Workflow

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. 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. 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. 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. 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.

Workflow describes the steps in a business work process, through which a piece of work passes from initiation to completion.

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.

Understanding Workflow

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.

Related terms:

Business Intelligence – BI

Business intelligence (BI) refers to the procedural and technical infrastructure that collects, stores, and analyzes data produced by a company. read more

Data Analytics

Data analytics is the science of analyzing raw data in order to make conclusions about that information.  read more

Information Silo

An information silo is a management system that uses vertical communication and is unable to communicate with other information management systems freely. read more

Machine Learning

Machine learning, a field of artificial intelligence (AI), is the idea that a computer program can adapt to new data independently of human action. read more

Manufacturing

Manufacturing is the processing of raw materials into finished goods using tools and processes. read more

Mergers and Acquisitions (M&A)

Mergers and acquisitions (M&A) refers to the consolidation of companies or assets through various types of financial transactions. read more

Introduction to Natural Language Processing (NLP)

Natural Language Processing (NLP) is a type of artificial intelligence that allows computers to break down and process human language. read more

PDCA Cycle

The PDCA Cycle, which stands for Plan-Do-Check-Act, is a problem-solving iterative technique that uses four steps to improve business processes.  read more

Quality Control & Example

Quality control is a process by which a business ensures that product quality is maintained or improved. Discover what quality control is and how it works. read more

Six Sigma

A quality-control program developed in 1986 to improve efficiency. Since then, it has evolved into a more general business-management philosophy. read more