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Higher Nationals in Computing

Assessor name: NGUYEN XUAN SAM

Learner’s name: Đào Vĩnh Khang

Qualification BTEC Level 5 HND Diploma in Computing

Unit number and

title

Unit 14: Business Intelligence

Submission date Date Received 1st

Student Name Đào Vĩnh Khang Student ID GCS200222

Class GCS0905B Assessor name Nguyen Xuan Sam

Date:

Assessment Brief

Student Name/ID Number

IV Name & Date

Submission Format

The submission is in the form of a Microsoft® PowerPoint® style presentation to be presented to your colleagues The presentation can include links to performance data with additional speaker notes and a bibliography using the Harvard referencing system The presentation slides for the findings should be submitted with speaker notes as one copy You are required to make effective use of headings, bullet points and subsections, as appropriate Your research should be referenced using the Harvard referencing system The recommended word limit is 500 words, including speaker notes, although you will not be penalised for exceeding the total word limit

Unit Learning Outcomes

LO1 Discuss business processes and the mechanisms used to support business decision-making LO2

Compare the tools and technologies associated with business intelligence functionality

Assignment Brief

Your company is currently working in [Assumed Domain] for 2 years For a new, young company, the competition in the market is very high Therefore, the Board of Director has decided to apply Business Intelligence to improve the company business process by making better decisions

The Board of Directors assigns a small group including you in Research & Development Department to study business intelligence to apply for the company in the coming years

You need to research about business processes and decision support processes in the company and identify the types of data (unstructured, semi-structured or structured) generated by these processes with examples You also need to research about current software used in the business process or decision support process and evaluate these usages (benefits and drawbacks)

Next you need to understand the types of support for decision-making at different levels (operational, tactical, and strategic) within the company and study which business intelligence features can help on those types of support Study the information systems or technologies (of BI) can be used in this case, compare, and contrast them to conclude which should be used

Your group needs to present the research results to the board in a presentation of 30 minutes

D2 Compare and contrast a range

of information systems and technologies that can be used to support organizations at

operational, tactical and strategic

levels

P1 Examine, using examples, the

terms 8Business Process9 and

8Supporting Processes9

M1 Differentiate between unstructured and semi-structured data within an organisation

LO2 Compare the tools and technologies associated with business

intelligence functionality

P2 Compare the types of support

available for business

decisionmaking at varying levels

within an organisation

M2 Justify, with specific examples, the key features of business intelligence

functionality

Table Of Contents

1.Introduction 7

2 Business processes and the mechanisms used to support business decision-making 7

2.1.Example, using examples, the terms Business Process and Supporting Processes 7

2.1.2 Supporting process 9

2.2.Differentiate between unstructured and semi-structured data within an organization 9

2.2.1 Structured data 9

2.2.2 Unstructured Data 10

2.2.3 Semi-structured data 10

2.2.4 Difference between structured, unstructured, and semi-structured data 10

3 Compare the tools and technologies associated with business intelligence functionality 11

1 The tools and technologies associated with business intelligence functionality 11

3.1.1 Why use business intelligence tools? 11

3.1.2 The tools and technologies 11

3.2.Levels of Management Decision Making 14

3.3.Compare the types of support available for business decision-making at varying levels within an organization .15

3.3.1 Strategic Decisions 15

3.3.2 Tactical Decisions 15

3.3.3 Operational Decisions 16

3.4.Justify, with specific examples, the key features of business intelligence functionality .16

3.4.1 Key Business Intelligence Features 16

4 Conclusion 17

5 References 18

Figure 1 The 7 Steps of business process 9

Figure 2The tools and technologies 14

Figure 3 Microsoft Power BI 15

Figure 4 Tableau (source: opinion) 16

Figure 5 Domo (source : mopinion) 17

Figure 6 Levels of Management Decision Making (source: research gate) 18

1.Introduction

This paper focuses on business concepts such as "Business Processes" and "Supporting Processes." Give definitions and examples of unstructured and semi-structured data An overview of some of the tools and technology associated with business intelligence operations Compare the various degrees of assistance available for business decision-making inside a company Justify the essential elements of business intelligence capabilities using concrete instances

The report is broken into two major sections, which are as follows:

-Business procedures and the systems that help businesses make decisions

-Compare the tools and technology connected with the functionality of business intelligence

, 2021) A business process includes at least one of, but not limited to, the following elements: -Task/

Figure 1 The 7 Steps of business process

The business process's seven steps

Step 1: Establish your objectives What is the procedure's goal? Why was it made? How will you know if

Examples of Business Processes

Processes vary depending on the kind, industry, location, and so on of a business, however there are a handful that are applied globally across all these business divisions To assist you comprehend, we shall look at examples of such operations The sales process Selling is a fundamental commercial activity that applies to a wide variety of industries, services, and other domains The following are the stages that most businesses experience:

-Sharing the sales proposal

-Sending quotes

-Negotiations

-Receiving orders for product/service

-Updating records of sales

-Receive customer complaints/issues through CRM

-Acknowledge the customer concern

-Login details of the issue in the CRM system

-Resolve the issue

-Communicate status to customer

A few more examples of business processes are:

-Market research process

-Product development process

2.1.2 Supporting process

The fundamental processes are assisted by supporting processes A supporting step in the manufacturing

example may be hiring production employees There may also be subprocesses, options, and actions For

instance, support processes include:

-Human Resource Management

-Financial Management processes

Building and property management, cleaning and maintenance, Facility management IT processes Procurement and sourcing processes (supplier selection processes, purchasing services,

purchasing materials, sourcing human and financial resources, etc.)

-Vendor Management processes

-Operational processes and routine operation and organization management

-Risk Management processes

-Security Management processes

-Quality Management processes

-Corporate Governance processes

They are typically same among organizations, in contrast to core processes (human resource processes are similar both in the automotive company and in the bank) Support processes at larger businesses are often more complex and sophisticated since more people are involved, the organizational structure is taller, and so on A single individual may oversee a certain support method or duty in a small

organization

Example:

The payroll department may not generate your money, but without them, your employees would not get paid The same goes for a cleaner or someone who washes dishes; they may not make money with their job, but you would notice if they didn't exist!

2.2.1 Structured data

Information that has been prepared and translated into a well-defined data model is referred to as structured data The raw data is mapped into predefined fields, which may subsequently be readily retrieved and read using SQL SQL relational databases, which are made up of tables with rows and columns, are an excellent example of structured data

Because it reduces data redundancy, the relational model of structured data makes use of memory Structured data, on the other hand, is more interdependent and less adaptable Let's have a look at some additional structured data samples Relational data is an example (Marr, B., 2019)

2.2.2 Unstructured Data

Unstructured data is data that exists in its exact unprocessed form Because of its intricate structure and formatting, this data is challenging to process Unstructured data management may arrange data from a variety of sources, such as social media postings, conversations, satellite images, IoT sensor data, emails, and presentations Structured data, on the other hand, refers to data that adheres to pre-defined data models and is simple to analyze Examples of structured data include alphabetically sorted client names and appropriately organized credit card numbers Let's look at some samples of unstructured data after we've defined it Word, PDF, Text, and Media logs are a few examples

2.2.3 Semi-structured data

Semi-structured data is information that does not live in a relational database but has certain organizational qualities that allow it to be analyzed more easily Some processes can be stored in relational databases (it may be difficult for some semi-structured data), yet semi-structured data exists

to save space XML data is one example

2.2.4 Difference between structured, unstructured, and semi-structured data

Table 1 Difference between structured, unstructured and semi-structured data

Unstructured data

Technology It is based on

Relational database table

It is based on XML/RDF (Resource

Description Framework)

It is based on character and binary data

Matured transaction and various concurrency

Transaction

management

It is more flexible than structured data but less

flexible than unstructured data

It is more flexible and there is absence of schema

Only textual queries are possible

3.Compare the tools and technologies associated with business intelligence functionality

3.1 The tools and technologies associated with business intelligence functionality 3.1.1 Why use business intelligence tools?

To begin with, data discovery, which was previously restricted to the skills of advanced analytics professionals, is now something that anybody can perform using these tools Not only that, but these technologies provide you with the information you need to achieve things like growth, handle pressing concerns, collect all your data in one place, estimate future results, and much more

3.1.2 The tools and technologies

Oracle BI

Figure 2The tools and technologies

Oracle BI is a business intelligence technology and application suite for enterprises This technology provides customers with nearly all business intelligence features, including dashboards, proactive intelligence, ad hoc reporting, and more Oracle is also ideal for businesses that need to analyze massive amounts of data (from both Oracle and non-Oracle sources) since it is a very resilient solution Data archiving, versioning, a self-service portal, and alerts/notifications are other important aspects Website: www.oracle.com

Microsoft Power BI

Figure 3 Microsoft Power BI

Microsoft Power BI is a business analytics tool package that is web-based and excels in data visualization

It enables users to discover patterns in real-time and includes fresh new connections that allow you to step up your advertising game Microsoft Power BI is accessible from virtually any location because it is web based Users may also use this software to integrate their apps and give reports and real-time dashboards Website: www.powerbi.microsoft.com

Tableau

Website: www.tableau.com

Domo

Figure 5 Domo (source : mopinion)

Domo is a fully cloud-based corporate intelligence tool that combines data from spreadsheets, databases, and social media Domo is utilized by both small businesses and huge global corporations The platform provides visibility and analysis at the micro and macro levels (including predictive analysis powerd with

Mr Roboto, their AI engine) From cash balances and lists of your best-selling items by area to marketing ROI estimates for each channel, we've got you covered Domo's primary drawbacks are the difficulties in obtaining cloud analytics for personal use and the high learning curve

Website: www.domo.com

3.2 Levels of Management Decision Making

Management decision making is an essential component of management planning Awareness the distinctive character of managerial decisions necessitates an understanding of the sorts of decisions as well as the context in which those decisions are made

Choosing between alternate courses of action is what decision making is all about Management decision making is concerned with the decisions that managers confront during their activities in the company Making decisions is an essential part of planning Decision making may also be divided into three types based on the level at which it occurs

Strategic Decisions - These decisions create the organization's strategies and objectives These choices

are often made at the highest levels of organizational management

Tactical Decisions - Tactical decisions are about the strategies employed to achieve organizational goals

Middle and front-line managers make the majority of tactical choices

Operational Decisions - Operational decisions address the ways for delivering value to clients by the

organization Middle and front-line managers make the majority of operational decisions

Strategic decision-making differs from day-to-day decisions from the standpoint of management As a manager, you must allocate duties, convey goals to your team members or external stakeholders, and account for uncertainties The judgments you make effect not only you, but the entire corporation It's a good idea to practice making objective decisions that are free of bias and prejudice

3.3.2 Tactical Decisions

According to Blue Collar University, tactical decision making is a business approach in which decisions are made with the goal of assuring a company's success This implies that the firm makes decisions that