing companies. There will have to be a shift to a different type of workforce as the production environment continues to digitize. It is crucial to ensure the right balance between the “maturity” of the production environment and the duties and responsibilities of employees. A clear and concrete transition plan for digital production maturity helps tremendously in this regard.
Focusing on the recruitment of new employees remains as important as ever. More and more manufacturing companies are looking to connect with colleges and universities to inspire students about jobs within manufacturing. When students are involved early on in the process of digital transformation at manufacturing companies and make a significant contribution, it increases the likelihood of employers hiring thereafter.
Manufacturing companies lose valuable knowledge when employees leave and are trying to secure this knowledge in various ways. Digital transformation offers opportunities and solutions for this as well. Examples range from basic solutions such as securing knowledge using processes, flow charts and instructional videos. Similar solutions are often found in manufacturing companies that are still relatively low on the maturity ladder. We also increasingly see manufacturers securing valuable process knowledge using digital twins, machine learning and artificial intelligence—a positive outcome of the growth in digital maturity. Thus, by recording important process actions and events by employees, valuable information is retained by manufacturing companies.
It is crucial to ensure the right balance between the “maturity” of the production environment and the duties and responsibilities of employees. A clear and concrete transition plan for digital production maturity helps tremendously in this regard.
Key takeaways
Digital transformation is a must for manufacturing companies. On the one hand, to respond to rapidly changing market dynamics to maintain a competitive position and, on the other hand, to increase workforce productivity to compensate for the tightness in the labor market, partly due to an aging population.
Digital transformation is not just about technology and data. A clear and concrete transition plan for digital manufacturing maturity includes all four POTI aspects and guarantees the necessary focus on the organization and employees. A phased approach consistent with the organization’s vision and strategy will provide solutions in the area of knowledge retention and development.
Fokke is part of CGI’s manufacturing Center of Excellence in the Netherlands and supports manufacturing clients in advancing their process, organization, technology and data maturity to gain sustainable business value from their digitization strategies.
CGI’s innovative strategies and solutions enable manufacturers to transform from product-centric to customer-centric businesses by helping them embark on their Industry 4. 0 journey and supporting their transformation end to end.