Database and Business Intelligence for HCL: A Comparison of MS Access, SQL Server, and Oracle | Desklib

This article compares MS Access, SQL Server, and Oracle for HCL's data management system. It discusses the value of extractable intelligence from DBMS and provides recommendations for revenue and staff strength. Subject: Database and Business Intelligence. Course Code: N/A. Course Name: N/A. College/University: N/A.

Database and business
intelligence

INTRODUCTION
Business intelligence system can be understood to improve an enterprise decision, by
making tools for gaining storage of data, storing, accessing and analysing business data evolved.
Also, it is combination of tools and systems involved in enterprise strategic planning which aids
in analysis for larger working efficacy on extended periods within structural innovation
scenarios. HCL in last 8 years has been customer driven organization, where delivering
innovative solutions further forms strategies for training larger growth rise to evolve on
extensive rise. The company aims to utilize the best quality catering services towards wide range
of market oriented services, where HCL logically aims to further cater exponential rise in fast
developing markets. Company has been witnessing huge scale rise on fresh, seasonal foods
within school where it aims to offer wide range of quality catering services among services. The
telesales operations and online sales system, has varied range of customer complaints, where
customer experiences further enable to innovate faster actively.
Overview of company and its aim
HCL as one of the most productively expanding company aims to further keep track on
employee details including details regarding customers, in terms of standard promotional aspects
and to further enhance stronger quality growth. Online sales system, further aims to deliver
stringent innovation, and faster pace among extensive business goals for competent scope within
longer oriented systems which further raises goodwill (Tricoche, 2020). HCL aims to adopt new
scale database management systems, where software investment plays strong role for
strengthened working vision in achieving huge rise on extended paradigms informatively.
For this aspect, it can be analysed that HCL values extractable intelligence from DBMS
which further enhances abilities to further innovate more competitively, for regaining scope
towards extensive scale domains. Within recent time period, businesses among companies are
evolving to develop critical rise for high quality catering services within innovative business
goals competitively (Sharma, 2017). An in depth comparison of MS access, SQL servers and
oracle further will enable company develop stronger working base diversely within software

parameters for achieving stronger range of operations. HCL business, aims to develop potential
scale expansion where extractable intelligence from DBMS enhances working competencies to
be further advanced on for new scale informative growth. By adopting to new scale software, the
company further will be able to evolve on extensive commercial growth on terms of innovation
business avenues extensively for leveraged rise within business extended goals competently
(Syamsiana, Setiawan and Saputra, 2020).
Intelligence data base
The intelligence data base plays crucial role for employing artificial intelligence,
interacting with users to ensure huge returned items in most relevant aspects within working
innovation parameters. HCL by using intelligence data base provides expanded goals,will be able
to further intricate flexible options and conduct major queries practically on wider horizons for
competent innovation variedly. Business of HCL, aims to derive the best flexible approach on
terms of technology functional growth for determining best vision oriented paradigms and
develop fundamental expansion within technology (Van Aken and et.al, 2017).
There has to be significant in depth comparative analysis done on MS access, SQL server
and Oracle which are some of the most significant data base systems used on by companies to
ideally form competent innovation. Intelligence data formation, forms up wider scale operations
for stronger expertise oriented rise for larger scale business development to be worked on
towards functional pathways. HCL aims to derive the best technology, best vision formative
scope for hindering expertise rapidly on new paradigms for technical profits rise. There has to be
also scaled up rise on varied technical business quest evolved, for systematic data base
management aspects for expertise enhancement.
As company has been witnessing huge volume increase in consumer complaints, where
usage of the best data base management system plays crucial role for innovative faster reach. It is
vital for HCL to expand the best data base system to develop expertise in handling customer
experiences and innovate faster for large scale profits, which pools up innovation working reach
competitively on extensive scope. As the company has been witnessing huge issues in keeping
records of all systems, there is functional need to adopt the best systematic working rise on
functional working domains. Usage and investment in the best data base system, will enable
business to diversify scope and further generate higher functional working evolved for digital
advancement (Raza and et.al, 2018).

Critical comparison
Features of MS access :
Features of Oracle:
MS access is small database
system, which allows to
further create small medium-
sized database minimum
security features extensively
on working grounds for
securing optimum rise on
features significantly. Oracle
on the other hand as compared
with MS access, can be
integrated with advanced NT
security parameters which gets
data authentically worked on
for larger scale functional
growth efficacy.
Oracle adoption on other hand
determines massive multi
users, to deliver higher scale
quality reach among
operations for company to
optimize new functional
working parameters
innovatively. As HCL aims to
develop value from most
advanced demonstrated
extractable intelligence, for
higher quality business goals
and achievement to develop
potential growth expertise
rapidly.
Features of SQL: SQL server
is lot easier to work with as
compared with MS access and
needs to be dedicated further
advanced on by using DBA
administer which further
enables business goals to be
fragmented up informatively
on structured. HCL has
significant benefits for
adopting SQL, as compared
with MS access which shapes
quest rise dynamically on
piratical business targets for
extended scope.
However, on
comparison with Oracle,it
holds advanced reach and
technology oriented scope to
be functionally evolved on
new working grounds rapidly.
It aims to further deliver new
predictable and well
documented aspects within
business model scenarios

productively on structured
horizons.
Pros: MS's access is
particularly scaleable, where
multiple users are there and
significant rise evolving
among multiple users which
further forms advanced scale
adopted for extensive growth
(Zhang and et.al, 2018).
Cons: It lacks efficiency to be
adopted with changing
parameters of time among
company business goals,
which exponentially plays
crucial role for strengthened
vision significantly on larger
performance goals. Access
does not provide good
prototyping tool in
development and deployment
of tools for faster platforms
traducement, which lowers
productive innovation
strategically for new
paradigms potentially. It also
lacks scalable business
objectives for new services to
be delivered and providing
commitment on rolling
Pros: It reduces performance
outages, where resolving
problem efficiency is there
within business grounds,
where stability is there for
effective rise on extended
competitive grounds rapidly
for new performance goals
innovatively.
Cons: Oracle database is
ported to varied platforms
reach for competition to be
segmented into deliverables
with changing pace among
business performance goals
exponentially.
Pros: The SQL server is easy
to install, enhanced
performance is there and
several SQL editions are there
which gives excellent data
restoration aspect worked on
for management (Nidzwetzki
and Güting, 2017). It can be
analysed that there is lower
cost of ownership, for
business to further evolve by
implementing SQL software
and derives competent
innovation as compared to MS
access within company
working scenario.
Cons: SQL lacks innovation
further pace significantly on
wider horizons as compared
with oracle for competitive
business growth rapidly.

features for extended platform
growth.
Scalability : MS access lacks
scalability within business
operations, as with changing
varied new goals company
need to develop proper
advanced technologies rapidly
on untapped grounds.
Scalability : Oracle is scaled
up for strengthening improved
advancement
Scalability : It can be also
analysed that there has been
significant growth organized
with implementation of Oracle
which shapes competitive
business to be evolved. It is
easy to be adopted
significantly on extended
functional growth targets,
which shapes scope for
leveraged rise grounds
diversely.
Migration: Easy for company
to adopt, but lacks efficiency
to be adopted in longer time
run.
Migration: Costly for
company to adopt and develop
new scale business strategies
significantly. It gracefully
brings change in system
configuration and demand,
where additional oscillations
within performance level of
applications is enhanced
variedly (Lustosa, Porto and
Valduriez, 2019).
Migration: There has been
scope evolved, to yield on
innovation for expertise
business growth within data
business management goals
for larger profitability
parameters (Fakhimuddin,
Khasanah and Trimiyati,
2021).
Training cost: Training costs
for MS access is less for
company business goals and
need to be further integrated
on towards developing new
Training cost: Cost of Oracle
database, determines company
to get high scale working
returns and is also vitally
crucial to be adopted with
Training cost: Training costs
of SQL is less as compared
with Oracle.

services training. changing pace of time for
higher working advancement
rapidly on extended business
grounds practically
(Onyepunuka Michael,
Fumnanya and Eze, 2021).
HCL determinately will be
able to signify new back up of
data operations technically,
and evolve on optimistic
functional innovation
competitively with usage of
Oracle which is also one of the
most profitable investment for
company.
Maintenance cost: Less cost
as MS accesss is less costly
for business to develop proper
technology adoption, where
this will develop proper
affordable settings.
Maintenance cost:
Furthermore, by using oracle
software systems can be also
significantly evolved for
strengthened vision and new
scale vision on competent
vision for exponential growth.
The business domains are also
determined to be leveraged
significant growth for higher
profits, which further rises
extended profitability evolved
primitively. Oracle on other
hand, determines new scale
functions to be further
Maintenance cost: Affordable
for business to be
implemented in significant
rise on extended business
parameters.

segmented into productive
usage for larger scale
productivity worked on within
exponential targets
dynamically.
Security: Less security as
compared with oracle and
SQL server.
Security: The Oracle database
management is automated,
policy based productive aspect
which shares significant rise
on new applications' usage for
functional growth on
performance levels
commercially.
Configuration:The
comparison of Oracle and MS
access further creates
structural rise on productive
levels competently, which
develops stronger base on
extended paradigms towards
higher profitability parameters
on structural growth rise. HCL
with changing business goals,
further aims to derive higher
quality rise on adopting the
best data base systems for
strengthening vital functional
grounds crucially.
Security: HCL will be able to
further integrate wider scale
targets, deliver wider
optimistic performance growth
for extensive work records
within data management.

Value and importance of chosen DMS to HCL
Value should be mostly demonstrated because of extractable intelligence from DBMS
which shapes up efficacy competitive deliverables. This further correlates competent innovation,
new machine oriented automation for companies to adopt towards new intricate findings within
wider scale business avenues. The Oracle data base management system holds huge functional
rise for determined competitive innovation and huge expertise by being best delivered on
extensive paradigms. Value should be mostly innovatively demonstrated for intelligence aspects
to be further shaped up informatively and bring on competitive rise on software reach actively.
This enables business to be diversified crucially, for strengthening innovation among
management of valuable operations in data management significantly on wider horizons. This
further also forms strategic working grounds to be evolved on exponential competitive domains ,
for functional growth horizons towards extended domains for higher technology oriented
paradigms.
On other hand in comparison , it can be also analysed that by using new scale services
expansion value there is further scope evolved for larger technical growth. The oracle data
business management system enables proper systematic record of leveraged rise for also
delivering functional growth strategically. This further also correlates to deal with challenge
scenarios which further forms competitive scale operations evolve on evolving data management
systems significantly. Development process related with data base solutions further forms
strategic rise on extensive scope for innovation to be further formed up for company to achieve
best working benchmarks. HCL aims to develop track of customers contacts effectively within
business grounds, where quality of services and incentives are also further signified on
productive working horizons on extended paradigms (Chauhan and Tripathi, 2019). HCL by
using Oracle data base,in comparison with MS accesses and SQL server aims to develop
potential working rise diversely which further forms crucial working grounds on systematic
business paradigms within longer grounds innovatively. Furthermore, quality of services and

incentives are also diversified by using the best software data management on practical domains
for gaining huge working profits in revenue grounds.
Recommendations
There is further scope for HCL to evolve on new vision oriented targets, and be
optimistically advanced for utilising data management systems advanced working scenarios
rapidly. Company revenue and staff strength, for HCL will be significantly evolved when
implementing Oracle as it further forms strategic rise to evolve on higher new profit working
goals significantly on wider domains. Staff strength, and workforce evolvement will also be
improvised in HCL as there will be proper record of working targets, generate significant
working criteria for strengthening extensive growth. Oracle data based further develops stronger
rise, based on latest technical targets and generate keen working scenarios as per latest working
criteria for operative growth scenarios informatively.
Conclusion
From the above comparative analysis, it has been concluded that HCL by adopting Oracle
data base management systems will be able to determine expertise oriented paradigms and
extended participation of workforce creatively. Within recent research, it has been identified that
study has highlighted functional utilization of the best technical expertise evolved on software
and data base management systems. Oracle offers company business wide scale efficacy, in
comparison with SQL and MS access which are less advanced and developed on for attaining
new functional working growth. This further also derives business technical vision to be
expanded on wider horizons, where MS access and SQL are less diversified as compared to
Oracle for delivering functional utilization. Research within present study has also highlighted
vision, and practical working domains to keenly expand scaled up rise among working
operations records for optimizing best profits. Furthermore, Oracle determines the best technical
scope for larger crucial advancement in leveraged functional profits within longer extended
market potentialities (Ataei, 2021).

REFRENCES
Books and Journals
Ataei, P. S., 2021. Theory and Implementation of a Variational Database Management System.
Chauhan, N. and Tripathi, S. P., 2019. QoS aware replica control strategies for distributed real
time database management system. Wireless Personal Communications. 104(2).
pp.739-752.
Fakhimuddin, M., Khasanah, U. and Trimiyati, R., 2021. Database Management System in
Accounting: Assessing the Role of Internet Service Communication of Accounting
System Information. Research Horizon. 1(3). pp.100-105.
Lustosa, H., Porto, F. and Valduriez, P., 2019, October. Savime: A database management
system for simulation data analysis and visualization. In SBBD 2019-Simpósio
Brasileiro de Banco de Dados (pp. 1-12).
Nidzwetzki, J. K. and Güting, R. H., 2017. Distributed secondo: an extensible and scalable
database management system. Distributed and Parallel Databases. 35(3). pp.197-
248.
Onyepunuka Michael, I., Fumnanya, E. and Eze, E. C. P., 2021. Effects of Access Database
Management System Hands-on Experience on Students’ Academic Achievement
and Self-Efficacy in Database Management. International Journal of Psychosocial
Rehabilitation, 25(03).

Raza, B and et.al, 2018. Performance prediction and adaptation for database management
system workload using Case-Based Reasoning approach. Information Systems. 76.
pp.46-58.
Sharma, N., 2017. Overview of the Database Management System. International Journal of
Advanced Research in Computer Science. 8(4).
Syamsiana, I. N., Setiawan, A. and Saputra, M., 2020. Design of Energy Database Management
System (EDBMS) on the unit 2 outgoing transformer at the State Polytechnic of
Malang. In IOP Conference Series: Materials Science and Engineering (Vol. 732,
No. 1, p. 012052). IOP Publishing.
Tricoche, A., 2020. Database management system.
Van Aken and et.al, 2017, May. Automatic database management system tuning through large-
scale machine learning. In Proceedings of the 2017 ACM International Conference
on Management of Data (pp. 1009-1024).
Zhang, B and et.al, 2018. A demonstration of the ottertune automatic database management
system tuning service. Proceedings of the VLDB Endowment, 11(12), pp.1910-1913.