Good data is the basis of good decisions in companies. Good data is also necessary to enjoy the benefits of business intelligence and machine learning. It is then surprising how much corporates spend on shiny technology versus producing good data. High-quality data can be an asset to companies that know how to use them.
In a world where we have too much data, building an effective dashboard involves many design decisions. This article gives a step-by-step guide to creating effective dashboards. 1. Start with the End in Mind To make sure the dashboard will be effective, you need to place your target first. But what is the goal? How can you define it?
Few ERP users will tell you that they are happy to use it. Even fewer will tell you that they enjoy how agile their ERP system makes them in their day-to-day work.
Process Mining is a family of data science technics and process management to support operational processes based on event logs. This article reviews the main advantages of using process mining to facilitate an operational efficiency project. process mining will typically be used as the first step of an operational efficiency project.
Process Mining merges process modeling and data mining to explain how systems, processes, users, context, and data operate together. It is a specialized branch of data science that delivers more and more insights to corporates.
The strength of technology underpins a digital strategy. But what matters most are the people and teams piloting these innovations. Only once they are fully engaged will it be possible to build a solution that satisfies the end-user and involve company stakeholders more effectively.
One step at a time, we can start your AI journey today, by building the foundation of your future performance.
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