Business Intelligence ( Bi )

Business Intelligence ( Bi )
As Wikipedia's explanation, Business intelligence (BI) is the set of techniques and tools for the
transformation of raw data into meaningful and useful information for business analysis purposes. It
is a solution package, to integrate all the existing data of organizations efficiently, provide accurate
report to support high level managers to make business strategic decision. BI is not a new concept, it
was introduced in 1996 for the first time. As the development of BI is the ETL technologies, ETL
stands for Extraction Transformation Loading. Data integration platforms focus on extracting and
transforming various business data, to support the requirement of Business intelligence, Data
Warehouse against the data format and data mining. ... Show more content on Helpwriting.net ...
What changes the Big Data will take into BI area? Is Big Data analytics just simplify the extension
of Business Analytics?
Introduction and Benefits
Business Intelligence History
Business intelligence (BI) is the set of techniques and tools for the transformation of raw data into
meaningful and useful information for business analysis purposes. It is a solution package, to
integrate all the existing data of organizations efficiently, provide accurate report to support high
level managers to make business strategic decision.
Trace back to 1865. Cyclopaedia of Commercial and Business Anecdotes, a Richard Millar Devens'
work, contains the first known usage of the term "Business Intelligence". He uses this word to
describe Sir Henry Furnese, a banker, succeeded: he had an understanding of political issues,
instabilities, and the market before his competitors.
Hans Peter Luhn, an IBM computer scientist published a landmark article, A Business Intelligence
System. In that book Mr Luhn defined Business Analytics, "The ability to apprehend the
interrelationships of presented facts in such a way as to guide action towards a desired goal".
Essentially, he point to the core of what BI is: "a way to quickly and easily understand huge amounts
of information data so that the best possible decisions can be made. Luhn did more than introduce
and expand the possibilities of a new
... Get more on HelpWriting.net ...

Business Intelligence Software
As we discuss the possibility of emerging into business intelligence software we must keep in mind
the overall purpose of using any type of software is to reach strategic goals in order to increase
market shares. I will discuss how business intelligence software will allow us to meet those strategic
goals. We will establish what type of information and analysis capabilities will be available once
this business intelligence software is implemented. We will discuss hardware and system software
that will be required to run specific business intelligence software. Lastly, I will give a brief
synopsis on three vendors (IBM, Microsoft Microsoft and Oracle) that are dominating the business
information software industry today.
The goal to ... Show more content on Helpwriting.net ...
There are obvious advantages to both setups. The scale–up version allows us to reduce the
requirement for a robust information technology team due to the central location of the server while
reducing the number of nodes or users that can access the ‘one ' server. While the scale–out system
will require a more robust information technology team spread throughout the corporation to service
the various servers. Once this decision is made this will be the architecture that the system will be
based on. The server or servers is the most significant change in our present architecture that will be
required. The business intelligence software is capable of running on multiple operating systems
(Linux, UNIX, Windows NT) dependent on the system that is chosen. The business intelligence
software is capable of running on the present computer stations throughout our corporation. The
software will require loading to individual computer stations then they will be added to the network
once the system is brought online.
I have researched three of the industries leaders; IBM, Microsoft, and Oracle. They continue to
capture the market share in this ever–changing environment. Even though IBM continues to state
there ability to down size their product to meet medium and small businesses they continue to use
large corporations as their base customer line. While Microsoft and there new

Business Intelligence and Technology
Introduction
In modern business, vast amounts of data are accumulated, which makes the decision–making
process complicated. It is a major mutual concern for all business and IT sector companies to change
the existing situation of "mass data, poor knowledge" and support better business decision–making
and help enterprises increase profits and market share. Business intelligence technologies have
emerged at such challenging times. Business today has compelled the enterprises to run different but
coexisting information systems.
ETL plays an important role in BI project today. ETL stands for extraction, transformation and
loading.
ETL is a process that involves the following tasks: Extracting data from source operational or
archive systems which are the primary source of data for the data warehouse; transforming the data
– which may involve cleaning, filtering, validating and applying business rules; loading the data into
a data warehouse or any other database or application that houses data.
ETL Tools provide facility to extract data from different non–coherent systems, transform (cleanse
& merge it) and load into target systems. The main goal of maintaining an ETL process in an
organization is to migrate and transform data from the source OLTP systems to feed a data
warehouse and form data marts. ETL process is the basis of BI and it is a prime decisive factor for
success or failure of BI.
Today, the organization has a wide variety of ETL tools to choose from market.

Business Intelligence ( Bi )
Abstract:
As Wikipedia's explanation, Business intelligence (BI) is the set of techniques and tools for the
transformation of raw data into meaningful and useful information for business analysis purposes. It
is a solution package, to integrate all the existing data of organizations efficiently, provide accurate
report to support high level managers to make business strategic decision. BI is not a new concept, it
was introduced in 1996 for the first time. As the development of BI is the ETL technologies, ETL
stands for Extraction Transformation Loading. Data integration platforms focus on extracting and
transforming various business data, to support the requirement of Business intelligence, Data
Warehouse against the data format and data mining.
Big data is a broad term for data sets so large or complex that traditional data processing
applications are inadequate. Big Data focus more on finding new correlations of massive of data sets
not only the causation. Big data as a term maybe new, but many IT and business analysts have
worked with huge amount of data in various industries for years.
Big data application is booming these years, because organizations gradually realized the value of
unstructured data which could hit terabytes even petabytes level. Such as social media and other
sources. The way that Traditional Business Intelligence processing structured data could not handle
massive unstructured data. Which raise new requirement for BI to have the ability to process

Role Of Business Intelligence On Business Performance...
Yan shi, Xiangjun (June/2012), 'The Role of Business Intelligence in Business Performance
Management', Volume 1(Issue 04)
Summary:
These paper focusses on how to apply analytics to business process and how BPM encompasses a
closed loop set of processes that link strategy to execution in order to optimize business
performance, which is achieved by setting goals and objectives and establishing initiatives and plans
to achieve those goals and the last taking corrective action against the situations.
Critique:
A real time system that alerts managers to potential opportunities, impending problems and threats,
and then empowers them to react through models and collaboration.
BPM and BI Compared: BPM is an outgrowth of BI and incorporates ... Show more content on
Helpwriting.net ...
Business activity monitoring: Executives fail to consider the readiness of technology or of the
business processes they want to monitor. Effective business activity requires working closely with
the business units to identify the key indicators and analytical techniques that provide reliable early
warning of impending issues.
Hugh J. Watson and Barbara H.Wixom (2007), 'The Current state of business Intelligence', Volume
40 (Issue 9)
Summary:
Business intelligence (BI) is presently broadly utilised, especially in the world of practice, to
describe analytic applications. BI is a process that includes two primary activities: getting data in
and getting data out. Getting data in, traditionally referred to as data warehousing, includes moving
information from a set of source frameworks into a coordinated data warehouse. Getting data in
delivers limited value to an enterprise; only when users and

A Data Warehouse And Business Intelligence Application
Abstract
A data warehouse and business intelligence application was created as part of the Orion Sword
Group project providing business intelligence to order and supply chain management to users. I
worked as part of a group of four students to implement a solution. This report reflects on the
process undertaken to design and implement the solution as well as my experience and positive
learning outcome.
Table of Contents
Abstract 1
1. Introduction 3
2. Process and Methodology 3
2.1 Team Member Selection and Organisation 3
2.2 Requirement Analysis 4
2.3 Top Down Vs Bottom Up Data Warehouse Design 4
2.4 Team Dynamics and Conflict Resolution 5
2.5 Final System Architecture, Design and Implementation 5
3. Proposals for Future Implementation 6
4. Self–Reflection 7
4.1 Self Discovery and Technical Development 7
4.2 Reinforced Understanding of the Subject 7
5. Conclusion 7
6. References 8
7. Peer Review Assessment 8
1. Introduction
Working as part of a group of four students, an end–to–end data warehouse application was
designed and built as part of the Orion Sword Group Consultancy project for the Data warehouse
course module.
The implementation of the data warehouse was based on Kimball's (Kimball and Ross, 2013)
dimensional modelling techniques which involved business requirements analysis & and
determination of data realities and the four step dimensional modelling design process. These was
followed by the design and

Annotated Bibliography On Mobile Business Intelligence
COMP1715 SCHOLARLY AND ACADEMIC PRACTICE
INTERIM SUBMISSION
ANNOTATED BIBLOGRAPHY:
Mobile Business Intelligence; Who Benefits?
PRINCESS DAVID OKORO
000857230
1 TABLE OF CONTENTS
2 INTRODUCTION 3
3 ANNOTATED BIBLIOGRAPHY 3
4 CONCLUSION 6
5 REFERENCES 6
2 INTRODUCTION
The perception of mobile computing has been widespread in recent time, thus, generating a platform
for the increase of Mobile Business Intelligence .This trend has been moderately encouraged by a
drift from traditional computers to a wireless world with the improvement of smartphones which has
led to a new age of mobile computing, particularly in the field of Business Intelligence. Kolb
(2012), defined Business intelligence as a business ... Show more content on Helpwriting.net ...
(2010). The mobile Business Intelligence Challenge. Economy Informatics. 1 (1), 8.
This article examines the challenges faced with the application of mobile business Intelligence
within an organisation. Over the years, the demand of data management and usage has increased
within an organisation. As a result of the increase in data creation as well as availability, most
organisation has sought out various medium to make their data mobile in which they are available
for use at any time, thus sustaining competitive advantage by integrating all data channels to offer a
broader analytical perspective on a business for competitors. Furthermore, the author stated some of
the reasons of the use of Mobile Business Intelligence, which includes the possibilities for real time
decision support, it's accessible as mobile phones are part of our day to day life, etc. However, with
the range of large data to process and use simultaneously, this may likely generate into problems

such as security risk, difference in GUI of a phone and a Computer, Low storage space in most
mobile devices. In particular, there a few limitation faced when running BI application on a mobile
interface such as, the limited amount of sent data, poor resolution of a mobile device, low memory.
Despite of all the positive and negative arguments concerning the Mobile Business Intelligence field
the author explained that the reality is somehow different because there are still barriers to overcome
and

Business Intelligence Definition and Capabilities
Business Intelligence
Definition and Capabilities
Compiled
By
JAIRO A. TABORDA
For
Information Technology Department
Municipality of Envigado
Important Note:
These are original texts and were written and revised on 10 February 2012 by Gartner Inc. The
original document is part of Gartner 's Magic Quadrant research methodology to provide a graphical
and analytical competitive positioning of Business Intelligence technology providers.
Content
Business Intelligence 1 Market Definition/Description 3 1. Integration 3 1.1 BI infrastructure 3 1.2
Metadata management 3 1.3 Development tools 3 1.4 Collaboration 4 2. Information Delivery 4 2.1
Reporting 4 2.2 Dashboards 4 2.3 Ad hoc query 4 2.4 ... Show more content on Helpwriting.net ...
*
2.2 Dashboards * This subset of reporting includes the ability to publish formal, Web–based or
mobile reports with intuitive interactive displays of information, including dials, gauges, sliders,
check boxes and traffic lights. These displays indicate the state of the performance metric compared
with a goal or target value. Increasingly, dashboards are used to disseminate real–time data from
operational applications or in conjunction with a complex event processing engine. *
2.3 Ad hoc query * This capability enables users to ask their own questions of the data, without
relying on IT to create a report. In particular, the tools must have a robust semantic layer to allow
users to navigate available data sources. These tools should include a disconnected analysis
capability that enables users to access BI content and analyze data remotely without being connected
to a server–based BI application. In addition, these tools should offer query governance and auditing
capabilities to ensure that queries perform well. *

2.4 Microsoft Office integration * In some use cases, BI platforms are used as a middle tier to
manage, secure and execute BI tasks, but Microsoft Office (particularly Excel) acts as the BI client.
In these cases, it is vital that the BI vendor provides integration with

Business Intelligence And Its History
1 – Summary
All businesses, regardless of their size, have to deal with some form of raw data that can reveal
insightful inferences if properly processed into meaningful information. However, data processing is
a tough row to hoe for big and medium–sized enterprises that are exposed to large volumes of data.
So, these enterprises turn to business analysts for help.
Business analysts engage in Business Intelligence (BI) initiatives to derive useful information out of
of raw data. One popular BI technique is data mining. This research paper overviews Business
Intelligence and its history, followed by an in–depth discussion on data mining, including its
functional framework, its popular models, end–users, issues and trends. The paper also ... Show
more content on Helpwriting.net ...
In late eighties, industry expert Howard Dresner suggested "Business Intelligence" as a holistic
concept. According to him, business intelligence was a method that assisted in fact–based decision
making. Since then, business intelligence has come a long way, evolving into a full–blown field of
study.
Panian, Z. (2012) identifies six stages in the evolution of business intelligence to its current state.
Business intelligence first got introduced to the business world through 'Data Mining'. Initially, data
mining was a concept alien to the business world. But in late eighties, the business community
started to find great utility in its practice. Businesses discovered that the data mining process could
be employed to predict solutions to complex business problems.
Following the simpler data mining techniques, the more complex 'On–Line Analytical Processing'
(OLAP) techniques marked the second phase in the evolution of business intelligence. OLAP
applications helped in complicated analysis of data stored in big data warehouses. These analytical
applications broke down data into various dimensions to arrive at more factual results than data
mining.
Then came the third evolutionary stage of 'Balanced Scorecards' (BSC) that elevated business
intelligence to another level. Moving beyond decision making, Business Scorecards helped
businesses in performance tracking. Particularly, BSCs helped the top management to analyze
whether their strategic

Business Intelligence And Retail Industry
BUSINESS INTELLIGENCE IN RETAIL INDUSTRY ABSTRACT Business Intelligence (BI)
tools are extensively adopted by many companies to operate as efficiently as possible. The report
investigates a BI adoption in a retail chain. . The analyzed data and reported actionable information
help the stakeholders take right decisions in their business. Finally, the presented research identifies
innumerous benefits including decision–making to be the most vital by the retail chain managers.
Contents DESCRIPTION OF ANALYTICS IN THE RETAIL DOMAIN 2 SYSTEM
REQUIREMENTS FOR SAP BO 2 DATA USED IN KNOWLEDGE DISCOVERY 2 DATA
SOURCES USED 2 IMPLEMENTATION AND METHODOLOGY USED 2 CONCLUSION –
THE REPORTED EFFECTIVENESS OF THE SYSTEM 2 REFERENCES 2 ... Show more content
on Helpwriting.net ...
DATA SOURCES USED The following data sources were used by the retailer for their Data
Warehouse (DW). 1) Internal ERP system. 2) POS (detail data from individual stores) 3) Shop guard
system 4) Planning data gathered during discussions about implementing the BI project. 5) Manual
CSV files. Some of the data were acquired through third party applications used in the company.
Integration has following layers Web Application Layer Database Server Layer Data Services
Service Layer Ad–hoc ETL processes were created to populate the DW. Reporting The various
reports which were the most critical part of this implementation included reports for the various
functional areas like: 1) Sales. 2) Shopping cart. 3) Customer Turnover. SAP BO objects – OLAP
cubes "Each functional area was represented by an OLAP cube and defined reports. OLAP cubes are
basic data sources for defined reports. The structure of every OLAP cube in SAP BO tools is defined
by "universe." The BO universe is a business representation of a company´s data that helps end
users access data autonomously using common business terms; it also isolates business users from
the technical details of the databases where source data are stored. Reports were made in relation to
OLAP cubes. Granularity and periodicity were defined for each report by managers of the project
team. The creation of a data

The Process Of A Business Intelligence System
This project is written to explain the processes involved in implementing a business intelligence
system. It continues to describe the technologies involved in a business intelligence system, as well
as the purpose of the system and how it can help companies become a leader in the industry. Lastly,
the report contains facts about industries that have implemented a business intelligence solution,
how they use it, and the benefits they reap from the implementation. The report covers multiple
industries, but focuses on Chevron oil company and analyzes its business intelligence solution.
Overview
Business Intelligence refers to the variety of systems used by a company to analyze their raw data.
The data is stored in data warehouses, in which ... Show more content on Helpwriting.net ...
A productive business intelligence system is one that is able to gather, provide access to, and
analyze data for the purpose of allowing businesses make better decisions ("What is business
intelligence", n.d.). This means that analysts are able to gather the information, store it in such a way
that it is easily accessible, and analyze the data so that companies are able to make quicker and more
intelligent decisions. Some of the main purposes of business intelligence are to use in comparison to
competitors, reveal changes in customer behavior and spending patterns, and determine the market
conditions and future trends in the industry ("What is business intelligence", n.d.). Business
intelligence allows businesses to see how their sales, products, and services compare to that of their
competitors. In doing so, the company is able to determine what needs to be changed, as well as
how to improve upon existing competencies. Another benefit to implementing a business
intelligence system is that companies are able to see the trends in customer spending patterns. Over
time, a company might see sales dwindling in a certain product because it has been overshadowed
by a new release. For example, with the release of the PlayStation 4, retailers have noticed a decline
in sales of the PlayStation 3. This means that retailers must carry lower stock, or none at all, of the

Business Intelligence Systems
Touro University International
ITM501 – Management Information Systems and Business Strategy
Module 2 Case Assignment: Business Intelligence Systems
04 June 2010
Business intelligence: Definition Business Intelligence (BI) is defined by IBM as, "the discipline
that combines services, applications and technologies to gather, manage and analyze data,
transforming it into usable information to develop insight and understanding needed to make
informed decisions." (IBM.com, 2006) In its most basic form, BI is an umbrella principle that
synergizes the core understanding of your business, including all of its facets, and acting on what
that foundation is made up of. The quality of your BI traditionally depended on the experience ...
Show more content on Helpwriting.net ...
IBM's solution offers a reasonable starting point for low cost startup and growth planning. Data
Base 2 (DB2) Warehouse is IBM's BI software. The BI software focuses on data warehousing,
consolidating data from unrelated sources and forms a "single version of the truth" (IBM.com,
2007), available to users through a variety of analyses. DB2 Warehouse is built to manage mixed
workload, run queries concurrently, and also pre–aggregate related data for improved query
performance. DB2 Warehouse capabilities include modeling, data mining and visualization, and
embedded analytics and database management tools. DB2 has an integrated compression that has
proven a savings of 45–69% disk space, and a workload control that automatically prioritizes and
schedules queries. In addition to basic data warehousing and mining, IBM has prepackaged
solutions for specific industries: banking, retail, insurance, healthcare, telecommunications and law
enforcement. DB2 Warehouse will serve clients running Microsoft® Windows® XP or 2000, and
run on servers with any of the following operating systems: IBM AIX® 5L™, Red Hat Enterprise
Linux® 3 and 4, SUSE Linux Enterprise Server 9, Sun Solaris 9, Microsoft® Windows® Server
2003. It is compatible with two web browsers: Microsoft® Internet Explorer and Mozilla Firefox.
Microsoft® offers BI built around the already widely used Microsoft Office® suite. The primary BI
component is Excel

Business Intelligence ( Bi ) And Business Analytics
Business intelligence (BI) and business analytics (BA) (sometimes used interchangeably) has
revolutionized the way businesses use data and can be contrasted, for the purpose of this essay, in
the following way: BI is raw data that has been transformed into meaningful information that
provides historical, current, and predictive views of business operations and environment, and BA
uses data and statistical methods to provide actionable information for decision makers. BI explains
what is happening, identifies the issue, and provides decisions to be made and BA explains why an
issue is occurring, what will occur, and what actions need to be taken. At the forefront of BI/BA
technology is International Business Machines (IBM) with a very broad array of related products
and services. Among the more popular products are its flagship analytics product IBM Cognos and
its Predictive Customer Analytics. IBM's Cognos Analytics allows business and IT professionals to
prepare and distribute all types of business reports from all departments with an organization and
access pertinent information such as financial reports, sales trends, production yields, and inventory
on any device on an hourly basis. IBM also offers a Predictive Customer Intelligence solution, an
integrated software which uses automation to acquire customer information such as buying
behavior, web activity, and social media presence to model and "score" costumer behavior and
provide customized actions so that a business

Marketing Intelligence : Business Intelligence
Business Intelligence Paper
Course Name: MISI 740 Business Intelligence
Submitted by: Akshay kumar Minare
Submitted to: Professor Robin Barraco
Date: 08/05/2016
Business Intelligence Paper
Course Name: MISI 740 Business Intelligence
Introduction
Business Intelligence can be defined as the combined form of developing and learning the data that
has been collected from various sources and then analyzing it. Business Intelligence is also used to
provide the data in an interactive access to the data which enables the business analysts to process
out certain analysis by making necessary manipulations in the data. The data that gets manipulated
and analyzed includes the historical data along with the current data along with the performance
levels and the situations through which the analysts are able to make precious insights that can be
used to provide solutions that can result in benefitting the organization. Thus, Business Intelligence
is basically taking actions based on the decisions that are taken by considering the transformed or
the manipulated data (Turban, Sharda, Delen, King, & Aronson, 2011, p. 08)
There are five styles of BI as per MicroStratergy Corp. and they are: enterprise reporting(using
dashboards and scorecards), cube analysis (slice–and–dice analysis), ad–hoc queries, data mining
and statistics and finally alerting and report delivering. (Turban, Sharda, Delen, King, & Aronson,
2011, p. 12)
Considering the present business trend, a

Business Intelligence Plan Essay
Business Intelligence Plan
Executive Summary
The purpose of this report is to explain the importance of Business Intelligence and all of its
components for implementation into the business structure. During the recent years obtaining useful
information in real time has become something that is extremely important, if not even a critical,
factor of success for companies. The time managers have available for use in making business
decisions has been reduced dramatically. Competitive pressures are now requiring that businesses
make intelligent decisions based on their incoming business data, and these decisions must be made
immediately (Business Intelligence and Data Warehousing, 2005, p.5; Hocevar & ... Show more
content on Helpwriting.net ...
This is an essential component of BI for arriving at valid business decisions. Similar data can be
stored in multiple repositories within a single business; one example would be the inventory of
items for sale. When considering data sources, it is important to understand if there is a recognized
authoritative source for a specific type of data. In many enterprises, the data required for making
business decisions is created by wide ranging applications, perhaps from separate lines of business
(Theme 1).
BI systems today have the capacity to work with numerous types of data such as numerical or non–
numerical data. The quality of this data is as important as any other data. The difference in the level
of data quality is one of the many factors that may explain why some organizations are successful
with their BI initiative while some are not so successful (Isik, O., Jones, M.C., & Sidoroya, A.
2011).
Component three is Data Analytics. This component is used for the analysis of data. Data analytics
refers to the business intelligence technologies that are grounded for the most part in data mining
and statistical analysis. Due to the success that has been achieved overall by the data mining and
statistical analysis community, data analytics continues to be an active area of research (Hsinchun,
Chiang, & Storey, 2012).
Data analytics are structured in statistical theories and models, multivariate statistical analysis. It
also covers other

A Case For A Business Intelligence System
A Case for a Business Intelligence System
Uche Ukachu
ISN540–1 – Introduction to Business Intelligence
Colorado State University – Global Campus
Dr. Jose Leparvanche
April 19, 2015
Sir,
In 2011 the giant retailer Target got in trouble for sending coupons for baby clothes and nursery
furniture to a teenage girl. The father drove to the local Target and complained to the manager. Two
weeks later, the father called Target to apologize. After a long talk with his teenage daughter, he
found out she was indeed pregnant. Not only was Target able to predict the teenager was pregnant ...
but they also forecasted what month the girl was likely to deliver her baby.
We cannot all help but notice the steady decline in our market share for the past consecutive 11
quarters. Annual revenue has shrunk by 40% since we last saw a sales growth. Despite all the cost
cutting measures that we have implemented we still continue to see a steep decline in sales. To make
matters worse we do not know why, we do not know how and do not have any insight on what the
competition is doing and how they are doing it. I'm proposing that we adopt a business intelligence
system. This will allow us to see the state of our overall processes, and pinpoint areas of
improvement or elimination. In short, business intelligence will allow us to better analyze the
organization's plans and results. I will provide us with insight into what is working correctly at the
same time identifying potential problem areas

Business Intelligence, Business, And Data Mining
1. Introduction to Business Intelligence, Business Analytics and Data Mining
Business Intelligence is a process which includes different technologies and methods process for
analysing data and presenting information which is helpful for top level management.BI includes
various tools, application, and methodologies that enable organizations to collect data from internal
and external sources, prepare that for analysis develop and run queries against the data and generate
different kind of graphs and reports. Business Intelligence can analysis large amount of data easily
and affectively .Identifying new threats and opportunities and implementing an effective and
profitable strategy based on insight can provide business a market stability and long term stability.
BI technologies provide past, current and future business conditions. Common functions of business
intelligence technologies are reporting, online analytical processing, analytics, data mining, process
mining, complex event processing, business performance management, benchmarking, text mining,
predictive analytics and prescriptive analytics.
The potential benefits of business intelligence programs include accelerating and improving
decision making; optimizing internal business processes; increasing operational efficiency; driving
new revenues; and gaining competitive advantages over business rivals. BI systems can also help
companies identify market trends and spot business problems that need to

Business Intelligence, Accountant, And Marketing Intelligence
I am a student at Bryant and Stratton College working towards his bachelor in the business field. I
haven't yet decided what I want to use my degree to accomplish or what career I see myself attaining
in my future. As I conducted my research on my three professions, I have discovered that I would
like to be a business intelligence analyst, accountant, or maybe even a marketing manager.
Business intelligence analysts are important to the business field. They are responsible for producing
financial and marketing intelligence by querying data repositories and generating periodic reports.
They are also to devise methods for identifying data patterns and trends in available information
sources. Its certain you must acquire or already attain to be a business analyst such as critical
thinking, active listening, reading comprehension, active learning, and also speaking well. They
must complete certain tasks, like for example, Analyzing competitive marketing strategies,
synthesizing current business intelligence, managing timely flow of the business, and also collect
data from available industries reports. As of the 2014 research business analyst median wages are
$40.10 an hour and their salaries are $83,410. What really drew me to this field was the chance to
work with a company to ensure growth and improvement.
Accountants to me are the most important field in the business aspect of the world. They're
responsible for analyzing financial information and preparing financial

Business Intelligence Concept
1.0 Summary
With the advent of economic globalization and information era, the environment of enterprise is
more complex and the competition of market is more intense, the organizational structure of the
enterprise is also more and more complex. In this environment, enterprises want to request to the
survival and development must have efficient operation, the right decisions and quick response. This
requires a tool to help enterprises to produce large amounts of data in the process of operation and
data collection, consolidation, analysis and assessment and then make a correctly predicted basis of
these processes, so as to realize that transform data to information, information to knowledge and
knowledge to profit for enterprises (Nemati, 2004). Therefore, business intelligence was born. In
this essay, it mainly discussed the impact and advantage of business intelligence to enterprise
development, and it also give some examples of applications to help understand the function of
business intelligence system.
2.0 Introduction
Business Intelligence is a computer–based system which is used by organizations for decision
making purpose. In the United States, 500 enterprises which have more than 90% of enterprises use
business intelligence software to help managers make decisions. In this report essay, we talk about
the back ground of business intelligence first, and then defined business intelligence from different
aspects, which are technology, application and data. In the part

Essay On Business Analytics And Business Intelligence
Business Intelligence VS Business Analytics
Business Intelligence is needed to run the business while Business Analytics are needed to change
the business. – Pat Roche, Vice President of Engineering, Noetix Products
Introduction
Business intelligence and analytics (BIA), a term coined in 1989, has gained much reaction in the IT
practitioner community and academia over the past two decades. BIA refers to: (1) the technologies,
systems, practices, and applications that (2) analyze critical business data to (3) help an enterprise
better understand its business and market (research paper).
Traditionally, business intelligence (BI) has been used as an umbrella term to describe the concepts
and methods to improve business decision making by using fact–based decision support systems. BI
also includes the underlying architectures, tools, databases, applications, and methodologies. BI's
major objectives are to enable interactive and easy access to diverse data, enable manipulation and
transformation of these data, and provide business managers and analysts the ability to conduct
appropriate analyses and perform the actions [Turban et al. 2008; Wixom et al. 2011]. Successful BI
initiatives have been reported for major industries, from healthcare and airlines, to major IT and
telecommunication firms [Anderson–Lehman et al. 2004; Carte et al. 2005; Turban et al. 2008].
As a datacentric approach, BI heavily relies on the various advanced data collection, extraction, and
analysis

Business Intelligence System
EXECUTIVE SUMMARY
The term business intelligence includes variety of software which is used for analyzing the raw data
of any organization. When these data are worked upon, company gets useful information of various
disciplines. Examples of such tools are excel, spreadsheets package, database application access,
data mining, data warehousing, reporting and querying software, decision engineering, process
mining, online analytical processing and business performance management etc (Andrew 2011). The
importance and implementation of business intelligence system is very easily understood in the
present report with the help of the case study of O2
Ireland. The problem of churning of customers form the company is a big issue for the company
which was solved with the help of adopting the business intelligence system as and when required.
At the end of the report, useful recommendations are also made which can be utilised by our
company or by any other company in the market which can help them to enhance their work
processes, increase and enhance the productivity in the processes and gain competitive advantage
over the competitors as well,
– 2 –
Contents
EXECUTIVE SUMMARY
........................................................................................................................................ – 0 –
INTRODUCTION AND BACKGROUND
...................................................................................................................... 3

Business Intelligence Is The Gathering And Analysis
Student's Name: Prof Name: Date: Task: Class section:
Business Intelligence is the gathering and analysis of large amounts of information so as to gain
insights that propagate strategic and tactical business decisions. Business Intelligence is the
conglomeration of the processes and technologies which change data into information. It
encompasses a wide category of technologies, including data warehousing, multidimensional
analysis or online analytical processing, data mining and visualization, as well as basic queries and
multiple types of analytical tools for reporting. These technologies allow business stakeholders to
collect, store, access, and do the analysis of data to improve the business decision–making
capabilities (Khan, 2005).
Business intelligence goes in hand with other organization application areas like data mining and
data warehousing. Data warehousing
Data warehousing is defined as the design and implementation of processes and tools to manage and
deliver complete, timely, accurate, and understandable data for

The Future Of Business And Clinical Intelligence Essay
Clinical and Business Intelligence
A Case Study: The Future of Business and Clinical Intelligence in the U.S. Provider Market Prerana
Dave'
Abstract
Healthcare environment is growing exponentially. Health care industry is incredibly complex and
data management can be overwhelming. A business intelligence platform is required to guide the BI
approach and handling of the massive amount of data that is being generated. Executives and
analysts were spending hours in designing and development of reports and charts and how to
integrate information flowing from various sources. To address relevant issues and challenges, BI
deployment in the healthcare industry can provide solution that will impact the organizational
capabilities. Passing of the Patient Protection and Affordable Care Act in 2010 (PPACA), has
dramatically changed the U.S. healthcare system. The purpose of this reform is to make healthcare
available to a greater range of population. There are many components of this act, accessible and
affordable healthcare of all, incorporating technology and coordinated healthcare with in a group of
providers.
Introduction.
Healthcare quality, safety and efficiency have become an economic and national concern. It has
been an area of interest for providers to understand the role of technology to ensure healthcare
quality and control cost. One of the rapidly growing fields with the focus on medical and health data
is business

Business Intelligence Tools
We live in a day and age where Business Intelligence (BI) tools are becoming a standard for
businesses. In the past, decision makers gathered data from thick paper reports, long presentations,
and other inefficient tools. However, with rapid advancements in technology, especially in the field
of Information Systems, decision makers need more sophisticated and efficient tools to make sense
of their businesses. Analytical tools are very useful because they allow decision makers to make
decisions at every level of business. We are getting to the point where these tools are critical for a
firm's advancement and competition. One cannot discuss dashboards without first mentioning the
magnitude of today's data. The data is so complex and enormous that it takes so much effort to clean
it up before doing anything with it. Data must be scrubbed, checked for redundancy, inconsistency,
irrelevance, and finally consolidated. These processes are not a joke; each of them take a significant
amount of effort and time. Many BI tools have automated some of these processes. The next step is
taking the consolidated data and inputting it into a system to create some sort of meaning. This is
quite an obstacle because even if the data can be analyzed and trends identified, it is difficult to
convey trends in a meaningful manner ("Oracle International Corporation"). Research shows that
humans retain more information when it is provided in a graphical format than when the information
is

Business Intelligence Vs. Business Analytics
Business Intelligence VS Business Analytics
"Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on
a freeway." – Geoffrey Moore, author and consultant.
Introduction
Business intelligence and analytics (BIA), a term coined in 1989, has gained much reaction in the IT
practitioner community and academia over the past two decades. BIA refers to: (1) the technologies,
systems, practices, and applications that (2) analyze critical business data to (3) help an enterprise
better understand its business and market (research paper).
Traditionally, business intelligence (BI) has been used as an umbrella term to describe the concepts
and methods to improve business decision making by using fact–based decision support systems. BI
also includes the underlying architectures, tools, databases, applications, and methodologies. BI's
major objectives are to enable interactive and easy access to diverse data, enable manipulation and
transformation of these data, and provide business managers and analysts the ability to conduct
appropriate analyses and perform the actions [Turban et al. 2008; Wixom et al. 2011]. Successful BI
initiatives have been reported for major industries, from healthcare and airlines, to major IT and
telecommunication firms [Anderson–Lehman et al. 2004; Carte et al. 2005; Turban et al. 2008].
As a datacentric approach, BI heavily relies on the various advanced data collection, extraction, and
analysis technologies [Turban et al.

Business Intelligence ( Bi )

More Related Content

Similar to Business Intelligence ( Bi )

More from Kim Moore

Recently uploaded

Business Intelligence ( Bi )