obiee answers vs data visualization: a cage match
TRANSCRIPT
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Text Here
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Oracle Data Visualization vs. Answers: The Cage Match
5
MICHELLE KOLBEmedium.com/@datacheesehead @mekolbe linkedin.com/in/michellekolbe
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Visualizing data isn’t
only about the final output…
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…but also what you see along the journey
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The New Question For OBIEE Owners
8
OBIEE“Answers”
OracleData
Visualization(Visual Analyzer)
Why do I need both?What do I use each for?Who is the target user?
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Time for a cage match
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RULES! (OK, really just notes)
• Intent: to show both execute multiple analysis scenarios•Caveat: this is a 30 minute session (check out the full session at Collaborate and Kscope)•Result: only one scenario will be shown today, and it admittedly favors Oracle Data Visualization
•Scoring: 7 point will be awarded to the first tool to answer the objective question•There are no timeouts and no challenges
10
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Objective 1 Goal
•Why did Profits decrease last quarter?
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Demo
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For those keeping score
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The Takeaways
14
OBIEE Answers Oracle Data Visualization
In A Nutshell “Reports and Dashboards” “Ad hoc discovery”
Characteristics More fine tune control Less fiddle and fuss
Typical Use Case Standard, reusable content What do I need today?
Target User Power developer for casual users True data analyst
Data Focus Curated content Curated content + data mashups
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Text Here
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Demo Slides: Scenario 1
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Multi-select ‘Month’ and ‘Profit Value’ then right-click and select “Create
Best Viz”
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2. Change the visualization type using
this dropdown
1. Profits have dropped in recent months and we need to uncover why
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Switch to a “Stacked Bar” visualization
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Let’s see how this breaks down by quarter - drag
‘Quarter #’ to the “Color” drop zone
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The color formatting allows us to easily see a 4th quarter drop this year
vs. a rise last year
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Drag ‘Region’ to the “Trellis Columns” to see how this breaks out by
region
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And drag ‘Brand’ to the “Trellis Rows” to see a
further breakout by region and brand
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1. The largest drop-off has been in EMEA for the
BizTech brand.
2. Click the “X” to remove ‘Quarter #’ from the color
zone
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Right-click on ‘BizTech’ to drill to a specific level in
the hierarchy
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Let’s skip past LOB to see the Product Types
within BizTech
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2. We can see that the largest drop-off was in the
Audio Product Type1. Notice how a filter was automatically applied for
‘BizTech’
3. Right-click on ‘Audio’ to drill across into another
dimension
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On the “Data Elements” tab, search on ‘Channel’
and select the attribute to drill
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3. Let’s change back to a line chart
1. Notice how a filter was automatically applied for
‘Audio’
2. The problem is definitely in the Store
channel
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Is it a revenue or cost problem? Drag ‘Revenue’
to the “Values (Y-Axis)” zone
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Drag ‘Variable Costs’ to the “Values (Y-Axis)” zone
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We can see a large spike in costs in the 4th quarter
in our EMEA stores
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Double-click ‘Month’ and ‘Profit Value’ to add them to the Analysis and click
the “Results” tab
Now let’s build the same scenario in
Answers to compare
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1. Answers automatically creates a table view
based on the columns, but we don’t want that
2. Add a new view to the Compound Layout using the “Best Visualization”
feature
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A graph is added…
…but the table view is still there, so delete it by
clicking the “X”
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We can see the same dip in profits for the recent
quarter
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To change to a bar chart and color the quarters,
we need to edit the graph view
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We can use the dropdown to change to a
bar chart…
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…and we can drag ‘Quarter #’ to the “Vary Color By” drop zone
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Notice how Answers tries to make room for every
possible quarter value by narrowing the bars on the
chart
We can still draw the same conclusion as
before about the trend this year vs. last year
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At this point, we can’t create a trellised view
within the standard graph view…
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…so we have to click “Done” to exit back to the
compound layout
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Add a simple trellis to the compound layout
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We no longer want the graph view, so delete it by
clicking the “X”
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The trellis view isn’t configured the way we
want, so we need to edit it by clicking the pencil
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First we need to drag ‘Month’ to the “Group
By” zone in the Visualization
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Now we need to drag the ‘Brand’ column into the
“Rows” zone…
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And the ‘Region’ column into the “Columns” zone
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The view is closer to what we want, but it’s a little small, so we click the
“Trellis Properties” button
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We can change the “Graph Size” from
‘Medium’ to ‘Large…
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…and click “OK”
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Now that we’re getting there, let’s remove the
color formatting by color by dragging ‘Quarter #’ to
the “Excluded” zone
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Like before, we can see that EMEA has a steep
decline in the 4th quarter in BizTech
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Right-click to drill into ‘BizTech’…
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…but since there is no ability to skip a level, it
drills to LOB first, which requires us to right-click
to drill again
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Now we display Product Type, but we don’t need Brand nor LOB, so we
drag ‘Brand’ to the “Excluded” zone
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Then we do the same thing for the
‘LOB’ column
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We have our Product Type view, but now we can’t see all
of the types, so click the “Trellis Properties” button
again
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Let’s change ‘Large’ back to ‘Medium’ to shrink the
graphs…
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…and increase the total height of the entire trellis chart to 650 pixels, then
click “OK”
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Now we can see the steep decline in Audio profits in EMEA for the
4th quarter
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Now we want to drill across to our Channels, but we can’t do
that in Answers, so first we have to right-click on ‘Audio’ and drill to apply it as a filter
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We can search the subject area for the
‘Channel’ column and then drag it to the “Rows”
zone
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We don’t want Product Type nor Product
anymore, so we drag them both to the “Excluded” zone
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Finally after excluding a lot of columns, we can
see that EMEA stores are declining the most
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Let’s change the charts back to line charts by selecting
‘Line’ in the “View as” dropdown
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Now we can drag both the ‘Revenue’ column…
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…and the ‘Variable Costs’ column to the “Color By” zone to add them both to
the visualization
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Now we can draw the same conclusion that revenue is flat but variable costs have increased, driving profits
down
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If we wanted to share this, we could
click “Done”…
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…and we now have a nice trellis chart on our
compound layout……but we have a
few extra views we don’t need…
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…and a lot of extra columns in our criteria
that we should clean up for performance reasons