Business Intelligence and Data Warehousing: A Retail Industry Analysis

This report examines the application of Business Intelligence (BI) and data warehousing within the retail industry. It highlights the increasing importance of BI in achieving a competitive edge, particularly in an era of globalization and increased competition. The report explores various aspects, including the use of BI for customer analytics, stock management, and vendor management. It also covers trends like collaborative and embedded BI, as well as the impact of big data and customer behavior analytics. The report discusses how retailers leverage BI tools to analyze customer data, optimize business processes, and make informed decisions. By utilizing BI, retailers can gain insights into product viability, market position, and customer preferences, leading to improved sales, marketing strategies, and overall business performance. The report emphasizes the importance of efficient employee management, customer-centric approaches, and the strategic use of data for success in the retail sector.

Business Intelligence
and Data-
warehousing

The objective if BI is to promote the usage of information systems
worldwide.
Globalization have increased the competition different organizations.
Data is now not collected and managed manually but it is done by the
information systems.
Database systems are used to manage the back-end processes.
The BI applications have been widely used in the organizations to
handle a large amount of information.
The companies have sensitive information that needs to be safeguard
from the security vulnerability.
Introduction

BI and Data Warehousing

Accoring to Olszak & Zurada (2015), Retailers are continuously
making efforts to attain competitive advantage in the market.
There are various information management tools and techniques
that are used by the retailers to contract with suppliers.
But most of the time they have received failures.
BI provides way to the retailers to improve their current business
processes by analysing the strengths and weaknesses of their
business, opportunities and the related threats.
Business intelligence offers opportunities to the companies to
compare and contrast the business processes with other
organizations.
Continued…

Retailers need to promote their business using a list of
innovation which is possible by using technologies related
to business intelligence.
The three main intermediate stages include consolidation,
optimization and integration of business process with the
implemented technology.
When the data if a company is managed properly, it is
easier to attract more of customers for a product or service.
Business intelligence provide tools that sort the raw data
into useful fragments.
Continued…

Insights of a company can be analysed such as product viability,
demand for product supply, improvements in business procedures
and determining the market position.
This helps the companies to generate leads for marketing different
products effectively. Business processes are optimized to the
appropriate information.
Importance of Business
Intelligence

Visualization can be done for the
accomplishment of long-term goals.
This has positive impact on the decision-
making process.
This makes the calculations procedures much
easier for the employees working for a
business.
Continued…

Business intelligences allows centralization of data.
The raw information is filtered and reduces the time required to
export and import data.
Through business intelligence the data is gathered over a central
hub which be accessed by anyone connected over a same network.
Continued…

It streamlines the business processes by
reducing the complexities of data.
It sorts the data according to the
requirements and presents it into the
formatted text.
Benchmarking, computer modelling and
related technologies are used for such tasks
to be accomplished Hillsberg (2017).
Continued….

Owusu, (2017) describes about the technological
advancements are rapidly increasing worldwide,
trends in business intelligence is also increasing.
 Artificial Intelligence- it provides the real-
time data analysis for the information that is
being accessed by the users.
 This gives better accuracy than the analysis
done by human.
 Artificial intelligence is preferred by most of the
industries nowadays.
Trends of Business
Intelligence

 Collaborative Business Intelligence- This allows the
collaborative decision-making process for achieving business
goals.
 This technology can also be accessed by anyone who is outside
the IT team.
 Embedded Business Intelligence- This toll is used to perform
business analytics for the business process.
 These allows business operations to be performed effectively and
efficiently to provide better accessibility to the users.
Continued…

 Cloud Analytics- this provides shorter
deployment time for processing a large
amount of information.
 It also provides large storage space for the
users so that they can retrieve this
information for future use.