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Data visualization in Business intelligence


Business intelligence
It should be used to empower a specific audience and address their needs:

The development and assembly of pleasant visualizations into dashboards is not just an exercise in supplying the masses with knowledge. This is a scenario where not all suits one size. You want to do more than just track performance, control behavior, assess effectiveness, and share results with anyone you meet. You will have to consider the following when creating dashboards:

Who is the visualization designed for?

Identify the highest priority individual when creating a visualization or dashboard. Who's going to look at this data? Which challenges are facing them and what roadblocks are stopping them from resolving these obstacles? Resist the temptation of creating a dashboard that meets the needs of each individual stakeholder who might look at it one day.

What decision do I want the user to make and under what circumstance?

Determine your choice(s) to drive. Reflecting on the frequency of the decision is helpful: is the decision strategic, meaning that it may only need to be answered once- such as whether or not to buy property - or is the decision operational - such as accepting a claim or not - and need to be answered multiple times a day? Or is the decision more pragmatic, asking for daily weekly or monthly analysis at a meeting? The visualization of data should be structured to fit with the decision-making pace. For example, set a suitable scale where a series of data points are graphed in time order for time series data. Operational choices are also ideal for simple binary visualizations. For example, text indicating that the argument be "supported" or "Deny," while tactical decisions may explain a more complicated and probably interactive interface.

What actions do I want people to take with this insight?

Generally speaking, it is to empower them to act, backed by evidence. With many data visualizations, it is important to identify a threshold for when action needs to be taken, such as when sales performance for that specific period is beyond a statistically significant level. This can be achieved by means of visual indicators such as target thresholds or functional indicators such as phone push notifications or emails. This strategy ensures that your diagram includes material that is actionable and meaningful.

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