Process digitisation metrics are measurements used to track how effectively manual or paper-based business processes are being converted into digital formats. These metrics help organisations understand the progress, efficiency, and outcomes of their digitisation efforts. By monitoring these numbers, companies can identify bottlenecks, improve workflows, and ensure digital tools are delivering the expected benefits.
Category: Automation Technologies
AI for Optimization
AI for optimisation refers to the use of artificial intelligence techniques to find the best possible solutions to complex problems. This often involves improving processes, saving resources, or increasing efficiency in a system. By analysing data and learning from patterns, AI can help make decisions that lead to better outcomes than traditional methods.
Threat Detection Automation
Threat detection automation refers to the use of software and tools to automatically identify potential security risks or attacks within computer systems or networks. Instead of relying only on people to spot threats, automated systems can quickly analyse data, recognise suspicious patterns and alert security teams. This helps organisations respond faster and more accurately to…
Data Pipeline Automation
Data pipeline automation refers to the process of setting up systems that automatically collect, process, and move data from one place to another without manual intervention. These automated pipelines ensure data flows smoothly between sources, such as databases or cloud storage, and destinations like analytics tools or dashboards. By automating data movement and transformation, organisations…
Process Automation Analytics
Process automation analytics involves collecting and analysing data from automated business processes to measure performance, identify bottlenecks, and improve efficiency. By tracking how automated tasks are completed, organisations can spot where things slow down or go wrong. This insight helps businesses make better decisions about how to optimise their processes and get more value from…
Data Workflow Automation
Data workflow automation is the process of using software to handle repetitive tasks involved in collecting, processing, and moving data. It reduces the need for manual work by automatically managing steps like data entry, transformation, and delivery. This helps organisations save time, reduce errors, and ensure data is handled consistently.
Data Compliance Automation
Data compliance automation refers to the use of software tools and technology to help organisations automatically follow laws and policies about how data is stored, used, and protected. Instead of relying on people to manually check that rules are being followed, automated systems monitor, report, and sometimes fix issues in real time. This helps companies…
Model Deployment Automation
Model deployment automation is the process of automatically transferring machine learning models from development to a live environment where they can be used by others. It involves using tools and scripts to handle steps like packaging the model, testing it, and setting it up on servers without manual work. This makes it easier, faster, and…
Process Automation Metrics
Process automation metrics are measurements used to track and evaluate the effectiveness of automated business processes. These metrics help organisations understand how well their automation is working, where improvements can be made, and if the intended goals are being achieved. Common metrics include time saved, error reduction, cost savings, and process completion rates.
Cloud Automation Strategies
Cloud automation strategies are methods and plans used to automatically manage and control cloud computing resources. These strategies help organisations save time and reduce errors by using software tools to handle repetitive tasks, such as setting up servers, managing storage, or deploying applications. By automating these processes, businesses can respond more quickly to changing needs…