Data Handling and Business Intelligence

This report explores the concept of data handling and business intelligence, including data warehousing, data mining, and their impact on business profitability and productivity. It discusses the strategies developed by organizations to effectively utilize these tools and techniques and gain a competitive advantage. The report also evaluates the strengths and weaknesses of business intelligence utilization and provides a literature review on the topic.

DATA HANDLING AND
BUSINESS INTELLIGENCE

Table of Contents
INTRODUCTION...........................................................................................................................3
'Realizing the strategic impact of business intelligence utilization'. ..........................................3
Literature review ........................................................................................................................4
Critically evaluate data warehousing, data mining and business intelligence on the based of
author..........................................................................................................................................5
CONCLUSION ..............................................................................................................................6
REFERENCES................................................................................................................................7

INTRODUCTION
Data handling and the business intelligence is concept which includes various policies,
standards and practices in order to organisation using this technology effectively because growth
and sustainability of business. It involves various tools and techniques such as data warehousing,
data mining and business intelligence which helps to effectively conducting business functions.
It considers as technology which easily managing data, collection and storage as well as sharing
information with stakeholders (Cano, 2018). The report is about organisation developing various
strategies which impact on business profitability and productivity of company. It involves
critically analysed the data warehousing, mining and business intelligence process in order to
growth and sustainability of business model.
'Realizing the strategic impact of business intelligence utilization'.
These are concept which refers to business utilised various tools and techniques in order
to evaluate their performance as well as it is essential due to helps in improvement business
functions. Most of organisation work on traditional approach and they cannot used advanced
techniques such as artificial intelligence. On that basis financial management properly
arrangements of funds in order to proper utilisation of resources and technology. In present
context, environment changes very fast so organisation developing effective strategies which
impact on business model (Jung, 2017). There ample numbers of strategies developed by
organisation and they effectively implemented in order to smooth conducting of business
operations. It includes operation factor so they are essential both qualitative and quantitative
factor because products produces in good quality and quantity so businesses easily serves to
customers and achieving profitability and productivity. Organisation using various business
operations in order to enhancing company performance and effectively adapting technology
changes. It involves business model used various techniques in order to analysed the business
environment so they easily gaining competitive advantages. Business investing huge amount in
order to conducting smooth business activity which helps to improving performance and
developing brand image at marketplace.
Strength and weaknesses of 'Realizing the strategic impact of business intelligence
utilization'.

Strength:
 It is one of the effective tool and techniques which are helps to managing data so
company easily operate their business.
 Business intelligence is process in order to empowering organisation to easily expand
their business in new markets.
 It is used by leaders and mangers so easily helps to improving performance of company.
 It is greatest strength in order to decision making because data analytical and mining on
that basis easily budget allocation.
 It is process which are refers to providing collaboration from inside and outside the
organisation due to easily sharing data by using electronic medium.
Weaknesses:
 The greatest weaknesses of this tool in order to data breaches which including higher risk
of leak data because BI handling sensitive data.
 Business intelligence software are difficult to implementing in organisation so it incurred
heavy cost and expensive.
 This is complicated procedure because collected data from different source so difficult to
analysing and managing.
 In present context, it includes most of organisation digital so BI tools and techniques
analyse the irrelevant data which result as negative.
 It is tools and techniques which difficult to managing data-driven and most of
organisation not established effectively so affecting performance of company.
Literature review
According Vincent Rainardi (2010), this stated that there are various tools which helps to
perform business functions effectively and they widely used by organisation because there are
various software which helps managed the data effectively. It involves there ample numbers of
tools such as ETL, reporting tool, business performance management, OLAP, RDBMS, MRP
and etc. All these tools helps to managing data warehousing and its is new technology which
utilised by organisation in order to gaining competitive advantages. ETL is software which used
by organisation and it is marketing tool so effectively managing activities. It is tool which most
of industry using such as banking, supermarkets and many more because there are ample
numbers of data of customers so accordingly managing their information. Reporting tool is new

techniques which known as business intelligence and they used as reporting products and
services on timely mannered. Most of IT department work on this software because lot of
companies used SQL server (Data warehousing, BI and Data science, 2010). All these tools and
techniques effectively used by company in order to managing performance and enhancing
profitability and productivity of company. It considered as managing the price of product with
help of this software. Most of companies developing pricing strategies in order to so price of
products are vary from comp[any to company. This tool helps to effectively developing price of
products and easily serves to customers and track them.
According to Tehreem Naeem ( 2018), it stated that there are data warehousing, business
intelligence and data mining all are used by organisation as advanced technology and it helps to
improvement business functions and it is considered as new trend which meet demand of the
industry. Most of organisation using traditional data warehousing but they are not capable and
sufficient to storage of large amount of data. These tools and techniques easily managing large
amount of data and organisation effectively and efficiently used by business model. There are
ample numbers of benefits such as complex data easily managed and they are effectively
designed in order to fulfil the requirement of business functions. They are included various
features which helps to smoothly run business operations. It designed in that manner which
include higher speed, proper network and disk. They are managed column based data because it
help to solve analytical queries and speedy to solve all the essential query response. It
significantly important because they handle column store similar values. It is effectively
managing workload such as basic reporting, continuous real time load, bulk load, operational
load, online analytical processing and data mining (Industry Trends: What’s Next in the World of
Data Warehousing, 2018). This tools and business intelligence solve all this problem effectively
and efficiently so it is plan accordingly because it considered huge amount of investing such as
sustainability issues, increased administration costs and many others.
According to Sandra Durcevic (2019), it includes that today's environment changing very
fast so organisation used effective decision making process in order to business model depend on
high quality information. Most of organisation using data warehousing, data mining and business
intelligence because they easily gaining competitive advantages. All these tools and techniques
helps to improving business performance and data warehousing considered as backbone of
company. Business intelligence is process which help to smoothly conducing business activity. It

include is term which followed a standards and policies of organisation which refers to computer
based technology such as online data visualisation, reporting and analysis. It is process which
refers to organizing, storing, cleaning and extraction which helps to properly storage of data.
Modern business model used the business intelligence in order to properly collection of data,
data integration, storage of data, data analysis, distribution of data, reaction based on insight. The
first stage is collection of data which used various software such as CRM, ERP, database, file or
API and many more. This kinds of techniques used business in order to successfully data driven
and effectively decision making which helps to increasing productivity and profitability of
company. Second stage is data integration which refers to loading of data so they transform in
order to increasing amount of data on IT departments and professionals so they helps to
managing and extraction of data with the used if ETL service. On that basis extracted those data
which are not useful and those data are important so pulled from external sources and they
impact on performance of their issues (The Role Of Data Warehousing In Your Business
Intelligence Architecture, 2019). Data storage and data distribution both this are important
because they effectively established in an organisation with the help of IT department as well as
storage of data effectively and distributed means sharing information with the stakeholders
because it is essential to growth and sustainability of business model.
1Critically evaluate data warehousing, data mining and business intelligence on the based of
author.
On the basis of above report and accordingly to authors which impact on the business
performance and enhancing business profitability and productivity of company. It includes all
this tools and techniques which effectively utilized by organisation in order to properly storage
of data, distribution and managing in that way to smoothly run business operations. There are
ample numbers of methods are followed by three author in order to developing business model,
growth and sustainability at marketplace (Hussain, 2018). In addition to this, business
intelligence used by modern organisation because it include huge amount of investing and
accordingly established in an organisation. This tools helps to managing business performance
effectively and gaining competitive advantages and grape new opportunities in the market. It
involves IT department play vital role because various software which helps to easily conduct
business functions and achieving organisation goal and objective of company.

CONCLUSION
From the above report it has been concluded that, data handling and business intelligence
is process which effectively utilised by company in order to improving performance of company.
IT department plays vital role because effectively and efficiently established new technologies
and tools which helps to smoothly run business operations. It includes various kinds of software
such as ERP, reporting system , business performance management as well as organisation
developing new strategies regarding business intelligence. It involves various measures such as
data warehousing, mining and many other.

REFERENCES
Books and Journals
Cano, A., 2018. A survey on graphic processing unit computing for large‐scale data
mining. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 8(1),
p.e1232.
Hussain, K., 2018. Artificial Intelligence and its Applications goal. Artificial Intelligence, 5(01).
Jung, J.J., 2017. Computational collective intelligence with big data: Challenges and
opportunities.
Long, Q., 2018. Data-driven decision making for supply chain networks with agent-based
computational experiment. Knowledge-Based Systems, 141, pp.55-66.
Serra, F., 2020, August. Handling context in data quality management. In ADBIS, TPDL and
EDA 2020 Common Workshops and Doctoral Consortium (pp. 362-367). Springer,
Cham.
Suthaharan, S., 2016. Machine learning models and algorithms for big data classification. Integr.
Ser. Inf. Syst, 36, pp.1-12.
Online
The Role Of Data Warehousing In Your Business Intelligence Architecture, 2019 [online]
Available through < https://www.datapine.com/blog/data-warehousing-and-business-
intelligence-architecture/>
Industry Trends: What’s Next in the World of Data Warehousing, 2018 [ online ] Available
through < https://datawarehouseinfo.com/industry-trends-whats-next-in-the-world-of-data-
warehousing/>
Data warehousing, BI and Data science, 2010 [ online ] Available through <
https://dwbi1.wordpress.com/2010/12/22/current-trend-in-data-warehousing-business-
intelligence/>