Digital systems were first broadly used in the process industries in the 1970s. Since then, there has been an ocean of process data and an explosion of databases. And several attempts to implement them by means of data warehouses, web services, and middleware. Most of these attempts used to have limited success and are tough for maintaining and scaling. In this blog, we will discuss the data integration and knowledge management in the process industry.
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Currently, on the one hand, data integration and knowledge management in the process industry are becoming more complex. And, on the other hand, technology is progressing tremendously. It is more complex because of the intensification in the quantity and diversity of data. In addition to having time series process data, transactional data (e.g. financial data, maintenance records, production plans), engineering data, and unstructured data in Word, Excel, and PowerPoint we now also have audio, video, email, social media etc. Furthermore, we are also having data from the plant, data from the rest of the organization, data from supply chain partners, and data from outside the organization. Therefore, in order for optimizing the enterprise (the plant, the supply chain and all features of the business) it is important to establish and implement all of this data. This is a vast challenge.
Data Integration and Knowledge Management in the Process Industry
Everything happening in your enterprise is built on information, data, and knowledge:
- Internal processes are propelled by employee knowledge of best exercises.
- Products and services are calculated, designed, assembled, and improved on through the knowledge your team holds.
- Offering value to your customers relies on the vast knowledge of their requirements.
Without this knowledge, your business would not be able to operate. But the simple existence of knowledge is not sufficient for allowing it to operate appropriately, increase, and succeed. Data integration and knowledge management in the process industry must have the potential to flow freely and participate seamlessly throughout business processes in order to be useful.
Workflows, decision-making, information processing, and employee motivation interrelate with each other and Knowledge Management processes in multifaceted ways. Learning to incorporate knowledge management into your business will be improving employee onboarding, internal collaboration, and customer support.
Also read: Unlocking the Potential of Datafication for Businesses
Knowledge Management collects, communicates, stores, and applies knowledge to your enterprise’s various processes. Furthermore, CRM and knowledge-base integration will be taking it one step further by implementing customer data from your CRM and support data from your knowledge base to provide employees with the best information they require to do their job.
How Other Organizations are Doing It
If organizations are wanting employees for contributing and using knowledge as part of their normal routines, KM processes, and tools ought to be integrated into existing processes and workflows. Moreover, productivity decreases when people must stop what they are doing to share. Businesses that are positively doing this have used a variety of approaches:
- Data integration and knowledge management has been integrated into business processes and workflows at the organizational level.
- Technology leveraging processes such as CRMs, workflow management software, collaboration platforms, and other high-tech solutions are used.
- Communities of practice are associated with critical business processes and employees can search for relevant content, involve in peer-to-peer problem-solving and construct relationships with experts and other team members.
These strategies are resulting in work environments throughout the enterprise where employees are considering data integration and knowledge management in the process industry as part of their job responsibilities.
Knowledge Management Integrations for Salesforce
Effective data integration and Knowledge Management in the process industry for your business processes depend on managing knowledge as an organizational asset. Positively integrating your KM with software like Salesforce will need much more than simply addressing logistical issues like structure and process. C-level purchase-in is as important as your organization’s culture implementing and adapting to new methods of doing business.
Successful KM integration will rely on a transformation management strategy that’s devised on:
- Clear business need
- Comprehensive, targeted training
- Top-level support and advocacy
- Well-defined knowledge management vision
And all this demands to be guided by an actual communication strategy that moves on employees what KM is, how it functions, and the value it will be adding.
Also, salesforce will be providing all your departments – and all processes – a single shared view of each and every customer. It will be allowing you to provide the personalized experiences modern customers are expecting and demanding. Furthermore, salesforce is the perfect solution for selling or supporting and it functions with your knowledge base to logically recommend the content your team requires when they need it.
Also read: Impact of Using Big Data in Business Organizations
Conclusion
Shared knowledge and the proficiency it is drawn from are the enablers that are moving businesses forward. Data integration and knowledge management in the processes industry is a complex endeavour. However, enterprises that have successfully performed it prove the payoff is enormous.
No matter which products and/or services you are offering, exploring a way to integrate knowledge management into your business processes should be at the centre of your organizational plans.
