Practical perspectives on digital transformation, automation, analytics, information management and technology adoption.
Selecting technology before understanding the workflow can result in systems that solve the wrong problem. Organizations should first understand where work is happening, where information is lost and where users experience unnecessary friction.
Once these challenges are understood, technology decisions become more focused and easier to evaluate.
Not every process needs automation. Repetitive, rules-based activities are often good candidates because automation can improve consistency while freeing people for higher-value work.
A dashboard should help people answer meaningful questions about performance. Before designing visualizations, organizations should decide what information matters and what decisions the information will support.
AI can support information processing, knowledge access and other business activities, but successful adoption requires clear objectives, appropriate data and responsible implementation.
Digital transformation is ultimately a human activity. Systems must be understandable, workflows must be practical and users must be able to integrate new tools into their daily work.