The document discusses interactive data visualization as a crucial tool for business intelligence, enabling users to manipulate visual representations of data for better understanding and real-time control of business processes. It provides tips for effective visualization, such as audience specificity, simplicity, and proper color usage, emphasizing the importance of clear and interpretable data presentations. Additionally, it highlights the benefits of data visualization in recognizing trends, correlations, and enhancing decision-making within organizations.

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Interactive Data Visualization – A
Must For Understanding BI!

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Agenda
1
2
3
What is Interactive Data Visualization?
Tips to Get the most out of your Interactive Data
Visualization
Why Data Visualization is a must for Business Intelligence
4 Explore SplashBI’s innovative charts & dashboards

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What is
Interactive
Data
Visualization?
Interactive data visualization facilitates data exploration via manipulating chart
images. The color, brightness, shape, and size of visual objects represent the
features of the dataset being analyzed. These products provide a collection of
visualization alternatives beyond pie, bar, and line charts. These tools allow
users to interpret the data by interacting with a visual illustration of it.
Interactive data visualization makes it more comfortable for the readers to
comprehend information when displayed visually. It enables you to control
business processes in real-time, which can be helpful if you face problems that
need to be fixed ASAP. Finally, users can select a specific data set or metric
and examine it closely to understand particular elements within the report
better.

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Interactive Data Visualization

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Tips to Get the
most out of your
Interactive Data
Visualization
1. Being Audience-Specific
2. Picking the Correct Data Visualization
3. Keeping Visualization Simple
4. Effective Color Utilization
5. Interpretable Data Visualizations
6. Data should be Suitable for the Story

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Tips to Get the most out of your
Interactive Data Visualization
While designing data visualizations, it is
crucial to know the necessity of the chart
and the audience. These two things alone
can take your visualization from nothing to
insights. This assures that you build a
visualization with a strategic direction that
answers a precise question and one that
the audience can quickly grasp.
There is a variety of visualization graphs
and charts out there. But picking the
right one is essential to highlight the
critical trend in the data efficiently. Also,
picking the correct chart for your
visualization will ensure the information
is easy to understand and the viewers
are drawn to your work.
2.) Picking the Correct Data
Visualization
1. ) Being Audience-Specific

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Tips to Get the most out of your
Interactive Data Visualization
It is very easy to put up too much data in a
visualization. But tough to get rid of
irrelevant data. A minimalist visualization
devoid of distress and random patterns is
likely to convey the viewer more
efficiently. The visual elements in a graph
that are not relevant in helping the viewer
understand the graph’s information is
called Chartjunk.
Everyone knows the influence of colors
and the measure of impression they can
have on the viewer. It is one of the most
critical data visualization methods that
you can use for your visualization. It can
provide the right amount of zing that
your visualization requires to attract the
viewers. But inappropriate use of colors
can end up deceiving the viewer.
4.) Effective Color Utilization
3. ) Keeping Visualization Simple

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Tips to Get the most out of your
Interactive Data Visualization
Visuals are only valid if they don’t change
the message to the viewer. The
interpretability of the visualization weighs
more than its visual charm. All the above
points make the visualization more
interpretable. In the end, even if a
simplistic line graph can deliver the
message across to the viewer, you don’t
need to put intricate logos or images in
your visualizations!
Do not produce a visualization just for
the sake of it. The last tip is to ensure
that the data you want to apply is
suitable for your proposed application.
Your data needs to tell the content and
not the other way around – don’t try and
force-fit a visual method to a story.
6.) Data should be Suitable for the
Story
5. ) Interpretable Data Visualizations

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Why Data
Visualization is a
must for
Business
Intelligence
Here are some more unique ways that data visualization can profit an
organization
1. Correlations: It becomes easy to recognize the correlations between the
relationship data elements.
2. Trends: Trends are an effective way of showing where you started and where
you could end up if you keep taking the same action.
3. Frequency: Examining the rate, or how regularly, consumers buy and when
they buy gives us a more accurate feel for how potential new customers might
behave and respond to different marketing and customer acquisition tactics.
4. Examining: Data visualization takes the data from diverse markets to give
insights into which audiences can focus.
5. Risk and Reward: Viewing value and risk metrics demands expertise
because, without data visualization, we must interpret complex spreadsheets
and numbers.
6. Reacting to the Market: The capability to get data quickly with data
presented clearly on a functional dashboard enables businesses to act and
respond swiftly and helps to avoid making errors.

10. © 2022 All rights reserved, Splash Business Intelligence Inc.
Explore SplashBI’s Innovative Charts
& Dashboards
With over 100 chart types and interactive dashboards, you
can see what you need when you need to see it. Improve
visibility into your organization and leverage hidden patterns
within your company’s data to make impactful data-driven
decisions.
Our Interactive Data Visualizations Bring You:
•Customizable Parameters
•Interactive Dashboards
•Visual Composer
•Drill Down
Read the complete blog to
learn more about
Interactive Data Visualization

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