What is Workflow?
Workflow describes the steps in a business work process, through which a piece of work passes from initiation to completion; and how these steps can be executed and automated according to a set of procedural rules. Organizations use workflow to coordinate tasks, improve organizational efficiency, add responsiveness, and drive profitability. Workflow may be sequential, with each step contingent upon completion of the previous one, or parallel, with multiple steps occurring simultaneously.
- Workflow describes the steps in a business work process, through which a piece of work passes from initiation to completion.
- Six Sigma and Total quality management (TQM) are two popular process improvement philosophies that companies embrace.
- Big data has helped to automate workflows through the development of artificial intelligence and machine learning systems.
- Workflow software and apps help businesses manage projects across different teams, locations, and time zones.
The concept of workflow was important to the study of the rational organization of work and optimizing manufacturing or informational processes – to avoid bottlenecks. After WW2, the quality movement developed several workflow improvement theories, which embraced more qualitative notions of business process re-engineering. These philosophies could be applied to car assembly lines, a loan application by a bank, or the production of a newspaper.
Six Sigma and Total quality management (TQM) are two process improvement philosophies that have been embraced by organizations around the world. TQM is a structured approach to overall organizational management, where internal guidelines and process standards reduce errors. The goal of Six Sigma is to reduce defects through quality control.
Six Sigma emphasizes cycle-time improvement while at the same time reducing manufacturing defects to a level of no more than 3.4 occurrences per million units or events. In other words, the system is a method to work faster with fewer mistakes.
Workflow Technologies and Big Data
Workflow technologies and management systems are being used today in industries as wide-ranging as finance, healthcare, marketing, and higher education. They have been fundamental to the development of artificial intelligence (AI) and machine learning systems that are having a significant impact on corporate workflows in every industry, thanks to their ability to process and extract value from big data.
By gathering and sharing data across an organization, and embedding analytics, enterprise data management systems are used to eliminate information silos and optimize business processes and automate data processing. This has helped to connect previously disconnected sectors and industries.
Finance is being transformed by big data, using it for both trading and compliance workflows. Investors are tapping into the flood of real-time data produced by global digitalization and social media, and experimenting with enhanced data analytics and AI to generate investment ideas – free of cognitive bias — and manage risk.
Workflow in the Digital Era
The need to manage projects across different teams, locations, and time zones has seen a huge rise in the popularity of workflow apps and software. This trend has only accelerated in 2021 as more companies connect with their employees remotely during the coronavirus pandemic. Some of the more popular workflow management software out there includes Easynote, Trello, Monday.com, and Accelo. These platforms make it easy to create tasks and assign them to different people while managing the entire workflow through a dashboard that acts as a central hub. Best of all, many of these platforms provide free access to key features, keeping costs low for startups and small businesses.