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SAS Global Forum Paper 22412014Data Visualization within Management at Duramax P.M. (Peter) Wipers, Duramax Coated Products BV, Roermond, NetherlandsABSTRACT Are you interested in starting to use
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How to fill out data visualization within management

01
Identify the key metrics you need to visualize for management decisions.
02
Choose the appropriate type of data visualization (e.g., bar charts, line graphs, pie charts) based on the nature of your data.
03
Gather and clean the data to ensure accuracy and consistency.
04
Use data visualization tools (e.g., Tableau, Power BI) to create the visualizations.
05
Design the visualizations for clarity, using labels, legends, and color schemes that enhance understanding.
06
Validate the visualizations with stakeholders to ensure they meet the management's needs.
07
Present the visualizations in management meetings, providing context and insights for decision making.

Who needs data visualization within management?

01
Managers who need to make informed decisions based on data.
02
Team leaders who wish to track performance metrics and team progress.
03
Executives looking for high-level insights into organizational performance.
04
Analysts who are tasked with reporting metrics and trends to management.
05
Stakeholders interested in understanding the impacts of various initiatives.
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Data visualization within management refers to the graphical representation of information and data to help managers make informed decisions by easily interpreting complex datasets through charts, graphs, and dashboards.
Typically, management professionals, analysts, and business intelligence teams are required to file data visualizations to report performance metrics and insights to stakeholders.
To fill out data visualization, collect relevant data, choose appropriate visualization tools or software, select suitable chart types, input the data into the tool, and customize visual aspects for clarity and insight.
The purpose of data visualization within management is to simplify complex data, highlight trends and patterns, enhance decision-making, and communicate insights effectively to stakeholders.
Information that must be reported includes key performance indicators (KPIs), metrics related to operational efficiency, sales figures, and other relevant data that guides decision-making.
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