With digital subversion changing our world, the process and business model of chemical companies are facing challenges. How do they adapt and develop? Leading enterprises in the chemical industry are succeeding by becoming intelligent enterprises.
Facing the challenge of modern industry
chemical companies are facing challenges from many fields. These factors include changes in raw material prices and geopolitical climate, unstable demand patterns, large-scale commercialization and customization of products, complex supply chain management, transition to digitalization, competition from new companies, and more regulations and environmental expectations than ever before.
Challenges like this are not always negative. On the contrary, they can bring opportunities. Intelligent chemical companies have begun to change their mode, providing new services, selling business results instead of products, using machine learning to further automate processes, cooperating beyond traditional boundaries and competing as ecosystems, or developing strategic agility as a new core competitiveness.
Master The Challenges
In the past 20 years, with the massive adoption of cloud computing, big data and mobile technology, chemical companies are producing a lot of data. But most of them can’t use the data effectively. With data becoming the new “oil”, most companies are just accumulating more reserves, but there is no clear way to realize this new asset. Our customers have to be smart enterprises to get meaningful insights from their data and allocate resources dynamically.
Intelligent enterprises operate with visibility, focus and agility to change the rules of the game. They do more with less and empower their employees through process automation. They provide a first-class customer experience by actively responding to customer expectations. They invented new business models and new sources of income.
Key Capabilities Of Intelligent Enterprises
The difference between intelligent enterprises lies in three key capabilities. What they do:
Visibility: the ability to collect and connect previous shaft data and identify invisible patterns
Focus: the ability to simulate the impact of potential choices and guide scarce resources to the areas with the greatest impact
Agility: be able to respond to market or business changes more quickly and turn business processes to the right customer results
By adopting the capabilities of intelligent enterprises, chemical companies can change the rules of the game faster, more effectively and with lower risks
Do more with less, empower employees through process automation, so that employees have time to do more meaningful work
Provide first-class customer experience by predicting and actively responding to the needs of end customers
Create new business models and revenue streams by monetizing data-driven capabilities and applying core capabilities in new ways
The Driver Of Technology
If an enterprise wants to become an intelligent enterprise, it must invest in three key technology fields
An intelligent suite that brings intelligence to applications for managing customers, supply chains, networks, employees, and core business processes
A digital platform to manage data from any source (first party or third party) in any format (structured or unstructured), and support the development, integration and expansion of business applications
Through machine learning, advanced analysis, Internet of things and other innovations, intelligent technology that applies intelligence to data and processes