The New ‘Data Driven’ Processes & Operating Model for Industry 4.0

By July 6, 2022No Comments

chris liverani dBI My696Rk unsplashIn the current state of most industries, the implementation of data-driven processes is sporadic and varies widely from one organization to the next. One department may use AI tech to help reduce labor costs while another might utilize predictive data analyses to improve B2C marketing. However, as an organization, there is almost never a fully-functioning operating model that takes advantage of all that Industry 4.0 can do. Thousands of companies are leaving time and money on the table by failing to craft a data-driven model that can be standardized across every department within the entire organization.


Implementing the Technology of Tomorrow Through a Data-Driven Organization

adi goldstein EUsVwEOsblE unsplashA data-driven organization needs to focus on the business outcomes and the customer journey as part of an end-to-end business process. This means that advanced data solutions have to be completely intertwined with the day-to-day operations of the business. It is important to note that this does not mean completely replacing human qualities or abilities with AI. Instead, it allows data processes to free up more time for employees to focus on tasks that they do best, often those that require creativity, communication, and person-to-person collaboration. 

Naturally, many companies cannot handle this transition on their own. Creating a data road map that can evolve with changing technologies requires expert knowledge in both industry specific advancements, as well as the processes involved with data acquisition, storage, and analysis. Fortunately, Dassian solutions look to play an important role in helping deliver these processes as part of the Dassian Suite through improved integration and increased standardization in a seamless Digital Thread (the Dassian Digital Highway). This Digital Thread can support and improve the efficiency of the customer journey from pre-acquisition all the way to contract close-out.  

Replacing Legacy Systems With Real-Time, Data-Driven Results 

clint patterson yGPxCYPS8H4 unsplashThe emergence of the latest SAP S4 HANA Platform has provided some great technological advances for both organizations and end-users. One of the key benefits of the latest S4 Platform is its power and ability to process large amounts of data at lightning speed. These new capabilities now enable data to be processed, queried, and analyzed in real-time. On many of the legacy systems that are still widely used, organizations can only process at a limited speed. In many cases, this leads to run times of anywhere between 4 and 12 hours, as opposed to the seconds it takes with  the latest platforms. 

However, it is not always easy for organizations that are reticent to move to a fully data-driven model to visualize or even quantify the degree of change Big Data processing can usher in. Many companies are starting to come to the light, unpacking the cultural challenges associated with a major digital business transformation. And while this can take time, it allows organizations to finally view data as a product in itself, rather than a tool to simply be organized or analyzed for greater efficiency (though it can and should function as both).

With the innovation of customized SAP and ERP solutions, organizations can finally adapt data to work in conjunction with their entire operational model. This, combined with the inherent benefits of data-driven processes, will bring about a revolution in the efficiency and capability of organizations adopting Industry 4.0 standards. With time, this will help create better value for companies and end-users, in addition to even greater business innovation going forward.

Dassian has the expertise to manage advanced, data-driven systems and help organizations make the operational transition to Industry 4.0. Contact us today.