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Business System in the Post Pandemic and New Normal World

January 30, 2021 by systems

Workflow and Automation

You have been familiar with CRM (Customer Resource Management) and ERP (Enterprise Resource Management) systems which help streamline your business workflow, understand your customer and business via data collected in the business environment. Behind most of business systems like CRM and ERP is database (DB) technology (or much precising to say it is a relational database) and DB has been used for many years. However, it is also a pain to a decision maker who would want to dig out worthy business intelligence and information from DB.

The good news to business leaders is because of the maturity of AI and machine learning technologies, you have some cost effective ways or tools to make data analytics, either riding on your traditional database architecture, or simply jumping to new technologies that you can use to understand the business better. Most AI, machine learning, Big Data technologies are open source. All you have to do is to spend time and resources with professionals to work out your plan.

Industry 4.0

As a manufacturer you are accessible to many new technologies to improve factory efficiency and production quality, to maximize production quantities and reduce the costs of production. IoT (Internet of Things) and RPA (Robotic Process Automation) are hot topics to many plant managers. With real-time data collected via various types of sensors and robots during manufacturing processes, AI, machine learning and Big Data analytics tools can be used to output valuable information and reports which have never been achieved before via human beings or ERP systems. Business leaders are much easier to visualize and understand huge amounts of data and information of manufacturing processes for better decision making. It is also a time to empower traceability and controls of goods in Warehouse, Transport and Inventory management.

If you would like to know more how to improve your business, please contact us for further discussion.

Filed Under: Machine Learning

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