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As you'd expect from the winners of the Specialized Partner of the Year: Business Analytics at the Oracle UKI Specialized Partner Awards 2014, Beyond work with leading edge BI Applications primarily within the UK Public Sector. We intend to share some of our ideas and discoveries via our blog and hopefully enrich the wider discussion surrounding Oracle Business Intelligence and driving improved insight for customers

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Subscribe to this list via RSS Blog posts tagged in data visualisation

Data Flows in v4 of Oracle Data Visualization (in the new OAC as well as Desktop) is much improved, so let's look at creating a flow to :

  • Join together two datasets
  • Filter the columns
  • Create some bins
  • Add a new calculated column
  • Save the results as a singe data source that we can then analyze.

Our flow will eventually look like this .....

b2ap3_thumbnail_img1.png

We will start with one data set I have created, that being a spreadsheet of ficticious sales people and their travelling and renumeration.

b2ap3_thumbnail_img2.png

The second data set is a sheet of the sales people with the cars that they drive

b2ap3_thumbnail_img3.png

So let's get the basics out of the way and load them both up as data sets ....

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Oracle Data Visualization Desktop has a lot of useful features that you might not know about on first inspection, so in this blog I will run through what Data Actions are, and the clever ways they can be used in your own projects.

A data action enables you to link a visualization with an URL, move to another page in your project or to another project all together. Data Actions can also be used on any visualization, or restricted to specific visualizations. Filters can also be passed through a Data Action from one canvas to another.

URL Data Actions

Create a visualization, select the Canvas Settings icon in the top right and select Data Actions.

 b2ap3_thumbnail_Data-Actions-1.png

Click the + icon in the Data actions menu, check type to be URL and enter the URL you want to link your visualization to.

b2ap3_thumbnail_Data-Actions-2.png

Now if you right click onto your visualization, you’ll see your data action on the menu. Click this and you’ll be brought to your desired URL.

b2ap3_thumbnail_Data-Actions-3.png

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Oracle Data Visualizer has been out for a couple of years now and is already on version 4.  I'm a big fan and have been digging deep into the latest release which has brought in a substantial amount of changes.  They are all available here, but I think that the most exciting inclusions are around the Explain capability and new algorithms that have been included in the product focused on Sentiment Analysis and Machine Learning, as well as the opportunity to load up your own custom scripts. 

As an example, let us perform some Sentiment Analysis.  I have created some sample data by means of some short reviews of three ficticious restaurants. 

b2ap3_thumbnail_dv1.png

Two look pretty good to me and one somewhat less so.  Let's push this through the sentiment analyzer and see what results we get.  Firstly I  navigate to the new super-dynamic Home Page in Data Visualizer v4 and selet the Data tab on the left hand side

b2ap3_thumbnail_dv10.png

As per previous versions, we can upload the data - it can of course be sourced from multiple types of sources, but for this example we're just uploading my small review spreadsheet.

b2ap3_thumbnail_dv3.png

Now we have the data file, we can goto the Data Flows section and create a new data flow.  Here we start the flow with the source restaurant review data file.

b2ap3_thumbnail_dv4.png

Note that there are a substantial number of Machine Learning models now available to use in the flow and we will be covering examples of these in further posts.

b2ap3_thumbnail_dv5.png

So, let us add a Sentiment Analysis as the next part of the flow.  We will tell Data Visualizer to use the Review column as the source of the analysis and to write out the sentiment to a new column called Emotion.

b2ap3_thumbnail_dv6.png

Let us now add the final storage step to hold the results of the output of the flow.  If you look at the table below you can also see that the Sentiment Analysis has done it's job already actually and created what I think look to be pretty accurate results.

b2ap3_thumbnail_dv7.png

We will now save and run the data flow - which will be instant - and then we can look at the results by creaing a simple Project and a visulaisation with a bit of colour.

b2ap3_thumbnail_dv8.png

Personally I think we can now really see the investment in the product coming through and not only is getting so much more powerful, it stilll importantly remains intunitive to use and is a great tool to augment "traditional" BI. 

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Data Visualization 12.2.3 ( aka v3 ) is now downloadable from here

 

b2ap3_thumbnail_Blog1.png

What a great upgrade it is, absolutely packed with new enhancements to increase the functionality and make data discovery even quicker. 

The trendlines (as shown above) now allow for additional functionality such as a %age confidence. 

There's new data sources too - we can even connect to BI Applications subject areas as well as analysis and folders.

b2ap3_thumbnail_Blog2.png

There's even enhancements in the dataflow so we can perform more manipulation of the data as we load it

b2ap3_thumbnail_Blog3.png

I'd do a demo of all the features, but Oracle have already done that in a nice little video suite which you can find here - which shows an overview and then some specifics - all of which are worth watching.

If you've any questions, please don't hesitate to contact us.

 

 

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