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 Explain.
What is a
workbook in OAC?
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.
Why I love working with workbooks in
OAC, is the flexibility it provides. Not only can you add in elements such as
filters, aggregations, and calculations to create a customized analysis, but
also utilize augmented analytics such as Explain and Auto-Insights.
Explain
Once we have created a workbook and
loaded in our Disney Review dataset (with Analyze Sentiment column “emotion”
included) we can utilize the Explain feature on a given column. In this
example we will look to explain the “emotion” column we added in the last blog.
These insights are generated for us by Oracle Analytics, utilizing Machine Learning algorithms, and provided on the left-hand side are key attributes or drivers of the field of interest. Out of the box, this will provide us with information on:
- Basic facts – think of these as summary statistics and key insights
- Key Drivers – what in the dataset is the most important features that impacts that given column
- Segments – are there any segments or clusters of data that are of interest
- Anomalies – are there any outliers or unusual data points that have been identified
Any of these can
be added into the workbook canvas, simply select which one(s) you are
interested in and click “add selected”.
As you can see, the plot is added into
our canvas automatically, and each field required is automatically populated.
I often use these as a starting point in an analysis, and you can amend these plots to suit your needs.
Look out
for the next blog in the series which explores Auto-Insights – another
Augmented Analytics offering available in Oracle Analytics Cloud.
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