Author: Philip Godfrey
Oracle Analytics Cloud is a powerful
tool that enables organizations to make data-driven decisions by providing
advanced analytics capabilities.
Previous blogs in this series include
getting started with Oracle Analytics Cloud, loading data, and creating data
flows, and our focus this week is on Augmented Analytics.
In our previous blog post, we explained Analyze Sentiment Data Preparation step in OAC, and in this latest blog, we venture into Oracle Analytics Cloud Workbooks and explore some of the augmented analytics feature using Auto-Insights.
What is a
workbook in OAC?
If you missed the last blog, a
workbook is a type of object that enables users to create and design a custom
analysis, visualization, or dashboard, to analyze and present data in a
meaningful way.
In-built, you are also able to utilize augmented analytics such as Explain, which we covered in the last blog, and Auto-Insights, which will be our focus today.
What is Auto-Insights?
Auto-Insights is an artificial
intelligence-powered feature that automatically generates insights and
recommendations based on the data in a workbook.
It makes use of Machine Learning
algorithms to analyze data and identify patterns, trends, and correlations, and
then presents the insights in a visual format.
Why should I use
it?
Auto-Insights can help users to
quickly gain a deeper understanding of their data, identify areas for
improvement, and make data-driven decisions.
Using
Auto-Insights
You can automatically enable / disable
Auto-Insights across OAC if you are an administrator – if you have it enabled, while
it’s processing, the bulb icon will be white, but once it’s completed, it will
turn yellow (as below).
This means that several insights have
been identified across the entire dataset, unlike Explain feature, we aren’t
using just one variable, these insights are across the entire dataset.
These insights are generated for us by
Oracle Analytics, and we can add these into our canvas exactly like we could
with the Explain feature.
Each insight also provides
incorporates some commentary, which helps explain what the visualization is
describing – you can hover over the text to see the full description on screen.
Any of these can be added into the canvas, simply select which one(s) you are interested in and click.
As you can see, we have added multiple
visualizations from auto-insights into our canvas automatically, and each field
required is automatically populated.
Auto-Insight
Settings
Another helpful offering is
Auto-Insight Settings, which allows you to toggle fields you are interested in
(or not interested in) and you can exclude certain types of charts, again if
these aren’t of interest.
We can select which columns we would like to include within Auto Insights.
However, we also have the flexibility to determine which type of insights we want to see e.g.,
· trends
· distributions
· seasonality
· etc
Once we are happy with our selections,
we click Apply and Auto-Insights will then calculate new insights, the
same applies if we make any amendments to a dataset.
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