docslide.us_ijrde-implementation-of-dashboard-in-mainframes-for-business-analysis

International Journal for Research and Development in Engineering (IJRDE)
www.ijrde.com Vol.1: Issue.2, October-November 2012 pp- 18-27
18
IMPLEMENTATION OF DASHBOARD IN MAINFRAMES FOR
BUSINESS ANALYSIS.
HARIRAGHAVAN S.K*
, POORNIMA G*
, SUGGULA ANUP, CHAKRAVARTHI*
,
KRUPAL MISTRY*
, SNEHA K*
( hariraghavan.sk@tcs.com, poornima.g1@tcs.com, anup.chakravarthi@tcs.com, krupal.mistry@tcs.com,
sneha.kumari1@tcs.com )
*
Tata Consultancy Services, India
ABSTRACT
Now-a-days dashboards are more
pronounced in business world since it
facilitates deep investigation on the sales
scenario. But has anyone given a thought of
bringing in this excellence into Mainframes?
Is it possible in the user interface of
mainframe? In this paper, we have provided
a business solution to increase the sales
percentage of a company by implementing
the dashboard strategy in mainframes. The
technicalities present behind the
performance of the officers are taken into
consideration and the same are used to
depict a dynamic graph thereby making it
visually strong. The traversal between
graphs is achieved through drill up and
drill-down approach. This approach
elevates the level of user interface in
Mainframes.
Keywords: Dashboard, Mainframe,
Dynamic graph, Drill up and drill-down
approach
I. INTRODUCTION:
Mainframes are predecessors to Super
computers which are majorly used to handle
bulk data. Though the dynamism involved in
them are low, this technology proves to be
the best because of the high security it
provides. By incorporating certain dynamic
features, the online interface of Mainframes
will be exceedingly interactive.
As of now, to make analysis with different
data sources from a specific page, one has to

19
traverse back from the present page and
navigate from there. As a result, continuity
in analysis is lost and it becomes difficult to
interpret. This issue can be resolved if the
user has an option to view multiple screens
simultaneously. With the help of Dash
Board, user can interpret different data from
the same page.
In the recent days, business demands and
features undergo a dynamic change as a
result of which, cut-throat competition exists
in all industries. To excel in such a heavy
competition, a sound knowledge on business
practices across geographies, apt use of
technology, choosing dexterous analytic tool
and expertise in interpreting data is a need of
the hour.
Dash Board is an analytic tool that presents
volumes of data in a readable form with full
transparency. It is an application to depict
different scenarios mostly of business, in the
form of graphs with drill down and drill up
approach. Major advantages of the Dash
Board in business are:
• Interactivity.
• The ability to combine multiple data
sources.
• Visual analysis.
• Supports organized business with
meaningful and useful data.
In our application, we have
developed a dashboard which contains two
graphs each depicting the performance of
sales officers in detail. The first graph
enables the sales manager of a particular
region to view the performance of all the
sales officers in his region. The second
graph represents the individual performance
of a particular sales officer. The traversal
between the graphs is achieved with drill-
up,drill-down approach. Our approach of
using the dashboard will enhance the
analysis of sales and thereby promoting
business.
II. ALGORITHM:
Our research provides insight on developing
a dynamic graph for the sales of a company
producing three products (AC Motor, DC
Series Motor, DC Shunt Motor). Once the
manager logs in, there is an option for him
to view the sales officers' performance in the
form of a Dash board. The bar graphs give
the monthly analysis of their performance
based on which they are fixed with the

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targets.
The algorithm behind the first graph of
the dash board is as follows,
•Create maps for X-Y plot and the bars
Fetch values for actual sales percentage of
each officer in the respective region from
the database.
•This actual sold percentage decides the
height of the bar and it changes dynamically
with the performance of each officer
• Various colors are provided to
differentiate between the sales officers so
that readability is enhanced.
The algorithm behind the second graph of
the dash board is as follows,
• Create maps for X-Y plot and the bars
fetch values for actual sales of each product
by the respective officer from the database.
• The actual sales the respective product
changes dynamically and it decides the
height of the bar.
• The target products he is supposed to sell
is displayed in graph with the cursor (-)
Green and red colors are dynamically moved
to the bars. Green color represents that a
particular sales officer has reached the target
of that product and red color represents that
he has not.
• Press F3 to toggle between the two graphs.
This is how drill up and drill down approach
is achieved in our study.
III. Figures and Tables :
Fig 1.1 is the first screen of the dash
board giving a detailed description of what
dash board is. The user can enter a particular
month to view the performance of all the
sales officers in his region for that month.
The legends are presented on the right side
of the map for easy understanding.

21
Fig 1.2 represents how the height of each
bar is calculated. The variable WS-P5
defines the height of the bar..
As the space is a constraint, the values are to
be limited to 10. For this reason, scaling the
variables is done and they are rounded to the
next higher digit. With these values,
respective coloring is done to the bars and a
sample code for the coloring is given in the
Fig 1.3.
When the month is given, the respective
analysis of all officers in that region is
displayed as shown below in Fig 1.4.
As this is a sales application, display of sold
products does not make much sense if they
are not related to the targets assigned to the
corresponding sales officers. For that reason,
sales manager has also an option to view the
targets of the sales officer making the graph
a multi dimensional one.
To analyze the individual performance of
each officer, click on the bottom of each bar
which corresponds to the respective officer.
Sample code for traversing from the first
graph to the second map by cursor positions
is given here in Fig 1.5.
Fig 1.6 shows a sample code which gives an
idea of how cursor is displayed in the graph.
Depending upon the variable taken from the
data base, that position is marked with the
cursor representing the target of the sales
officer in his region.
The graph thus obtained is displayed in the
next page gives the overall performance of
the sales officers thus it provides facility to
the sales manager to fix the target for the
next month there by increasing the sales of
the company. This is explained in Fig 1.7.

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Fig 1.1: Description of Dashboard

23
Fig 1.2: Calculation of the height of the bar
Fig 1.3: Dynamic coloring of the bars

24
Fig 1.4: Relative performance of the officers in a certain region
.

25
Fig 1.5 : Traversing from first graph to the next graph (sample code )
Fig 1.6 : Calculation of the position of cursor

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Fig 1.7: Individual performance of the sales officer
IV. CONCLUSION:
The application of this study is to help the
user perceive the nook and corner of his
transaction so that optimum usage of
resources can be done. In addition to this,
efficacious strategies can be implemented on
products which had resulted in loss to
enhance turn-over of the company. Hence a
better understanding of the company’s sales
and its revenue can be figured out.
REFERENCES :
[1] Alexis Leon, IBM Mainframe
Handbook.
[2] Murarch’s CICS for COBOL

28
Programmer.
[3] Designing and programming CICS
application.
[4] Murarch’s CICS desk reference.
[5] Introduction to the new mainframe:
Z/OS Basics (An IBM red books
publication).
[6] David Lee , CICS Vs Online system
design and implementation techniques.
[7] Rownaque Nazneen, Shivani Jain,
Shashanko Aditya and Ravi Prakash
Sikariwal, Effective GUI implementation in
Mainframes – Windows based, International
Journal for Research and Development in
Engineering(IJRDE), 1(1), 2012, 4-11.
[8] Continuous guidance by our Technical
lead Mr. Robin Tommy, Tata Consultancy
Services.

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