Open AccessInteractive Dashboard Design for Manager, Data Analyst and Data Scientist Perspective
Author(s) -
Temitope Olubunmi Awodiji
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5121/csit.2021.111914
Subject(s) - dashboard , blueprint , computer science , business intelligence , key (lock) , performance indicator , data science , variety (cybernetics) , perspective (graphical) , process management , knowledge management , benchmarking , world wide web , engineering , computer security , business , marketing , mechanical engineering , artificial intelligence
With large amounts of unstructured data being produced every day, organizations are trying to extract as much relevant information as possible. This massive quantity of data is collected from a variety of sources, and data analysts and data scientists use it to create a dashboard that provides a complete picture of the organization's performance. Dashboards are business intelligence (BI) reporting tools that collect and show key metrics and key performance indicators (KPIs) on a single screen, enabling users to monitor and analyse business performance at a glance. An objective assessment of the company's overall performance, as well as of each department, is provided. If each department has access to the dashboard, it may serve as a springboard for future discussion and good decision-making. The goal of this article is to explain in detail the implementation of Dashboard and how it works, which will serve as a blueprint for building an effective dashboard with respect to best practices for dashboard design.