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IJRAR1903076 International Journal of Research and Analytical Reviews (IJRAR) www.ijrar.org 764

Business Intelligence for Business Growth

Dr. ArchanaWafgaonkar

Assistant Professor,

Suryadatta Institute of Business Management and Technology, Bavdhan, Pune, India

__________________________________________________________________________

Abstract: Businesses use business intelligence for the betterment of the business. It is used in various forms

of systems such as executive information system, Decision support system, management information system,

geographic information system, online analytical processing and multidimensional analysis and customer

relationship management. Various reports are prepared which help in strategic decision making of the

business. Managers can analyze the data as required without the support of IT department.

_________________________________________________________________________________________

Key words: system, technology, business, strategy, intelligence, analytics, data, report

Introduction: Nowadays the processes of organizations and enterprises require a lot of information.

Initially spreadsheets were used which were able to provide pool of data which was not having reporting

capabilities and hence contributed less for decision making. This was time consuming and time was

wasted in merging and comparing data especially when the data is unstructured and large. Hence it is

necessary to use BI for decision making. Information required for analysis will vary from organization to

organization.

When the boundaries and overheads of this approach become obvious, then an enterprise is ready for BI

technology that's free from their operational applications. Efficient use of BI can be made to grow their

business.

The level of the information that needs to be analyzed will vary by industry and enterprise size, however,

all domains can make efficient use of BI capabilities to grow their business.[1]

Business intelligence is used for collecting, analyzing and presenting the data in the required format

which helps in decision making in business without information technology support. Various software are

used for it. It also helps in gaining competitive advantage with the other businesses. It also helps in

performance management. It helps in adding new products as well as discarding the products which are

not successful financially. It helps various departments like accounting for customer billing and human

resource for selection process for finding interviewees.

Objectives: To understand the concept of business intelligence.

To find the use of business intelligence in various sectors.

To know the technologies used for business intelligence.

To find the relation of data mining in business intelligence.

To find the steps in implementation of business intelligence

Research Methodology: This is a exploratory and descriptive type of research. Secondary data has been used for this research

paper. Various books, websites and magazines have been used for this research.



Literature Review: Latest updates in BI Business:

It was forecasted by Ehtisham Zaidi, Principal Research Analyst – Gartner .in June 2017 that India BI

and Analytics software revenue will reach $245 million in 2017. The increase of 24.4 percent over

2016 which was $206 million. This revenue includes revenue of BI platform, traditional as well as

modern, science platforms, analytic applications and CPM suites. BI and analytics are growing and

widening its applications using upcoming tools, architectures, processes, skills and roles. It is growing

by the use of key elements such as data management including data integration, data quality, data

governance and master management. [2]

ICN authors from IDG contributor network have expressed their views about use of business

intelligence software in banks. It was observed by them that business intelligence in banking is a

complex and strong pipeline and uses various tools. Multidimensional toolkit is used by banks which

consist of tools like - Artificial intelligence. Artificial intelligence and machine learning are used in

banks and hence these technologies are called business Intelligence.[3]

According to Boris Evelson vice president and principal analysts at Forrester Research, for being

ahead in competition BI technology should not be just implemented but also new strategy should be

implemented for the same. At the same time regular maintenance and constant improvement should

be done. [4]

Big data, business intelligence and analytics are the turbo chargers for the mobile apps. Various brand

are using big data and business intelligence to see how their users are making use of their brands. This

technology helps in knowing user’s movements and creates information which will help in knowing

how much the app is being used by their users. It saves user’s time and helps in choosing next action

in their task. The tools used in mobile apps are – 1) Cortana and Siri which forecast the result of FIFA

matches by using big data. 2) Roambi – This app is being used by Fortune 50 companies which

changes raw business data in interactive graphics which will be used by the enterprises. It gathers its

data from various information systems like Excel, Salesforce, Cognos and Microsoft SQL. 3) Roambi

is for external use Oracle Business Intelligence Application is for single enterprise. This app makes

use of number of unstructured data to deliver intelligence in various organizations. 4) Spotify -

Hadoop is used for gathering data by on demand music platform users worldwide and this data is

analyzed to give recommendations to its individual users. App revenue will double from its existing

$51 billion mark. Big data is necessary for app market to reach its $100 billion level. This revenue

data shows the use of app which will further rise in future by 2020. [5]

Quicken Loans Inc is largest online mortgage leader and second largest of all retail leader in USA.

They achieved this success with the use of BI. They changed their performance management

processes from manual to BI driven dashboards and user defined alerts which help in finding

opportunities and solving problems. Client interaction is improved due to online interaction of

users.BI improves operational intelligence in multiple systems and businesses. BI has four major

applications – 1) Smart devices everywhere – have created demand and for effortless 24/7 success to

insights. 2) Data are big business –The insight supports decisions and actions. 3) Advanced BI and

analytics – are providing low cost and flexible solutions4) Advanced BI and analytics – helps to ask

questions that were unknown previously and unavailable.[6]

According to Chris Hagans, vice president of operations for WCI Consulting. It is necessary to give

importance to quality over quantity. You should trust the tools and the data these tools produce. These

tools can help IT as non IT businesses. Priority can be given to the BI tools which will be more

suitable for the improvement. These tools will help growing the business and BI grows along with it.

Business intelligence tools like Motivity helps in mortgage banking. Beye specializes in BI analytics.

Also tools like Bank BI helps banks with specific features needed to carry the functions of banks. loT

technologies are used for purchasing wearable devices. Financial institutions like banks are investing

in lo Technologies.BI tools are also used for fraud prevention and cyber security. Other tools of BI

help in managing and preparing data.



Intelligent technologies for hospitality businesses – Sudensha Datta, executive vice president and

Co-founder at absolute data analytics explain how business intelligent is helpful for hotel businesses.

According to her hotels need right information for important decisions at right time which is

unavailable. BI helps in providing this information in the areas like marketing, customer service

management, sales and revenue management etc. BI helps by providing reports, analyzing data and

drawing etc. and can enhance the outcomes of the businesses. Functions of BI in various areas – 1)

1) Customer Service and Management – It has two areas where BI can help -1) Guest Profiling 2)

Improved Stay Experiences. 1) Guest Profiling – BI helps in analyzing customers and their

purchasing habits or travel/stay preferences Using this information hotels offer value added services

for enhancing value added services to gain customer satisfaction and loyalty. Using this knowledge

they can decide what groups of people can be targeted, what changes should be made in the services.

They can also decide what are in-season and off-season travelers and can design tailor made stay

packages in the corporate, leisure and luxury categories. 2) Improved Stay Experiences – By

knowing right preferences of the customer’s right offer or deal can be created. Using BI tools

information such as housekeeping preferences, buying patterns and preferences of the visitors can be

obtained.

2) Marketing - In marketing BI helps in understanding campaign performance and creating

maximum effectiveness of the campaign. BI helps in granular analysis of the sales channels, room

type, geographic origin, length of stay, ancillary spend lead time membership program status or other

such factors for expanding marketing budgets across online and offline selling channels.BI helps in

time seasonal activities such as booking in all seasons and markets. Personalization – Hotels can

offer more personalized services by knowing visitors guest plans, interests, demographics and

preferences by knowing their needs. BI also helps in enhancing the brand status.

3) Sales and Revenue Management – In this area BI helps in -1) Recognizing lead time – BI can

helps in knowing lead time of each booking by knowing guest folios. Here lead time means time

between reservation by the customer and arriving at the property. Using these hotels can find their

room availability and operations with respect to demand. 2) Pricing – Pricing is decided by

considering demand and price sensitivity of travelers. BI helps in finding pricing position, guest

budget, customer price sensitivity, competitive pricing, historical pricing and control pricing

fluctuations. BI also helps in changing pricing policies, improving business contacts, and recover lost

sales and also to ensure sales. [7]

BI also helps in finding and utilizing this data from various sources and can find the sources

of revenue generation which in turn will allow in finding future demand. BI also helps hotels to be

agile and efficient for latest updates in business. It also helps in finding new segments and

implementing them faster than their competitors.

Toyata Motor sales USA are a US distributor of cars and trucks built by Toyata. It uses business

intelligence to excel. It had a problem of directionless data with errors. There was huge competition

from Honda and other companies. It also had a problem of communication and coordination along the

supply chain. Departments had a problem of communication. Management was unable to get the

needed information. Toyata system used BI which sorted out the above problem using following tools

of BI –

A data warehouse with historical data

Tools for conducting and analysis and data manipulation

A visualized user interface for the top management (i.e. dashboards) [8]

The technical writings of Daniel Acevedo - BI - A framework for self – Daniel Acevedo is in

information technology from last 20 years. He has done front end , middle tier and database design and

coding as well as project management. He is working on customer, partner and vendor integrations in

service industries. He is working on Business Intelligence for a great medical devices manufacturer.



Different business use cases should be found out and BI tools should be offered matching those cases

depending on the requirement. The requirement of businesses can vary as follows –

Consumer Driven Use-Case – It is very frequent in operational environment and requires

defined metrics which do not change very often and they are used to consume, interact and

personalize.

Creators Use Case – This is used for customer interaction using interactive dashboards,

query, Author, share etc. which allows end users to manipulate information.

Analysts Use Case – It gives user self directed experience, gives end users a blank canvas to

iterate as much as possible. Analysis tools help in connecting, discovering and collaborating.

Using these tools business should be able to give everything the user needs. This framework gives user BI

tools which they need. Today’s self service drive may be tomorrow’s BI needs. Businesses should use BI

tools to adoption and speed iteration and collaboration between IT and businesses. Business should also

share datasets across persons and families. Datasets are always conformed and validated for the use

across the enterprises. [9]

Business Intelligence (BI) is a term related to technologies, applications and practices for the collection,

integration, analysis, and presentation of business information Data gathered using business Intelligence

in the data mart or data warehouse and the operational data can provide past, current and predictive views

of business methods and operations. This data can also be used by executive information system and also

for writing reports and books. Software used for it provides reporting, slice and dice analysis, pivot table

analysis, visualization and statistical data mining. This software can provide assistance to various

departments like sales, production, finance etc. for checking the business performance. For information

management data and contents are integrated and are not considered separate.[10] Business Intelligence

http://itandmanagement.com/wp-content/uploads/2015/04/Framework-for-Self-Service-Business-Intelligence-Diagram.png



became popular in 1990. Due to high level of competition businesses need one analytical system which

will enhance their capabilities for reinventing the information the businesses posses. Business Intelligence

has two meanings - 1) Human intelligence used for business 2) intelligence as information used for

currency and relevance. There is one more term named competitive intelligence which is used to survive

in the competition. BIS can also be used for storage, transform load processes, data warehousing and

analytical processing. BIS is also used for performance and risk management. This is also used to find

what, why and how things are happening. It helps organizations in customer support, market research,

statistical analysis and product profitability. Complex data is converted to get business values.[11]

Currently business intelligence vendors are using top the pyramid approach but now they have also

started using bottom of the pyramid approach. Self Service Business Intelligence assists business people

in accessing business data without direct IT involvement. Without having technical skills end users can

analyze the data, make decisions & can do planning and forecasting for the business.[12]

The most common kinds of Business Intelligence systems are:

1) EIS - Executive Information Systems

2) DSS - Decision Support Systems

3) MIS - Management Information Systems

4) GIS - Geographic Information Systems

5) OLAP - Online Analytical Processing and multidimensional analysis

6) CRM - Customer Relationship Management [13]

Business Intelligence has evolved from Decision Support System which started in 1960 and developed

throughout the mid 1980.

Enterprises use business Intelligence for their strategies and technologies for carrying out data analysis of

business information. It is used by the businesses for carrying out works like reporting, online analytical

processing, data mining, process mining, complex event processing, business performance management,

benchmarking, text mining, predictive analytics and prescriptive analysis. For creation and development

of new opportunities new strategies are used by business intelligence by making use of structured as well

as unstructured data which helps these businesses to gain competitive market competitive market

advantage and long term stability. Decision making is made easy with the use of BI. These decisions can

be strategic as well as operational. Operational decisions may include product positioning and pricing..BI

is also effective for strategic business decisions which involve priorities, goals and directions. BI helps in

giving full data internal as well as external which can be used to find new markets and to know the

demand and stability of products and services. It also gives the idea about the amount of marketing efforts

required. Data is collected from the data warehouse (DW) or from data mart A data warehouse contains

an analytical data which can be used for decision making. BI and DW combined is indicated by Bi/DW or

as BIDW.[14]

Business Intelligence provides important information for the business for survival in the

competition. For example, Burger House introduced some new items. The company wanted to change the

menu for attracting new customers. For this they wanted to find out which items are successful and which

are not. They also wanted to discard the items which were not successful financially. Business

intelligence software can be used for carrying out this work. Thus BI can also be used for taking decision

as to what items can be changed which are not successful. Bi also helps in modifying individual and team

work practices.[15]

BI systems reside on servers but cannot handle big data. To handle this data they need

systems such as Hadoop or massively parallel processing (MPP) database management systems. MPP is a

system of many parallel servers which help in executing a single program. In addition, several data

analytics vendors such as SAS are developing their own software for handling big data.

How Business Intelligence Works–Operational data is usually stored in corporate databases. This data is

analyzed and converted into meaningful information using BI tools. Results in the form of reports, graph,

real time alert, forecasting and data mining are generated. BI helps business users without technical

knowledge to extract corporate data, analyze it and assemble reports.BI manages alert lists and sets watch



rules based on conditions and thresholds. It helps in data modeling, transformation, consolidation, data

mining, data analytics and business explorer reporting.

[16]

Business Intelligence concept 1) BI initiatives can be applied to the decisions.

2) The required data only should be sent for making a particular decision.

3) If the information is structured the information obtained from it is more enhanced.

4) Better decisions can be made using one version of truth.

5) Decision making for the goals also can be made using business intelligence if you are sure about the

result.

6) For focusing on the decisions you have to link information and decisions very closely.

7) IT solutions can be used to prepare business intelligence results of a particular industry.

Business Intelligence Architecture It has four parts – 1) Information architecture

2) Data architecture

3) Technical architecture

4) Product architecture

1) Information Architecture – It includes application systems used to access, report and analyze the

information to enable business decision making BI systems include reporting and analysis tools. For e.g.

decision making in sales to find the performance of the sales representatives. For this the analysis of the

data can be done using information architecture.

2) Data Architecture – It defines data and source systems framework for transferring the information. It

decides information requirements, the sources to get the information. It also supports business rules and

the transformations for the information

3) Technical Architecture – It defines the technology of the product and infrastructure. It includes

RDBMS



[17]

Data Mining for Business Intelligence For developing business intelligence, data is converted into meaningful format by using data mining.

Various processes of Data mining are used for various business processes to understand the customer as

well as operating processes better and to solve complex organizational problems. Data mining tasks are of

three types – 1) prediction 2) association and clustering.

1) Association – It finds commonly occurring group of things for e.g. beer and diapers going together in

market basket analysis.

2) Prediction – By observing future occurrences of events future occurrences of events can be found out.

3) Clustering – It involves grouping of things based on their characteristics. For e.g. grouping different

customers based on their demographics and past purchase behavior

4) Sequential Relationships – Sequential events for predicting future occurrences are identified for e.g.

customer having checking account will open savings account in future followed by an investment account

within an year.[18]

Elements of BI There are various elements of reporting. They are as follows -

Interactive reporting:

Use of interactive reporting will help in finding data in one place. It will also help in providing flexibility

and analyzing the data for making proper decision making.

Ranking report:

Depending on the selection criteria ranking report for given dimensions can be done for finding good and

bad aspects of the business.

What-if analysis:

This is needed to decide risks and rewards associated by various related factors for the business.



Executive dashboards:

This also helps in making critical decisions at the executive level. It provides real time view as per the

requirement and interest of the executive

Pivot Tables (Web Based):

This type of tables are interactive and are used to extract organize and summarize data.

Other Visual means:

Using various databases.

Export data to Excel and PDF.

Create ad-hoc reports.

Use of dashboard as a storyline.

Automatic Refreshing for adding real time experience.

Components of BI

1) Business Warehousing – It is a database or repository used to store data used to support decision making

applications It is constructed with methodologies like meta data and ELT. Also data marts are used for

storing departmental data.

2) Business analytics – It is used for analyzing data using tools like online analytical processing (OLAP),

graphical tools and by using trend analysis for creating on demand reports and queries.

3) Business Performance Management – This component is based on balanced scorecard methodology.

This is a frame work for defining, managing and implementing business strategy by linking objectives

and factual measures.

4) User Interface: (Dashboards and other information broadcasting tools) : This tools are used for

organizing and presenting the information which is easy to read & understand and is at one place.

Dashboards present the information in the form of graphs, charts and tables. They can be used to present

the information to know actual performance versus desired metrics. Other broadcasting tools are

corporate portals, digital cockpits and visualization tools. Visualization tools vary from multidimensional

cube presentations to virtual reality.

Business Intelligence applications: are based on personalized and web enabled information analysis,

knowledge management as well as decision support technologies. Increased use of intranet as well as

extranet as well as web has made it possible to get executive class of information in less time period. Use

of business intelligent tools has opened a new tool for suppliers, customers and business shareholders to

make use in supply chain management customer relationship management and other e-business

applications. Everyone in the business is having access to real time information. The whole of the

organization is moving to real time. Activities like accounting and sales analysis can be done with little

efforts and use of business intelligence.[19]

Data mining- helps in finding large amount of useful data and patterns.

Process mining- Using this process analysis can be done which helps in improving business process

management.

Complex event Processing- Meaningful events like text messages and reports can be accounted and

processed.

Descriptive Analysis- Using these already occurred events can be described.

Predictive Analysis- Predicting future outcomes and trends

Reporting- Ad hoc and real-time reporting can be done

Online Analytical Processing (OLAP)-multi-dimensional analysis of business data.

Text mining- This can be done using text information available.

Analytics- Used for analysis of data or stats.

Big data is used for business intelligence and analytics. Many vendors have moved towards launching

new tools. for example SAP uses hadoop for SAP BI and business objects. Where big data means



extremely large data sets that may be analyzed computationally to find patterns, trends, and associations,

especially relating to human behavior and interaction.[20] Big data are the data sets which are huge and

complex to the extent that traditional software are unable to analyze them. Big data has the problem of

capturing data, data storage and analysis. In addition big data challenges include search, sharing, transfer

visualization, querying, updating, information privacy and data source. [21]

Business Intelligence

BI Solutions BI is a 360

0 tool. It can be used by top, middle or tactical or by the frontline or the operations

management, It can be used for –

1) Strategic level to gain competitive advantage

2) Improving performance

3) Initiating new processes for continued improvements

4) Improving processes

5) Cost effectiveness

6) Improving service quality by improving customer interaction [22]

Applications of BI for the business 1) BI is used to measure performance metrics to know the progress of the business.

2) Decision making is done using BI which may include data mining, process mining, statistical

analysis, predictive analytics, predictive modeling, Data undergoes complex event processing and

prescriptive analytics.

3) Strategic Reporting can be done which involves data visualization, executive information system and

OLAP.

4) BI also gives collaboration and collaboration platform by using data sharing and electronic data

interchange.

5) Bi can be used for knowledge management which will lead to learning management and regulatory

compliance.

Business Intelligence

Decision Support

Systems Knowledge

Management

Systems

Online Analytical

System Data Mining

Management

information

System



6) Due to high level of competition business information is required to be updated time to time This can

be done using BI.BIS also can be used to storage, transform load process, data warehousing and

analytical presentation.

7) BIS is concerned with performance and risk management.

8) Business intelligence system

For gathering information Bi also uses techniques such as –

Finding interview teams

Researching organizations

Selection and preparation of interviewees

Scheduling and sequencing interviews

9) It is used to identify market trends and for improving operational efficiency.

10) It is used to find business problems and to add competitive advantage in business. [23]

BI has its subset CI known as competitive intelligence. BI is a decision support system while CI

manages information of business competitors.[24]

Steps for Implementation of Business Intelligence Systems Step 1 : Data is gathered from the corporate databases. This data is then spread to multiple heterogeneous

systems.

Step 2: Cleaning of the data is done. This cleaned data is stored into data warehouse in the form of tables.

Step 3: By using BI applications the user can add queries, prepare reports and conduct any analysis

Examples of Business Intelligence 1) Use of business intelligence for business

In online transaction processing system, information fed can be –

1) Add a product line

2) Change a product price

A query can be send to analyze data for requirement of addition of new product line or increase revenues

change in product price.

Queries can also be sent for –

1) Change in advertisement options

2) Increase radio budget

3) Increase customer credit limits

4) Change in customer salary level

https://cdn.guru99.com/images/1/022218_0435_WhatisBusin2.png



Ex.2 - An Hotel owner using BI application

He gathers statistical information regarding average occupancy and room rate. Query can be set to find

aggregate revenue rate. It helps to find average revenue generated per room. The system also collects

statistics on market share and data from customer surveys from each hotel to decide its competitive

position in the market. By analyzing these trends monthly, yearly or daily

Ex.3 BI Applications in Bank

A bank manager can determine who the profitable customers are and also he can find out which

customers they should work on. Use of BI tools helps managers to get this information without the help

of information technology. In addition department also gets personal access to a richer data source. [25]

Trends in Business Intelligence There are some trends in BI which are given below –

1) Artificial Intelligence – AI and machine learning can take on complex tasks which can be done by

human intelligence. Complex tasks can be achieved by using real time data analysis and dashboard

reporting.

2) Collaborative BI – Collaborative decision making can be achieved by collaboration tools and other

latest technologies including social media.

3) Embedded BI – Embedded BI is used to make integration of BI software or some of its features in

another business application for enhancing its reporting capability

4) Cloud Analytics - .BI applications soon will be used in cloud and more businesses will be moving to

the cloud based technology. Predictions show cloud based analytics will grow 4-5 times faster.[25]

Advantages of business Intelligence 1) To Enhance Productivity –Businesses can create reports quickly which saves time as well as

resources and also makes them more productive for their tasks.

2) To improve quality -It helps in diagnosing the processes and finding areas which needs to be

improved.

3) Find accountability – To find the performance of the business against its set goals

4) It gives general view – Its gives general view for decision makers using dash boards and scorecards.

5) Simplifies business processes – It simplifies business processes by removing complexity. It

automates analytics by making use of predictive analysis, computer modeling, benchmarking and

other methodologies.

6) Easy analytics –Even non analysts people can do analysis for quick collection of data.

BI System Disadvantages: 1) Cost – BI is costly for small and medium sized organizations. It can be expensive for routine business

transactions.

2) Complexity- For implementation of data warehouse BI can be very complex to the extent that routine

business transactions become rigid.

3) Limited Use – BI was first developed keeping in mind rich firms and hence it is not affordable to

small and medium sized companies.

4) Time consuming – One to one and half year is needed to implement data warehousing, hence it is

time consuming.[25]

Findings: By using BI applications the user can add queries, prepare reports, and conduct any analysis. In business

intelligence queries can be sent to find change in advertise options, Increase radio budget, Increase

customer credit limits, Change in customer salary level. It is growing by the use of key elements such as

data management including data integration, data quality, data governance and master management. BI



tools are used for hospitality management for areas like customer service management, marketing, sales

and revenue management etc. BI tools like interactive reporting, ranking report, what if analysis,

executive dashboards, pivot tables are used extract, organize and summarized data. BI tools help in

improving quality, productivity, accountability and easy analytics. Some of the trends in BI like artificial

intelligence, collaborative BI, embedded BI and cloud analytics can be used for enhancing reporting

capabilities and to improve decision making as well as to carry out complex tasks by using real time data

analysis and dashboard reporting. BI is also used to identify market trends and operational efficiency.BI

helps in human resource management by helping in the interview work like finding interview teams,

researching organizations, selection and preparation of interviews.

Conclusion: 1) BI is a 360

0 tool which can be used by top, middle and tactical levels of management.

2) It is used in various forms of systems such as executive information system, decision support system,

management information system, geographic information system online analytical processing and

customer relationship management etc.

3) It provides assistance to various departments like sales, production, finance etc. for checking the

business performance.

4) For developing business intelligence, data is converted into meaningful format by using data mining.

5) Business Intelligence applications are based on personalized and web enabled information analysis,

knowledge management as well as decision support technologies.

6) . Activities like accounting and sales analysis can be done with little efforts and use of business

intelligence.

7) BI is used to measure performance metrics to know the progress of the business.

8) BI tools are costly and complex as well as time consuming for implementation.

9) BI is used to measure performance metrics to know the progress of the business.

10) It is used in various sector like banks, manufacturing and many other industries as well as in

hospitality industry

11) BI can be used for data mining, process mining, statistical analysis, predictive analytics, predictive

modeling, online analytical processing and strategic reporting.

12) BI can be used for performance and risk management.

References [1] https://www.linkedin.com/pulse/business-intelligence-concept-tools-techniques-ishwar-saswade

[2] https://cio.economictimes.indiatimes.com/news/business-analytics/india-bi-and-analytics-

software-revenue-to-reach-245-million-in-2017-gartner/59015354

[3] https://www.cio.com/article/3261406/business-intelligence/how-business-intelligence-in-

banking-is-shifting-the-paradigm.html

[4] https://www.cio.com/article/2437838/business-intelligence/7-keys-to-a-successful-business-

intelligence-strategy.html

[5] https://www.entrepreneur.com/article/304820

[6] E.Turban, Volonino, Wood, Information Technology Management, Wiley Publications, 2016

[7] Sudeshna Datta, Intelligent technologies for new age Businesses: The relevance of BI, Hospitality

https://www.linkedin.com/pulse/business-intelligence-concept-tools-techniques-ishwar-saswade

https://cio.economictimes.indiatimes.com/news/business-analytics/india-bi-and-analytics-%20%20%20%20%20%20%20%20%20software-revenue-to-reach-245-million-in-2017-gartner/59015354

https://cio.economictimes.indiatimes.com/news/business-analytics/india-bi-and-analytics-%20%20%20%20%20%20%20%20%20software-revenue-to-reach-245-million-in-2017-gartner/59015354

https://www.cio.com/article/3261406/business-intelligence/how-business-intelligence-in-

https://www.cio.com/article/2437838/business-intelligence/7-keys-to-a-successful-business-

https://www.entrepreneur.com/article/304820



Biz, volume 11, Issue 06, June 2018

[8] Efraim Turban, Dorothy Leidner, Information Technology for Management – Transforming

Organizations in Digital Economy, Wiley India Edition, 2008

[9] Author: Daniel Acevedo April 6, 2015

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[13] http://datawarehouse4u.info/What-is-Business-Intelligence.html

[14] https://en.wikipedia.org/wiki/Business_intelligence

[15] https://study.com/academy/lesson/what-is-business-intelligence-definition-examples.html

[16] http://www.bis-us.com/businessinte.html

[17] http://www.rosebt.com/blog/modern-bi-architecture-analytical-ecosystems

[18] Efrain Turban, Ramesh Sharda, DursunDelen, Desion Support and Business Intelligence

Systems, Pearson Publication

[19] James A O’Brien, George M Marakas, Management Information System, Mcgrawhill

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[20] https://www.google.co.in/search?q=big+data+definition&oq=big+data+definition&aqs=chrome..

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[21] https://en.wikipedia.org/wiki/Big_data

[22] Jayant Oke, Management Information System, Nirali Publication

[23] https://financesonline.com/purpose-business-intelligence-business/

What Is the Purpose of Business Intelligence in a Business?

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[25] https://www.guru99.com/business-intelligence-definition-example.html

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http://itandmanagement.com/a-framework-for-self-service-business-intelligence/

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http://olap.com/learn-bi-olap/olap-bi-definitions/business-intelligence/

http://datawarehouse4u.info/What-is-Business-Intelligence.html

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https://www.guru99.com/business-intelligence-definition-example.html

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