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Factors Affecting Successful Implementation of Business Intelligence Tools

   

Added on  2023-01-07

13 Pages4517 Words197 Views
Business Intelligence

INTRODUCTION................................................................................................................................1
MAIN BODY......................................................................................................................................1
1. Identify the factors that affect the successful implementation of Business Intelligence Tools
in Multinational organisations.....................................................................................................1
2. Evaluate that how BI tools can add value and support DM processes in organisations.........3
3. Advantages and Disadvantages of using BI in organisations...................................................5
4. Recommendations suggested for managers or decision makers regarding using and
applying BI in their organisations................................................................................................8
CONCLUSION....................................................................................................................................9
REFERENCES...................................................................................................................................10

INTRODUCTION
Business Intelligence (BI) puts together information intelligence, data analysis, data engineering,
technology resources and applications and methods to help companies make more evidence-driven
decisions (Božič and Dimovski, 2019). In reality, they realize that have advanced business intelligence
because they have a holistic understanding of the data from the enterprise and use the data to
accelerate improvement, remove inefficiencies, and respond easily to changes in the demand or supply.
Earliest business intelligence (BI) is known as the Cyclopædia of Economic and Industry Anecdotes by
Richard Millar Devens. They used the word to explain how, before their rivals, the banker Sir Henry
Furnese had earned income by obtaining and acting on knowledge regarding the environment require
Enterprises should use market intelligence to help a wide variety of company decisions ranging from
tactical to strategic. Basic business considerations placement or selling of the goods.( Zaby and Wilde,
2018) This assessment cover several topics such as some factors which affect the successful
implementation of BI in the organization and how it generate values to aid DM process. In addition, it
includes the advantages and disadvantages of using business intelligence in the entity. Along with it,
provide some recommendation for decision makers that how to use BI process in their organizations.
MAIN BODY
1. Identify the factors that affect the successful implementation of Business Intelligence Tools in
Multinational organisations
There are several factors which affect the organization while management implement BI Tools for
the successful outcomes (Factors that affecting the successful implementation of BI, 2019). In order to
get success in their operations, multinational organizations implemented BI tools but make sure to
consider such factors before making any business decisions and these factors discussed below:
Figure 1 Business Intelligence, 2020.
1

Culture is King: Not all company is able to adopt a tech framework like a BI tool, or available.
The right approach for daily analysis of data and insights for operational decision-making is
lacking in many organizations (Saura and Bennett, 2019). Although businesses have long
gathered information regarding their customers, products and markets, processing and
exploiting this data is not inherently inherent, consistent, or wide-ranging management
practices.( Zaby and Wilde, 2018) Companies are still discouraged from accepting data from the
top, with executives at C-level having over-reliance and excessive trust in their expertise and
good instincts. This needs to start with the basics down to create a data-driven community. The
data should be available to all, and everyone needs to realize the importance of such BI Tools for
their individual positions and the overall market success, only then can the BI approach become
part of the culture.( Zaby and Wilde, 2018)
Value data as assets: The growing reliance in our everyday lives on emerging technologies has
turned every business into a digital business. Data is gathered in the organization, frequently in
distant locations, agencies that are isolated and fragmented silos. This outcome in a
disassociated planning of the business and badly informed decision making.( Mariani, and et.al.,
2018) Data should be regarded and handled as a valuable business asset, with the necessary
degree of care and consideration paid to such an asset. When an organization is powered by
data and decides to adopt Business Intelligence, the next steps are to set up the tools and
processes to ensuring the raw data is as reliable and timely as it can be transformed into
actionable information.( Mariani, and et.al., 2018)
Implement the right technology: The most important factor to be considered when choosing
the correct BI tool is the 'backend' where information is in structured way. Factors such as
options for data connection and ETL functionality will eventually depend on the ability of the
computer vision to retrieve clean and incorporate the data needed as necessary to provide such
visualizations (Scholtz, Calitz and Haupt, 2018). If they really don't tell the full story or identify
the right or useful information, there's really no value in having the best looking maps. While
cultural heritage, quality information and actively involved stakeholders play a critical role in a
successful BI action plan, in the end it is the decision of the technology involved that will make
things happen, and those people choose to enforce it.( Sun, and et.al., 2018) For example VISA
analytical platform that is powerful application that provides data-driven insights and
performance objectives all supported by Visa’s worldwide payment system and cutting-edge
computer engineering.
2

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