DATA WAREHOUSING – BANKING SECTOR
SYBASE IQ - PNB BANK
Roll No: 28
MBA 1st semister
DATA WAREHOUSING (DW), WHAT IS
1. It is combining data from multiple and usually
varied sources into one comprehensive and easily
2. DW includes queries, analysis and reporting.
Because data warehousing creates one database
in the end, the number of sources can be anything
you want it to be, provided that the system can
handle the volume, of course.
3. The final result, however, is homogeneous data,
which can be more easily manipulated.
WHY DATA WAREHOUSING (DW)?
DW is commonly used by companies to analyze trends over time.
In other words, companies may very well use data warehousing to view day-to-
day operations, but its primary function is facilitating strategic planning resulting
from long-term data overviews.
From such overviews, business models, forecasts, and other reports and
projections can be made.
DW is not the be-all and end-all for storing all of a company's data. Rather, data
warehousing is used to house the necessary data for specific analysis.
WHY “DATA WAREHOUSING (DW)” IS
PREVALENT IN BANKING?
A. Banks worldwide use DW solutions normally for profitability analysis
and to enhance their risk management capability.
B. Customer Relationship Management (CRM) solutions are also being
increasingly deployed by banks to enhance their ability to manage and
grow their customer base in the most desired manner.
Let us learn about Sybase IQ by the following:
1. What is Sybase IQ?
2. Why do organizations need Sybase IQ?
3. What is unique about Sybase IQ?
1. WHAT IS SYBASE IQ?
•Sybase IQ is a highly optimized analytics server, designed specifically to deliver
ultra-high-speed business intelligence and reporting on standard hardware and
•Sybase IQ is architected for analytics—not transactions—with a structure.
•The patented indexing makes it the preeminent choice for data warehousing
•Sybase IQ provides a reduction in disk and CPU requirements (by reducing I/O
bottlenecks) compared to traditional systems that have to be retro-fitted to
support DataWarehousing and Analytics.
2. WHY DO ORGANIZATIONS NEED
Most organizations are
struggling to deal with
data management and
data growth. As data
explodes, so does the
cost of managing that
They apply more
processing power to
deal with very large
of users, with low
Although the “hard
costs” of storage are
Sybase IQ resolves
all these business
3. WHAT IS UNIQUE ABOUT
performance up to
100 times faster than
a traditional systems.
less storage by
data up to 70%, while
data by 150-500%.
and does not require
time and resource
intensive tuning to
Offers near linear
user and data
scalability to support
thousands of users
and terabytes of data.
PNB bank is one of India’s largest nationalised bank.The bank has a network
of 1,308 branches and 3,950 ATMs as well as robust Internet banking.
PNB Bank offers a wide range of banking products and financial services to
corporate and retail customers through a variety of delivery channels and
through its specialized subsidiaries and affiliates in the areas of investment
banking, life and non-life insurance, venture
capital and asset management.
PNB BANK – SYBASE IQ
In India, PNB bank is the pioneer in implementing a data warehousing (DW) solution, which is
powered by Sybase IQ, a highly optimized business intelligence, analytics and data
warehousing solution for delivering dramatically faster results at a low cost.
Previously, the bank was dependent on its DW from “Teradata”.With dramatic growth in its
users, amount of data, and source stations, etc., the increasing cost of scaling and
maintenance and mounting system unavailability posed difficulties for the bank.To resolve
these recurring problems, the bank undertook a migration of the enterprise data warehouse
fromTeradata to Sybase IQ.
Applauding the strength of Sybase IQ, PravirVohra, GroupChiefTechnology Officer, says,
“Our business requirements were addressed well with minimum infrastructure. Sybase IQ is
an excellent product.”
SYBASE IQ – THE PREFERRED
PNB Bank was using “Teradata” for its data warehouse.The closed box architecture ofTeradata
imposed restrictions on scalability. Secondly, querying and loading could not happen
simultaneously. Queries could only be run during business hours because the loading of data
had to take place during off-business hours.The queries did not reflect the most current data.
These issues compelled PNB Bank to look for more efficient and flexible solutions.The solution
would have to address not only current issues, but accommodate future growth expectations
and business requirements.
During this rigorous testing, Sybase IQ delivered faster results on independent hardware and
operating systems with minimum infrastructure.
TRANSFORMATION OF DATA TO
Data from approximately 14 source systems is extracted and loaded on to the
writer node of Sybase IQ, hosted on IBM System p-series hardware.The
enterprise SAN storage is connected to both the reader and write node and
the business users run queries on the reader node of Sybase IQ.The prime
challenge faced by the Sybase team was that ICICI Bank wanted the
migration to be transparent to business users.
More than threeTerabyte of data was required to be moved into Sybase IQ,
typically requiring a large amount of time and storage using traditional
systems. However, Sybase IQ achieved an exceptional speed of two million
records per second, so data loading with Sybase IQ took a mere two days.
The entire migration process for the new system took less than three
The simplicity of the system is exhibited by the fact that DBAs, developers
and business users were running on the new system after only a five day
FUNCTIONALITY OF SYBASE IQ IN PNB
1. The source systems maintain data from various divisions of ICICI Bank like its
Retail Banking (liabilities and assets), call centre, Internet Banking and Demat
units, supporting over 3.5TB of data.
2. Using Sybase IQ’s unique concurrent user scalability, ICICI Bank now supports
over 150 users without any performance degradation.
3. Sybase IQ drastically reduced query time. Queries that used to take over four
hours before, now complete in a quarter of the time.
4. Additionally, system maintenance has been streamlined and can be carried out
by “in-house developers”.
5. With theTeradata warehouse, loading scripts were run, which made the system
difficult to modify and maintain. However, with the new system, load
automation has been achieved through Sybase IQ stored procedures.
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