Oracle
Data Visualization Desktop(DVD) or Cloud Server(DVCS) is a very intuitive tool, which helps every business user in the
organization to create quick and effective analytics very easily. People at all
level can leverage the benefit of blending and analysing data in just a few
clicks and help the organization to take informed decision using actionable insights.
Oracle DVD is a Tableau like interactive tool which helps to create analysis
on-the-fly using any type data from any platform, be it on premise or Cloud.
Main benefits of Oracle DVDs are below:
· A personal single user desktop tool, or a SAAS cloud service, which can be leveraged by any business user in the Organization.
· Enable the desktop user to work even offline
· Completely private analysis of heterogeneous data
· Business user can have entire control over the dataset/connections
· Direct access to on premise or cloud data sources
· Administration task has been removed completely
· No concept of remote server infrastructure
Oracle DVD/DVCS enables the business user
to perform analysis using traditional methodologies as well as provides
capability to perform Advance Analytics using R and creating Predictive model
using Machine Learning algorithm using Python.
This simple and intuitive tool provides a
very unique way to enable you to perform Advance analytics by just installing
all the required packages. DVML (Data
Visualization Machine Learning library) is the tool to help you install all
the required packages for implementing machine learning algorithm for
predictive analysis in one go.
Install
Advance Analytics(R) utility will help you to
install all the required R packages to perform Advanced Analytics functions
like Regression, Clustering, Trend line etc. However, to run both the utility
in your personal system/server, you need administrative access as well as
access to internet and permission to automatically download all the required
packages.
In the below slides we are going to discuss, how to leverage Advance analytics
and machine learning functions to provide predictive analytics for the
organization.
In order to create a Trend line graph, we
need to enable Advanced Analytics and then pull required column into the
Analysis.
Trend
line Function: This function takes 3 parameters to
visualize the data in a trending format.
Syntax: TRENDLINE(numeric_expr,
([series]) BY ([partitionBy]), model_type, result_type)
Example
: TRENDLINE(revenue, (calendar_year, calendar_quarter, calendar_month) BY
(product), 'LINEAR', 'VALUE')
We need to create various canvases and put
them into one story line by providing corresponding description over the
canvas. While creating Trend line visualization, we need to provide the Confidence level of data. By default,
it will take 95% confidence level, which means the analysis will be performed
over the 95% of data.