Why Visualization
Matters in Analytics World?
The world produces
more than 2.5 exabytes of data every day. Visualization is one key approach to
gaining insight from this mountain of data. It enables you to see the trends
and patterns (along with gaps and outliers) in the data that are not as easily identified
in rows and columns of numbers.
Visualization can
also provide access to huge data sets, such as weather, web traffic, sales and
voting records. Data sets of this size have the potential to be overwhelming
and inaccessible; a good visualization provides a way to explore, understand
and communicate the data, along with actions the data indicate should be taken.
For example, there are visualizations that show past prices for airline tickets
and prices for future travel dates. From this sort of visualization, you can
see whether ticket prices are trending upwards or downwards and you have guidance
when considering tickets for different possible travel dates. A list of ticket
prices wouldn’t be nearly as compelling or useful as showing the price
variations with graphs.
The most successful
visualizations have a few things in common. They have a clear purpose; they
include only relevant, focused content; and they present the content in a
manner that reveals and highlights the interesting relationships in the data.
Extensible
visualization capabilities in IBM Cognos BI
New, extensible
visualization capabilities built into IBM Cognos Business Intelligence
V10.2.1.1 solutions unleash report authors and business users from a static
library of charts. No longer are users locked into only the in-product
visualization options. Now you can easily augment your reports—both general and
active reports—with a growing collection of visualizations to meet your data
and insight requirements.
With the new IBM Cognos Visualization Customizer,
visualizations can be edited, including changing fonts, colors, or even icons
to meet the most specific requirements.
Through the new Visualization
Marketplace on IBM
Analytics Zone, report authors can choose from over 30 visualization
options, ranging from radar charts to heat maps and area charts. New
visualization options will be regularly added to the Marketplace. You’ll always
find just the right visualization just a simple download away.
Step-by-step process
to extend Cognos BI visualization features -
First of all please
make sure you have Cognos BI 10.2.1.1 server installed. If you have 10.2.1 then
download and install 10.2.1.1 fixpack from IBM support site
Now download all
visualizations (vis.sample.all_10_2_1_1 .zip) along with documentations from
AnalyticsZone site using below link. To do so you must be a member. If you are
not then register yourself, its easy :).
The next step is to
import these visualizations into Cognos library before we use them thru report
studio.
1) Unzip vis.sample.all_10_2_1_1
.zip into a folder. You’ll get 30 zip files for 30 visualizations.
2) Open “IBM Cognos
Administration” in browser and go to “Library” tab.
3) In left side panel
you can see “Visualizations” item. On right side, click on “Import
Visualizations” button as shown in below snapshot.
4) It’ll open a
window where you can import all 30 or some visualization files one-by-one.
5) On successful import you can see all imported files.
6) Now open Report Studio with any package. From toolbar you
should drag “Visualization” tool in report area. Here you can see all 30
visualizations and select any one of your choice. Align data items and run the
report. You can also use them in your active reports.
Reference:
1)
Youtube - https://www.youtube.com/watch?v=hjpJMPay9Kg#t=12
2)
Download Visualizations - https://www.analyticszone.com/homepage/web/displayMarketplacePage.action#catalog/viz_assets_allvis
3)
Visualization Community - https://www.analyticszone.com/communities/service/html/communityview?communityUuid=03a2ed30-3407-4d0d-a7f6-340bc1d53f05
4)
White paper - Using visualization to understand
big data https://www.analyticszone.com/blogs/03a2ed30-3407-4d0d-a7f6-340bc1d53f05/entry/whitepaper_using_visualization_to_understand_big_data?lang=en_us
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