International Journal of Engineering Trends and Technology (IJETT) – Volume 9 Number 3 - Mar 2014
A Business Intelligence Network Design for
Service-Oriented Architectures
C.K.Gomathy#1, Dr.S.Rajalakshmi#2
#1
Authors Research Scholar & CSE Department & SCSVMV University
Enathur, Kanchipuram, India.
#2
Professor & CSE Department & SCSVMV University
Enathur, Kanchipuram, India
Abstract— A modern Business organism is impression of the
service-oriented approach, specializing in its business strategic
problems
similarly
as
on
its
technical
foundations victimization net Services. Supported business situat
ions,
the potential
of
this rising technology is
made
public with relevancy open
systems
business
integration,
dynamic binding, and versatile management of distributed
business
systems.
Business
intelligence is
employed to
explain applications
and
technologies that area
unit accustomed gather, give access to and analyse knowledge an
data regarding the
organization, to
assist create higher business choices. The
aim of
business
intelligence is to produce unjust insight. Business intelligence
technologies embrace ancient knowledge storage
technologies like reporting;
ad-hoc
querying; online analytical process (OLAP).Simultaneously,
business ways
and
development area
unit careful, starting
from heterogeneous knowledge integration via security problems
towards future business services. Service-oriented design for
business brainpower that produces probable a flawless, addition
of
technologies
in
to
coherent
business
intelligence surroundings, so sanctioning simplified
knowledge delivery and low-latency analytics. Especially, quality
of business service enhancements and network support area
unit to be addressed. Moreover, the connection of serviceoriented architectures and current efforts towards their
synthesis area unit economical business perspective fields.
Keywords:
Service-oriented design,
Intelligence, linguistics Business design,
Management Systems
Business
Performance
I. INTRODUCTION
The Business intelligence management is employed to
explain applications
and
technologies that area
unit
accustomed gather, give access
to associate
analyse knowledge and data regarding an enterprise, so as to
assist them create higher knowing business choices. Business
intelligence
(BI)
technologies embrace ancient
knowledge storage technologies like news,
ad-hoc
querying, on-line analytical process (OLAP). A
lot
of
advanced business intelligence tools victimization rule-based
ISSN: 2231-5381
simulations, net services
and
advanced mental
image capabilities. Traditionally, metal systems are architecte
d with concentrate on the back-end, which is sometimes
supercharged by technologies for knowledge storage. Lately,
architectures for business intelligence have evolved towards
distributed multi-tier enterprise analytic applications.
During this paper we have a tendency to describe a serviceoriented design for
business
intelligence that
produces potential a seamless integration of technologies into
coherent
business
intelligence surroundings, so sanctioning simplified knowledg
e delivery and low-latency analytics. It’s compares serviceoriented approach with ancient business oriented architectures,
illustrate the benefits of the service oriented paradigm and
share the expertise and also the lessons learned in architecting
and implementing the framework.
II.ARCHITECTING PRINCILES FOR BUSINESS
INTELIGENCE
• To present a “solitary adaptation of the reality” across a
whole business.
• To present a simplify system realization, research and
management
• To distribute and deliberate, plan of achievement and
operational data and unmerited insight.
Because of the main target on info in business
intelligence applications, the privileged purpose of read of the
supporting design need to have well-liked paradigms are:
•The air
transportation
system design with
centralized knowledge warehouse and Dependant knowledge
marts
• The knowledge-mart bus design with joined conformed
dimensional
data
marts
• Independent non-integrated knowledge marts
http://www.ijettjournal.org
Page 151
International Journal of Engineering Trends and Technology (IJETT) – Volume 9 Number 3 - Mar 2014
of ancient metal architectures into service oriented, component-based
ones. Moving from our belief that Service oriented design technology
has nice potential
for
delivering increased metal, gift associate
approach
to
architecting metal systems employing
service oriented approach.
Business Intelligence
Analytical Applications
Business
Views
Data
Marts
ETL
Layer
Data
Source
Figure 1: conceptual architecture for business intelligence
In
today’s
heterogeneous
environments wherever several disparate systems and domains
hold completely
different elements of the
required knowledge, the
foremost tough challenges
in
achieving the higher than mentioned objectives area
unit effective information delivery and technology integration.
III. EFFECTIVE INFORMATION DELIVERY
BI systems have to be compelled to deliver the
proper info to the proper customers at right time. Since the
supply info will probably come
back from many
alternative and uninterested sources, knowledge has
got
to be
processed before it's effectively delivered to the top user. There area
unit several knowledge flows existing in any business intelligence
system In most deployed business intelligence environments,
multiple “stovepipe” business intelligence systems – every with their
tools, processes and knowledge architectures – will be found across
multiple business units and divisions of the enterprise. These nonintegrated metal systems
(whether
designed in-house
or
acquired) lead
to high part redundancy,
inconsistent data info,
proprietary,
non-open
commonplace integration
interfaces,
and extremely maintained point-to-point integration that ultimately
increase
the
price of
development and
forestall the accomplishment of one version of truth across the
organization.
The shortcoming of the legacy systems that we are addressing
are:
1. Independent non-integrated data marts for separate data
sources
2. There is no default solution to provide actionable insight
across multiple domains from service management and asset
management
3. Inflexible, non-open, proprietary ETL processes which will
be hard to be reused as sharable,
Loosely-coupled, service oriented pluggable ETL components
4. Front-end functions are implemented with tight integration
with one specific BI tool. It will be
hard to provide agnostic BI portal to be BI tool neutral
5. There is no simple closed-loop process workflow to provide
the actionable insight back to the
Source systems
IV. RELIMINARY EVALUATION OF SMART BUSINESS
NETWORKS
The re-architecting our legacy system is to interrupt down the
legacy components into service-oriented reusable components
able to communicate through open standard messaging
protocols, supported on XML, web service and SOAP. The
ensuring service-oriented architecture of our IT performance
management system (SOA-ITPA) is represented by following
figure.
Figure 3: IT performance management system
Figure 2: Legacy BI Portal System for IT service management
The business intelligence to deliver on its guarantees of real time,
zero
latency info delivery
and closed-loop
system process,
technologies and techniques have emerged or are introduced. One
such
evolution is
that
the
transformation
ISSN: 2231-5381
The key benefits our SOA-ITPA architecture is:
 Integrated and consistent “single version of truth”
data architecture
 Scalable and flexible ETL processes
 Reusable and extensible services, providing
acceptable return on investment
 Actionable insight BI solutions to send BI analytical
results to users and help them to understand the
information so the appropriate actions can be taken in
BI real time environment
http://www.ijettjournal.org
Page 152
International Journal of Engineering Trends and Technology (IJETT) – Volume 9 Number 3 - Mar 2014
The architecture is described to the next level of
principal and component services are explained in detail in the
following diagram
look are parameter-driven, and XML data area unit driven
around to produce specific functions inside ETL service
layers. the advantages of this style are going to be felt a lot
of fully once the system grows and becomes a lot
of complicated,
and to
satisfy extra integrated
applications’ knowledge needs, as we have a tendency
to argue within the validation section of this paper. The
reusability of those services additionally provides a lot
of versatile and scalable ETL method. The implementation
of metal analytical modules for dashboard and news,
performance
management radio-controlled analysis
application
or different higher
cognitive
process applications is
formed easier
and faster by the
utilization of the publisher-subscriber communication
paradigm.
The
RDS
contents area
unit printed and created accessible
to different product and
parts through the quality net service.
VII.IMPLEMENTATION
Figure 4: Service Oriented Architecture for IT Performance
Analytic (SOA-ITPA)
V. INTEGRATED INTELLIGENCE KNOWLEDGE STORE
The
essential a
part
of SOA-ITPA is
that
the integrated centralized integrated news knowledge store
(RDS).
RDS
consists
of
historic,
current
and prognostic knowledge. Variety of part services area
unit designed to populate knowledge from sources into
RDS. To realize collaboration and closed-loop system process,
a period of time subscriber service has to be designed to
permit period
of
time synchronization. Different derived
services, (snapshot service, transmit service and extract
service) area
unit accustomed guarantee consistency of
knowledge providing a deeper insight within the organization
performance. The persistent RDS cannot typically store all the
(cleansed) knowledge to
be
shared
across the
varied parts, together
with those supporting
auditing
and chase activities. Trade-offs has to be created, looking
on what proportion period of time knowledge is needed by the
applications, and the way complicate area unit the ETL
transformations. However, the principle is to own full, rich,
standardized, well-tested and authorized ETL services to
use for various comes and product
VI. SOA ENABLED BI COMPONENT SERVICES
The tightly-coupled gift ETL system – with
dedicated ETL procedures for every part - isn't reusable and
rectifiable. The SOA version that proposes breaks down the
ETL method into generic smaller service modules. The
ISSN: 2231-5381
The SOA-ITPA system was enforced in multiple
phases with agile development principle. The main
target of the
primary part was
the
centralized news knowledge store (RDS) schema management,
to support data management of the information warehouse,
creation and customization of the RDS schema. Building
on the primary part, the second part concentrates on
extract, remodel and
cargo (ETL)
services,
implementing variety of
services to
try
to with knowledge cleansing,
mapping,
loading
and
corresponding auditing services. Following on it, the
third parties the implementation of RDS publish
services, wherever knowledge from
the
RDS will
be created on the market to be consumed as analytical info by
external systems.
The main target of the fourth part is on the
measurements of IT key performance indicators from the
knowledge created on the market within the previous part and
also the presentation of such measurements through
scorecards that enable a radio-controlled analysis of IT
performance.
Finally in a very fifth part a completely
fledged business intelligence resolution was enforced musical
organization the ETL services and
processes
to
produce knowledge marts
for
service
management, quality management and different facet of IT
service management performance.
VIII.C ONCLUSIONS
In this a service-oriented design for business
intelligence that produces potential a seamless integration of
technologies
into
a
coherent
business
intelligence surroundings, so sanctioning simplified knowledg
e delivery and low-latency analytics. It’s compared the
http://www.ijettjournal.org
Page 153
International Journal of Engineering Trends and Technology (IJETT) – Volume 9 Number 3 - Mar 2014
service-oriented
approach
with ancient business oriented architectures,
illustrate the
benefits of the service oriented paradigm and share
our expertise and also the lessons learned in architecting and
implementing
the
framework. Especially,
with relevancy the gift application that represented in, the
SOA-ITPA approach yielded vital gains in simplicity and
price and impact, as we have a tendency to valid
through scrutiny variety of common discipline use cases.
[8] Jong-Phil Kim; Jang-Eui Hong Secure Software
Integration and Reliability Improvement (SSIRI), 2011 Fifth
International Conference on, 2011
However, the gain in flexibility comes at a
price in quality of
a
service-oriented design like SOAITPA conferred
here
with relevancy ancient metal systems. This can be the tradeoff thought that they
have to
create. For
less
complicated metal systems area unit thought of here, it may
be potential to
create viable
solutions
with
the
normal approach. However the SOA approach seems to be the
simplest thanks to cut back the full development and
maintenance value, and to attenuate the chance and impact
across a
whole enterprise once
introducing
business
intelligence solutions. Another advantage of the approach is
that there exist SOA development pointers and lots
of integrated development surroundings (IDE) tools which
will change the event overcomplicated SOA applications.
IX. REFERENCES
[1] Conference on Artificial Intelligence (IJCAI 2003),
Acapulco, Mexico, 2003.
[2] Dumitru Roman, Uwe Keller, Holger Lausen, Jos de
Bruijn, Rubén Lara, Michael Stollberg, Axel Polleres, Cristina
Feier, Christoph Bussler, and Dieter Fensel: Web Service
Modeling Ontology , Applied Ontology, 1(1): 77 - 106, 2005.
[3] T. Ariyachandra, H. J. Watson. “Key Factor in Selecting a
Data Warehouse Architecture,” Business Intelligence Journal,
Vol. 10, No. 2, (Spring 2005), 19-26.
[4] L. Agosta. “Data Strategy Adviser: Advance from
Traditional to Dynamic Data Warehousing,” DMReview.com,
December, 2006
[5] C. Nicholls. “BI 2.0 – how real time Business Intelligence
is irrevocably changing the way that we do business - In
Search Insight,” www.seewhy.com, 2006.
[6] Joonseok Park; Moon, M.; Keunhyuk Yeom Future Trends
of Distributed Computing Systems, 2008. FTDCS '08. 12th
IEEE International Workshop on, 2008
[7] Ahmed, N.; Linderman, M.; Bryant, J. Reliable Distributed
Systems, 2010 29th IEEE Symposium on, 2010
ISSN: 2231-5381
http://www.ijettjournal.org
Page 154