Transformation Management
Tools for Innovation
As businesses continue to use technology to become more agile and dynamic, embracing cloud ERP is the foundation onto which post-pandemic enterprises are being built.
Connecting systems and increasing resilience
Transformation Management
As businesses continue to use technology to become more agile and dynamic, embracing cloud ERP is the foundation onto which post-pandemic enterprises are being built.
And as new tools – most notably AI and machine learning became available – ERP (Enterprise Resource Planning) could be expanded to offer analytical insights enterprises could use for innovation.
Looking at the quote from Michael Larner, Principal Analyst at ABI Research, I see business leaders actively re-organising their supply chains. How they manage these shifts requires a new approach to ERP:
To mitigate supply chain risks, manufacturers should not only not source components from a single supplier but also, as COVID-19 has highlighted, shouldn’t source from suppliers in a single location.Michael Larner Principal analyst ABI Research
ERP is about more than just evolving how your company manages its supply chains. Many of the businesses I speak to lament their ability to connect aspects of their business processes together. I have long advocated for integration and automation as pillars onto which thriving and innovative businesses can be built.
The power of cloud-based ERP is the overview it can give business leaders. So many of the conversations I have with businesses are about their lack of insight and inability to use the information they have to make tangible decisions about their enterprises. Cloud ERP systems have the capability to take large complex datasets and look at the granular needs of specific business processes. This is where insight becomes strategic and actionable innovation.
Also, legacy ERP was difficult to configure and personalise to the precise needs of the business using the service.
Today, the low-code movement shows how companies don't have to bend these systems to their requirement but can easily modify them to deliver real-world benefits to their users. And these users are not just at high-level management but can also be individual workers. This granular approach is a clear trend across post-pandemic business process management.
Cloud ERP services are also opening the possibilities that predictive analytics offers to enterprises. Every business is looking at how they can increase their resilience in the face of any future global event. When ERP is connected to machine learning AI’s this opens a wealth of opportunities to identify system and process weaknesses which can then be addressed.
And cloud ERP is on the move. As businesses shift to permanent remote mass working, an ERP solution that can support every user no matter their needs or location is a core business case for cloud ERP. Businesses will also make ERP their own by focusing on the precise needs of teams and individuals to ensure the ERP they use delivers the services they need when they need them.
Customer Experience
Transformation Management
More Insights
We use cookies on our website. Some of them are essential, while others help us to improve this website and your experience. With your consent, we use cookies to analyse the usage of our website. We also use cookies for marketing to help us measure the success of our marketing efforts. In the settings you will find detailed information about the individual cookies, and you can refuse the use of cookies. You can change or revoke your selection at any time on any KPS.com page in the footer under Privacy Settings.
Essential cookies enable basic functions and are necessary for the proper functioning of the website.
Functional cookies are used by third parties or publishers to display personalised advertisements. They do this by tracking visitors across websites.
Google Analytics
Cookie Name: _ga
Storage duration: 2 years
Description: Used to differentiate between users.
Cookie Name: _gid
Storage duration: 24 hours
Description: Used to differentiate between users.
Cookie Name: _gat
Storage duration: 1 minute
Description: Used to throttle the demand rate. When Google Analytics is delivered via Google Tag Manager, this cookie is named _dc_gtm_ <Property ID>.
Cookie Name: hide-cookieinfo
Storage period: 30 days
Description: Cookie that is set to query the cookies.
Content from video platforms and social media platforms is blocked by default. If cookies from external media are accepted, access to this content no longer requires manual consent.
LinkedIn Tag
Cookie Name: li_oatml
Storage duration: 30 days
Description: This cookie is used to identify LinkedIn members outside of LinkedIn for promotional and analytical purposes outside of the designated countries and, for a limited time, for promotional purposes in the designated countries.
Cookie Name: lidc
Storage duration: 24 hours
Description: This cookie optimises the selection of the data centre.
Cookie Name: lissc
Storage duration: 365 days
Description: This cookie ensures that all cookies in this browser use the same SameSite attribute.
Cookie Name: s_sq
Storage duration: Session
Description: Adobe Analytics uses this cookie to store information about the previous link that a user clicked on.
Cookie Name: AMCVS_14215E3D5995C57C0A495C55%40AdobeOrg Storage duration: Session
Description: For the Adobe Experience Cloud, this cookie indicates when a session began.
Cookie Name: lang
Storage duration: Session
Description: This cookie remembers the language setting of a user.
Cookie Name: s_cc
Storage duration: Session
Description: This cookie is used by Adobe Analytics to determine whether cookies are enabled.
Cookie Name: UserMatchHistory
Storage duration: 30 days
Description: This cookie is used to synchronize the IDs of LinkedIn Ads.
Cookie Name: AMCV_14215E3D5995C57C0A495C55%40AdobeOrg
Storage duration: 180 days
Description: This is a unique identifier for the Adobe Experience Cloud.
Cookie Name: bcookie
Storage duration: 730 days
Description: This cookie is a browser identification. It is used to uniquely identify devices accessing LinkedIn in order to detect misuse of the platform.
Cookie Name: _ga
Storage duration: 730 days
Description: This is a cookie for Google Analytics.
Cookie Name: _gid
Storage duration: 24 hours
Description: This is a cookie for Google Analytics.
Lead Forensic
Cookie Name: __lfuuid
Storage duration: 10 Jahre
Description: Allows a website to track visitor behavior on the sites.