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© 2018 IJRAR July 2018, Volume 5, Issue 3 www.ijrar.org (E-ISSN 2348-1269, P- ISSN 2349-5138)
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.
© 2018 IJRAR July 2018, Volume 5, Issue 3 www.ijrar.org (E-ISSN 2348-1269, P- ISSN 2349-5138)
IJRAR1903076 International Journal of Research and Analytical Reviews (IJRAR) www.ijrar.org 765
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.
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IJRAR1903076 International Journal of Research and Analytical Reviews (IJRAR) www.ijrar.org 766
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.
© 2018 IJRAR July 2018, Volume 5, Issue 3 www.ijrar.org (E-ISSN 2348-1269, P- ISSN 2349-5138)
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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
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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
© 2018 IJRAR July 2018, Volume 5, Issue 3 www.ijrar.org (E-ISSN 2348-1269, P- ISSN 2349-5138)
IJRAR1903076 International Journal of Research and Analytical Reviews (IJRAR) www.ijrar.org 769
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
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[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.
© 2018 IJRAR July 2018, Volume 5, Issue 3 www.ijrar.org (E-ISSN 2348-1269, P- ISSN 2349-5138)
IJRAR1903076 International Journal of Research and Analytical Reviews (IJRAR) www.ijrar.org 771
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
© 2018 IJRAR July 2018, Volume 5, Issue 3 www.ijrar.org (E-ISSN 2348-1269, P- ISSN 2349-5138)
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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
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IJRAR1903076 International Journal of Research and Analytical Reviews (IJRAR) www.ijrar.org 773
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
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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
© 2018 IJRAR July 2018, Volume 5, Issue 3 www.ijrar.org (E-ISSN 2348-1269, P- ISSN 2349-5138)
IJRAR1903076 International Journal of Research and Analytical Reviews (IJRAR) www.ijrar.org 775
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
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